COST ACTION 1102: Farm Animal Imaging (FAIM)
FAIM IV: Fourth Annual Conference on Body and Carcass Evaluation, Meat Quality, Software and Traceability Edinburgh, United Kingdom. 220d - 23,d September 2015 Conference Proceedings (Profiles/Abstracts)
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...... CDSt: . . Action FA 1102 ...... ,. EUROPEAN COOP£RATlON .. . Food and Agriculture IN SCIENCE AND TECHNOLOGY Funders/Sponsors of FAIM/FAIM IV
COST (European Cooperation in Science and Technology) is a pan-European intergovernmental framework. Its mission is to enable break-through scientific and technological developments leading to new concepts and products and thereby contribute to strengthening Europe’s research and innovation capacities. www.cost.eu
This publication is based upon work from COST Action FA1102 FAIM supported by COST (European Cooperation in Science and Technology)
COST is supported by the EU Framework Programme Horizon 2020
Food Quality Monitoring
We use the power of light and measure rainbows: the optical spectroscopy signature of materials to monitor food quality.
We design and manufacture the equipment and also the processing software to deploy for your application needs and on your site
GILDEN photonics Ltd. 9 South Avenue, Clydebank Business Park, Clydebank, G81 2NR, UK.
Te l: +44 (0)141-952-9475 Frying – Fat and water content in a doughnut (Image from BFI Campden, UK ) Email: [email protected] www.gildenphotonics.com Contents
• Programme Overview...... 05
• Detailed Scientific Programme...... 06-11
• Introduction to FAIM (Objectives, Achievements and Organisational Structure)...... 12
• FAIM Working Group Activities...... 13
• Management Committee Profiles & Abstracts...... 14-17 BOOKLET CONTENTS & BOOKLET CONTENTS &
PROGRAMME OVERVIEW • Working Group Overviews and Chair/Coordinator Profiles...... 18-21
• Workgroup One (WG1) Speaker Profiles & Abstracts...... 22-43
• Workgroup One (WG1) Poster Presenter Profiles & Abstracts...... 44-69
• Workgroup Two (WG2) Speaker Profiles & Abstracts...... 70-85
• Workgroup Two (WG2) Poster Presenter Profiles & Abstracts...... 86-111
• Workgroup Three (WG3) Speaker Profiles & Abstracts...... 112-119
• Workgroup Four (WG4) Speaker Profile & Abstract...... 120-121
• Workgroup Four (WG4) Poster Presenter Profile & Abstract...... 122-123
• Delegate List...... 124-125
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 4 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Programme Overview
21st September 2015 PROGRAMME OVERVIEW 17:00 - 20:00 Royal Society MC40 meeting
22nd September 2015 07:35 & 07:45 Buses leave promptly from Edinburgh (2 buses, 2 stops: see map page 11)
08:00 - 09:00 Registration/coffee/poster boards get used
09:00 - 09:10 Opening by Action Chair
09:10 - 09:30 Prof Geoff Simm; SRUC - the grant holding institute for FAIM
09:30 - 10:30 WG1 Presentations Part 1
10:30 - 11:00 Coffee break
11:00 - 12:00 WG1 Presentations Part 2
12:00 - 13:00 Site visit: CT at the VetSchool
Site visit: CT at SRUC
13:00 - 14:00 Lunch
14:00 - 15:00 WG1 Presentations Part 3
15:00 - 15:30 WG3 Presentations Part 1
15:30 - 16:00 Coffee break
16:00 - 16:30 WG3 Presentations Part 2
16:30 - 17:00 WG4 Presentation
17:00 - 17:30 WG2 Talk and chairs session talk 1 and 2
17:30 - 18:30 Posters, poster competition, snacks, wine…
18:35 - 19:15 Transport by Bus to Edinburgh (to Dynamic Earth)
20:00 - 22:00 Dinner and Ceilidh in Edinburgh (Dynamic Earth)
23th September 2015 07:35 & 07:45 Buses leave promptly from Edinburgh (2 buses, 2 stops: see map page 11)
08:20 - 08:30 Opening the second day and poster competition results
08:30 - 10:30 WG2 Presentations
10:30 - 11:00 Coffee break
11:00 - 13:00 Chair’s session (CS)
13:00 - 14:00 Lunch
13.30 One bus leaves for the airport
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 5 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 Detailed Scientific Programme
Tuesday 22nd September
09:00-09:10 Lutz Bunger Opening FAIM IV
09:10-09:30 Geoff Simm Welcome and Introduction to SRUC PROGRAMME
DETAILED SCIENTIFIC WG1 - Scientific session: Body and carcass evaluation by imaging technologies Classification of broilers using vision technology
In vivo phenotyping of carcass traits in mirror carps 09:30-09:40 Paula Maas (DE) (Cyprinus carpio) using ultrasound, microwave and linear measurements
The effect of breed, sex and degree of maturity of lambs 09:40-09:50 Sotiria Vouraki (GR) on the ribeye area
Relationship between body condition score and Sofia-Afrodite Termatzidou 09:50-10:00 ultrasound measurements of back fat thickness in dairy (GR) Chios ewes
Genetic parameters for growth, carcass composition and 10:00-10:10 Neil Clelland (UK) IMF in Texel sheep measured by CT and US
10.10-10.30 Gérard Daumas (FR) WG1 posters speed-presentation
11:00-11:10 Nicola Lambe (UK) Genetic control of CT-based spine traits in elite Texel rams
Selecting terminal sire breed rams for LMP- effects on their 11:10-11:20 Lutz Bünger (UK) crossbred lambs
Tissue volumes of live pigs from computed tomography 11:20-11:30 Maria Font i Furnols (ES) images with and without viscera
11:30-11:40 Michael Judas (DE) Hounsfield distributions from different CT protocols
Evaluation of performances on density and volume 11:40-11:50 Mathieu Monziols (FR) measurement accuracies of different European CT scanners
Imaging facilities and image analysis for body 11:50-12:00 Gérard Daumas (FR) composition of farm animals in Europe
From cross section to 3D anatomy (problems and 14:00-14:20 Örs Petnehazy (HU) solutions)
14:20-14:40 Tamas Donko (HU) FAIM WG1 summary (2012-2015)
14:40-15:00 Eli V. Olsen (DK) Looking into the future
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 6 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Posters
Use of real time ultrasonography and image analysis to SCIENTIFIC DETAILED Poster 1 Ana Catharina Batista (PT) study relative growth of subcutaneous fat and muscle PROGRAMME depths of ewes
Linear modelling to predict simultaneously sheep and Poster 2 Alfredo Teixeira (PT) goat carcass parameters using in vivo ultrasound data and body weight
Using computer tomography to predict composition of Poster 3 Severiano Silva (PT) light carcass kid goats
Muscle development as characteristic for beef Poster 4 Peter Polak (SK) production in 3 indigenous breeds of cattle in Lithuania
CT phenotyping of carcass traits in mirror carps (Cyprinus Poster 5 Beata Grzegrzółka (PL) carpio)
Image analysis of CT scans to predict fat content in mirror Poster 6 Beata Grzegrzółka (PL) carps (Cyprinus carpio)
Evaluation of CT protocols for optimized volume Poster 7 Stijn Hellebuyck (BE) regression of lean meat in pig carcasses
The influence of the sex type on the mineral component Poster 8 Cristina Zomeño (ES) growth in pigs
Influence of feeding restriction on body composition of Poster 9 Albert Brun (ES) growing gilts evaluated in vivo by computed tomography
Accuracy of computed tomography equation for Poster 10 Marina Gispert (ES) simplified dissection to predict lean meat content from full dissection
Analysis of lean meat percentage analysis of pig Dennis Brandborg Nielsen Poster 11 carcasses: Comparison of two different scanner settings (DK) and two different segmentation methods
Poster 12 Aneka Bauer (DE) Validity of classification equations for boar carcasses
Definition of standards for anatomical specifications of Poster 13 Antoine Vautier (FR) French cuts of pork meat
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 7 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 Detailed Scientific Programme
WG2 - Scientific session: Meat quality
Wednesday 23rd September
Spectra-based techniques for predicting meat quality - 08:30-09:00 Cameron Craigie (NZ) an Australasian perspective PROGRAMME
DETAILED SCIENTIFIC 09:00-09:30 Heinar Schmidt (DE) Raman Spectroscopy for the Assessment of Meat Quality
Measurement of meat foal characteristics by Mid-infrared 09:30-09:40 María Victoria Sarriés (ES) spectroscopy (MIR)
Silvia Ampuero Kragten Physico-chemical data improves prediction models for 09:40-09:50 (CH) drip loss with NIRS in pork slices
Laser backscattering imaging to determine proteolysis 09:50-10:00 Elena Fulladosa (ES) index and texture defects in dry-cured ham
Could the testicle volume be an indicator for 10:00-10:10 Maren Bernau (DE) Androstenon levels in the carcass fat? - preliminary results
Trinidad Pérez-Palacios Low-field MRI and computational texture features to 10:10-10:20 (ES) predict moisture and lipid content of loins
Handbook on reference methods for meat quality 10:20-10:30 Maria Font i Furnols (ES) determination and a WG2 summary
Posters
Low field-MRI to study the cohesion of dry-cured stuffed Poster 1 Teresa Antequera (ES) deboned shoulders from Iberian pigs
Computational 3D texture features to predict sensorial Poster 2 Mar Avila (ES) traits of Iberian loin based on MRI
Pablo García Rodríguez Using data mining and computational texture features on Poster 3 (ES) MRI to estimate salt content on Iberian ham
Automated marbling grading system for dry-cured ham Poster 4 Pere Gou (ES) based on computer image analysis
Poster 5 Kizkitza Insausti (ES) Effect of feeding diet on beef NIR-infrared spectra
M. Jose Beriain Measurement of texture characteristics of beef by Mid- Poster 6 Apesteguia (ES) infrared spectroscopy (MIR)
Thermal imaging use for heat treatment qualification: the Poster 7 Thierry Lhommeau (FR) case of singeing
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 8 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Using a computer vision system for the determination of Poster 8 Ana Catharina Batista (PT) muscle longissimus dorsi colour in CIELab space DETAILED SCIENTIFIC SCIENTIFIC DETAILED
Real-time non-destructive spectral imaging technologies PROGRAMME Poster 9 Adam Stuart (NZ) to determine lamb quality
Intramuscular fat and adipocytes diameter in the Severiano Rocha e Silva Poster 10 longissimus thoracis et lumborum muscle from cull ewes (PT) with different body condition
Intramuscular fat quality indices of farm and wild animals Poster 11 Violeta Razmaitė (LT) in relation to healthy nutrition
Meat and sensory quality of different cattle categories in Poster 12 Martina Gondeková (SK) Slovakia
Fatty acid composition of the Longissimus dorsi muscle Poster 13 Daiva Ribikauskiene (LT) and subcutaneous fats of different pig breeds
WG3 - Scientific session: Software & databases
Tuesday 22nd September
Thomas Martini Jørgensen Artefact removal in Differential Phase Contrast X-ray 15:00-15:15 (DK) Computed Tomography
15:14-15:30 Harvey Ho (NZ) Generic Software Modules for the Meat Industry
Alternatives of PLS regression for the estimation of weight 16:00-16:15 György Kovács (HU) from CT images
From 2D to 3D texture features on MRI to analyse Iberian 16:15-16:30 Daniel Caballero (ES) loin
WG 4- Scientific session: Traceability
Tuesday 22nd September
Farm-to-fork individual traceability in Uruguay: 16:30-17:00 Elly Navajas (UY) applications in animal production and breeding
Posters
Poster 1 Andrew Moxey (UK) Electronic Tracing of Livestock in Scotland
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 9 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 Detailed Scientific Programme
WG2 - Scientific session: Meat quality
Tuesday 22nd September
17.00-17.10 Maria Font i Furnols WG2 Posters - speed presentations PROGRAMME DETAILED SCIENTIFIC
Chairman’s session
Tuesday 22nd September
From 2D to 3D: Current and future use of live imaging 17:10-17:20 Willie Thomson in practical livestock production
Latest developments in the design of Computed 17:20-17:30 Nigel Perry Tomography for Animals
Wednesday 23rd September
Australian view on lamb carcass and meat quality- 11:00-11:30 David Hopkins the role of measurement technologies in the Australian sheep industry
The use of X-ray technologies to determine carcase 11:30-12:00 Graham Gardner composition at abattoir “chain-speed”,
Computed tomography of veterinary patients – And 12:00-12:30 Tobias Schwarz how to print them out in 3D
12:30-12:40 Axel Hinz Assessment of Marbeling using VIA
12:40-12:50 John Gilchrist Hyper-Spectral Imaging Across the Spectrum
Integrating EID technology into hill sheep farming 12:50-13:00 Claire Morgan-Davies management
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 10 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Bus Stops On the Way to RIB GETTING TO THE CONFERENCE
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 11 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 Introduction to FAIM
COST Action (FA 1102) from 20/11/2011 until 20/11/2015 Optimising and standardising non-destructive imaging and spectroscopic methods to improve the determination of body composition and meat quality in farm animals
Summary
This unique COST-Action FAIM brings together advances in CCG systems to measure carcass > 320 experts from 23 (27) EU countries (and yield and MQ, to meet the industry need for beyond). It aims to optimise non-destructive in VBMS, and to improve production efficiency vivo (iv) and post mortem (pm) imaging and throughout the meat supply chain. FAIM will INTRODUCTION TO FAIM spectroscopic methods for the measurement also support EU legislation on individual animal of body composition and meat quality (MQ) identification through showing additional in major farm animal species and to devise benefits\ of feeding back abattoir data on standardised principles of carcass classification individual animals for optimising management, and grading (CCG) across countries. This breeding and providing phenotypic is necessary for the development of value- information, which will facilitate future based- payment and marketing systems implementation of genome-wide- selection. (VBMS) and to meet the urgent need for The main aim of FAIM is to identify, optimise market orientated breeding programmes. and standardise non-invasive in vivo and post- FAIM encompasses collaboration of hard- and mortem imaging and spectroscopic methods software manufacturers with livestock and for the measurements of body composition imaging academic experts to develop required and meat quality in major farm animal products for implementing the scientific species, to integrate automated systems for work. FAIM will coordinate and strengthen their objective assessment, and to facilitate EU scientific and technical research through effective data capture and management at improved cooperation and interactions. This the individual animal level. will be essential for achieving the required
Organisational Structure
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 12 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Objectives
The main aim is to identify, optimise and ■■ To review and develop harmonised standardise non-invasive in vivo and post procedures for in vivo, post-mortem GROUP WORKING
mortem imaging and spectroscopic methods and on-line imaging and spectroscopic ACTIVITIES for the measurements of body composition methods of predicting Meat Quality in and meat quality in major farm animal livestock. species, to integrate automated systems for their objective assessment, and to facilitate ■■ If full automation cannot be achieved, effective data capture and management at a lesser option is provided by semi- the individual animal level. automatic methods, where results are obtained though human-computer ■■ To review and develop robust references interaction. from imaging technologies for measuring body composition. ■■ To review and harmonise methods and equipment for individual animal traceability ■■ To review and develop harmonised to optimise management, breeding and procedures for in vivo, post-mortem and permit the future use of genomics. on-line imaging methods of predicting compositional traits.
Working Group Activities
Working Group 1: Body/Carcass Working Group 3: Algorithms composition ■■ to develop algorithms for data capture and automated or semi-automated ■■ knowledge exchange to develop harmonised procedures for in vivo, post- processing and to review available mortem and on-line imaging methods of software. predicting compositional traits. ■■ to coordinate building of a data warehouse (database structures and ■■ to agree on a strategy for defining references for compositional traits and software) enabling efficient data storage evaluating their robustness. and access, matching compositional and MQ data with pedigree and other performance records. This will allow ■■ to coordinate creating an imaging toolbox comprising phantoms and a 3D across flock/herd, breed and country atlas/template of body composition as a evaluations. reference tool for further research. Working Group 4: Traceability ■■ to review available hardware and equipment. ■■ to review and evaluate existing systems and implementations of individual animal Working Group 2: Meat Quality traceability systems with special focus on traceability in the abattoir. ■■ to review existing procedures and equipment for in vivo, post-mortem ■■ to evaluate the importance of biopsying and on-line imaging and spectroscopic and electronic ID-tags, including data methods of predicting MQ in livestock and acquisition and storage from farm through suggest models to harmonise those. abattoir for feedback to farmers to optimise management, breeding and the future use of genomics.
See also “memorandum of understanding”: http://www.cost.eu/domains_actions/fa/ Actions/FA1102?management
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 13 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 Management Committee Profiles
Prof. Lutz Bunger Prof. Armin M. Scholz Chair of COST Action FAIM Vice Chair of COST Action FAIM
■ PROFILE ■ PROFILE Lutz received the Armin gained his Di- Dipl.-Biol. Degree 1975 ploma in Animal Pro- from the Humboldt duction after studying committee
MANAGEMENT University in Berlin, agriculture at Univer- and the PhD from the sity Leipzig and Hum- Academy of Agric. boldt University Berlin Sciences in 1979. He in 1988. He gained the has been working for Doctorate degree 37/20 years in the field in Animal Breeding of quantitative and (lean tissue growth in molecular genetics, respectively in different swine selection) from Humboldt University Berlin species, from model animals (mice) to pigs in 1990. and sheep; initially at an Institute in Germany, then at the University of Edinburgh and He held Post Doc positions as Animal Breeding subsequently for an internationally operating Scientist at Humboldt University Berlin, at the pig breeding organisation (Cotswold, UK) and Institute of Animal Breeding of the Federal since 2002 at SRUC. Here he works in the Animal Research Institution in Mariensee, Germany, and and Veterinary Sciences team and leads the at the Growth Biology Laboratory of the ARS- growth Genetics Section working mainly on USDA in Beltsville in combination with Howard sheep breeding and genetics, but also on University Washington, DC between 1990 and other farm animals. The computer tomography 1999. The stay in Beltsville/Washington, DC was unit and the experimental sheep unit are also supported by a Feodor Lynen Fellowship of the part of this section. Since working at SRUC he Alexander von Humboldt Foundation, Bonn, has been Project leader/Senior Researcher Germany (18 months) and later by an OECD of several Defra, Scottish Government or LINK grant (6 weeks). funded projects mainly related to the genetics of sheep, disease resistance, growth, body This was followed by a post as Senior Animal composition, meat quality and meat eating Breeding Scientist, Research Leader, and quality using computerised tomography and Lecturer at the Livestock Center of the Veterinary a video image analysis (VIA) system in an Faculty of Ludwig Maximilians University Munich abattoir. His group recently evaluated the in 1999. effects of some ovine muscling genes, trialled lamb VIA for its use in the UK and calibrated VIA Armin received his Venia Legendi for Animal and CT against dissection. Recent work aims Breeding and General Agriculture based on to implement genome wide selection in small his Habilitation thesis with the main topics of ruminants. He has been involved in numerous magnetic resonance spectroscopy/imaging, applications for funding to Defra, LINK, BBSRC, and dual energy X-ray absorptiometry in pigs Wellcome Trust, European Funding bodies of different stress susceptibility in 2003. He and to the TSB. Recently he became Reader became an Academic Director in 2011. His for quantitative and molecular Genetics main research interests and expertise are farm and Professor for Growth Genetics. The main animal imaging, breeding and genetics + dairy fields of his research interests are the use of cattle management by using robot milking. new technologies in animal breeding. He has published >150 papers in peer reviewed journals.
[email protected] [email protected]
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 14 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Prof. Charlotte Maltin Biomics Limited, UK MANAGEMENT ■ PROFILE committee Charlotte Maltin is a muscle biologist and has worked in animal production and meat quality. She is interested in imaging, and in the use of imaging based Training school 2014 methods to measure body composition and meat quality. She is the (ii) through the publication of joint papers managing director of Biomics Ltd, a company based on our research and by publishing specialising in research, innovation and papers based on the presentations given at technology exchange our annual meetings
Coordinator for Communication and Knowledge Exchange.
The aim of the COST Action FAIM is to optimise and standardise non-destructive imaging and spectroscopic methods to improve the determination of body composition and meat quality in farm animals.
Communications within FAIM are achieved through:
(i) working together in the training camps organised by the work group leaders, through visiting other science groups in the Short Term Scientific Training Missions (STSMS), through working together in the working groups (WG) and at the Management Committee (MC)- meetings and at the annual conference.
(iii) through our website: http://www.cost-faim.eu which is now getting visits from people from many different countries all over the world.
FAIM III conference at Copenhagen 2014
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 15 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 Management Committee Profiles
Maren Bernau – Ludwig-Maximilians University Munich, Germany
■ PROFILE Since 2012, FAIM supported already 26 missions. The missions involved both industry Maren Bernau studied and research facilities. Everybody in the FAIM veterinary medicine network was invited to send an application
committee at the Justus-Liebig-
MANAGEMENT for an STSM including a short project outline University Giessen from relevant to the FAIM objectives. 2003-2009. She obtained her doctoral thesis at Furthermore, FAIM initiated Training Schools the Livestock Center dealing with different FAIM topics. This year we Oberschleiss-heim of the planned two training schools. Veterinary Faculty of the Ludwig- Maximilians The first was held in Monells-Girona, Spain, University, Munich in 2011. Subsequently she organized by Maria Font I Furnols and her team worked at the Institute for Animal Science of about “non-destructive on-line technologies to the Rheinische Friedrich-Wilhelm-University, determine quality of meat and meat products: Bonn from 2010-2011. From 2011 until now, she functioning principle and chemometrics”. works as a scientist at the Livestock Center Trainees from 11 countries were supported by Oberschleissheim. The main field of her research FAIM to join the training school. is the use of imaging methods in farm animals (mostly pigs, sheep and calves).
COST funding offers the possibility of so called Short-Term Scientific Missions (STSM). The aim of an STSM shall be contribute to the scientific objectives of FAIM. These missions are aimed at strengthening the existing networks by allowing scientist to go to an institution or laboratory in another COST country to foster collaboration, to learn a new technique or to take measurements using instruments and/or methods not available in their own institution/ laboratory. They are particularly intended for young scientists. STSMs can be from one week Monells-Girona training school up to 3 months or even 6 months for early stage researchers (ESR; PhD + 8 years). The missions Our latest training school was held in August are supported by fixed grants of up to 2500, - 2015 in Lyngby, Denmark, only four weeks ago, EUR or 3500, - EUR in case of ESR and a duration dealing with “Big Data, Data Warehousing, of more than 3 month. and Data Analytics”, organised by Marchen Hviid and Bjarne Kjaer Ersbøll.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 16 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Neil Ramsay – Representative of the Future Farming Systems - Our interdisciplinary ‘Grant Holding Institute’: research aims to understand and meet the
needs of a wide range of future farming MANAGEMENT
SRUC, Edinburgh, UK systems. committee
■ PROFILE Land Economy, Environment & Society - Our research aims to improve the economic, Neil Ramsay is an environmental and social sustainability of rural administrator at Scot- areas in particular development of sustainable land’s Rural College agricultural systems and food supply chain. (SRUC) and is the FAIM grant holder. Our Research Strategy Neil is responsible for administration of • To do excellent strategic and applied European Commission research on the global and local food funded research at security issues, and to actively support the SRUC including the translation of research results into practice. FAIM COST Action for which Neil is the Grant Our research ethos is strongly collaborative, holder, administrator and secretary to the and we have a long history of industrial, Management committees (MC8 & MC40). NGO and academic partnerships locally and internationally.
• As well as having longstanding disciplinary strengths in several key areas, we actively promote interdisciplinary research, especially linking natural and social sciences.
• We have a particular interest in research that helps inform policy, with Scottish You can learn more about SRUC at: and UK Government rural affairs and http://www.sruc.ac.uk environment departments and the EU as key research clients. Research at SRUC is focused on rural, environmental and land-based activity and Our Key Resources underpins our education and consultancy. Our work addresses health and productivity in • Experimental farms including main livestock animals, animal welfare and crops, promotes and crop species low carbon farming and increases farm output through efficiency and innovation. • Plot-scale agronomy trial capability • Nitrous oxide emission measurement Our vision is to be a dynamic and innovative equipment research community that benefits the rural economy and rural communities and • Individual food intake measurement enhances their environment through the facilities for dairy and beef cattle following Research Groups: • Methane measurement facilities for livestock Animal & Veterinary Sciences - Our strengths are in a number of science areas particularly • Suite of techniques for monitoring animal genetics, animal behaviour, nutrition and behaviour epidemiology. • CT and ultrasound scanning facilities Crop & Soil Systems - Our vision is to be • Animal and crop science laboratory recognised for the quality of our science and facilities knowledge exchange with stake-holders, to benefit crop production and health, the [email protected] environment, and the rural economy.
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 17 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 – Body / Carcass composition
Chair of WG1 WG1 – Summary of 2012-2015 Gérard Daumas - Institute for Pig & activities and WG01T12 Pork Industry, Le Rheu, France The main objectives of Workgroup 1 were to ■ PROFILE develop harmonised procedures for iv, pm and on-line imaging methods of predicting Gérard graduated as compositional traits and to coordinate the agronomist engineer building of a 3D atlas/template per species as committee
MANAGEMENT from the Agronomy a reference tool for further research. High National School of Rennes in From 2012 to 2015 WG1 organised the scientific 1981. He has been session of four Annual Conferences (AC), seven working for 30 years Workgroup Meetings (WM) and one Training in IFIP (formerly ITP: School (TS); WG1 took part in seven Short-Term Technical Institute for Scientific Missions (STSM). Pig) and since 1989 in the carcass and meat quality department in Altogether 77 presentations were given at Brittany. Since 1990, he has been the French the AC, with a further 36 talks and 41 posters. expert for pig grading in the EU working There was an even spread of the presentations group. He evaluated and calibrated several with a 50%-50% focus on in vivo and on imaging techniques for carcass composition, carcass examinations. The majority of the including ultrasound, Video Image Analysis presentations were on pigs (31), while there (VIA), Magnetic Resonance Imaging (MRI) were 26 presentations on ruminants (cattle, and Computed Tomography (CT). sheep, goat), four on poultry as well as on rabbits, 2 on horses, 5 on fish, 1 on mice and 2 [email protected] on phantoms.
CT imaging modality was the most popular Vice Chair of WG1 modality appearing in 42 presentations, visual methods appeared 13 times, MRI 7 times, US Tamás Donkó - Kaposvár University, 11 times and DEXA in 5 studies. Institute of Diagnostic Imaging and Radiation Oncology, Kaposvár, Most of the WM were in connection with the AC, but three were not: (1) in Jan. 2013 in Lyngby Hungary (DK) about “Use of phantoms in computed tomography”, (2) in Aug. 2013 in Nantes (FR) ■ PROFILE during a specific combined WG1-WG2 session He obtained his of EAAP, (3) in Nov. 2014 in Paris (FR) about “CT MSc degree (1998) as a reference for carcass composition”. in animal science. Tamás undertook his The TS was held over three days in October PhD research studying 2013 in Rennes. The topic was: “Pig carcass the atrophic rhinitis of composition measurement by CT and MRI - pigs using CT imaging. Live Pig measurement by CT- From acquisition He has been working to data analysis”. Twelve trainees from 12 as a researcher at the countries took part in the TS as well as four Kaposvár University trainers. (Hungary), Institute of Diagnostic Imaging and Radiation Oncology since 2007. He is The seven STSM assigned only or partly to WG1 responsible for the CT based animal breeding involved the eight following countries, once or programs (poultry, rabbits) and further research several times: BE, DE, FR, HR, IT, LT, PL, SK. areas including in vivo and post-mortem CT and MRI examinations for animal breeding and veterinary purposes.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 18 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG2 - Meat Quality
Chair of WG2 tion to related zootechnical factors. She has been involved in several EU projects (e.g. EU- Maria Font-i-Furnols - IRTA Monells, PIGCLASS, YOUNG TRAIN, PIGCAS TRUEFOOD)
Catalonia, Spain and coordinated several national projects. In MANAGEMENT 2004 she habilitated at the Faculty of Agricul- committee ■ PROFILE ture and Life Sciences (University of Maribor) and is a lecturer in field of carcass quality Maria Font-i–Furnols and meat processing. Current research topics is Chair of Working comprise: (i) entire male issues (boar taint, im- Group 2 (WG2). She munocastration, nutrition, product quality), (ii) is researcher at the salt reduction in dry cured hams, (iii) develop- Institute of Food Re- ments in carcassclassification, (iv) use of NIRS search and Tech-nolo- for meat qualityassessment. She has published gies (IRTA) in Monells, more than 60 peer-reviewed scientific papers, Catalonia, Spain. She numerous professional articles, conference belongs to the Product contributions and professional monographs. Quality Program. She has a MSc in Agricultural Engineering (1994) from the University of Lleida [email protected] and the PhD (2000) from the Polytechnics Uni- versity of Catalonia. She has worked mainly on boar taint, consumer studies, carcass classifi- WG2 - Overview cation, statistics and in the use of computed tomography to evaluate carcass and meat The main objective of WG2 is to review existing quality. She has participated in several EU and procedures and equipment for in vivo, post- National Projects and contracts with private en- mortem and on-line imaging and spec- terprises. She coordinated National projects in troscopic methods of predicting meat quality which computed tomography is used to deter- in livestock and suggest models to harmonise mine pigs’ body composition. She is the author those. of more than fifty-five peer reviewed papers, a high amount of professional papers and con- The detailed objectives are: ference contribution and six book chapters. • Meat quality parameters evaluated with non-invasive techniques: errors and main [email protected] traits; • Imaging and spectroscopic methods: which ones, main characteristics, Vice Chair of WG2 advantages and disadvantages of each Marjeta andek-Potokar - method; Č • Revision of the data analysis performed Agricultural Institute of Slovenia and study of the use of different statistical approaches; ■ PROFILE • To develop standardised procedures for the calibration sampling according to Marjeta (Meta) grad- meat quality traits and species; uated from the Bio- • To investigate possible harmonisation technical faculty of among laboratories and methods for University of Ljubljana each technology and meat quality as zootechnical en- parameter. gineer in 1988 and began in the same To achieve these objectives the following has year her career as been done: a researcher at the • Identify relevant meat quality parameters Agricultural Institute for pig, beef, sheep and poultry; of Slovenia where she is still working. In 1991 • Identify reference methods to determine she finished an MSc (food science; Université the identified meat quality parameters Blaise Pascal, Clermont-Ferrand, France) and and do a handbook of them, including in 1997 she got her PhD (food science) at the statistical aspects and review of new Biotechnical Faculty (University of Ljubljana). technologies. The main area of her research is the quality of • Value of each outcome for the interested animal products (carcass, meat) in connec- parties evaluated.
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 19 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG3 – Algorithms
Chair of WG3 2008, he started working in pig breeding for Norsvin. His main task is to develop and Bjarne Kjær Ersbøll - Technical run the use of Computed Tomography (CT) University of Denmark and ultrasound in the large-scale boar and gilt test system at Norsvin, in addition to other task ■ PROFILE related to data collecting / phonemics. He enjoys working at the intersection between Bjarne Kjær Ersbøll is biology, agriculture, engineering and com-
committee Chair of WG3. His work puters. Finding practical solutions based on MANAGEMENT is mainly on applied science to improve the production of food image analysis and from farm to fork. Improving animal and farm- statistics. He has con- er welfare based on engineering and clever siderable experience solutions. The main field of interests are meat in the application of science, computer programming, application these disciplines in in- development, image analysis, computed to- dustrial, medical and mography and genetics. remote sensing projects. His research and teaching is largely inspired by finding solu- [email protected] tions to actual problems in industry and other institutions - and often in collaboration with these. Bjarne Kjær Ersbøll is a Professor in WG3 – Overview statistical consultancy at Department of Ap- plied Mathematics and Computer Science at the Technical University of Denmark. In 1983 The main objective of Work Group 3 is he received the M.Sc.(Eng.) degree and in to develop algorithms for data capture, 1990 the Ph.D. degree, both from the Tech- processing, storage and interrogation as well nical University of Denmark (DTU). He has held as review available software. The practical his current position as Professor since 2010. He objectives are: teaches image analysis (general) and statis- tics (especially multivariate statistics). He has • To exchange ideas on data capture, data supervised a very large number of master’s safeguard and data transfer thesis projects and also Ph.D. thesis projects. • To improve the tissues segmentation and Furthermore, he has organised or co-organised its automation a large number of conferences on image • To develop algorithms for automation of analysis and statistics. image analysis • To develop prediction equations for [email protected] different tissues based on generated parameters from the image analysis and carcass dissection data Vice Chair of WG3 • To discuss ideas on formats for data storage Jørgen Kongsro - Norswin, Norway • To discuss methods of statistically analyzing the resulting predicted data ■ PROFILE for input into decision support tools for Jørgen Kongsro is Dep- advising farmers and processors on how uty Chair of WG3. He to produce the best quality product received his M. Sc. De- gree in Food Science The outcomes and deliverables will be: in 2002 from the Nor- • Algorithms, software, prediction wegian University of equations and recommendations for Life Sciences (NMBU), data management, image analysis and and received his Ph.D. statistical issues. degree in Food Sci- • Also, WG3 has held several successful ence / Bioinformat- training schools within its area. ics at the same university in 2008. Kong- sro worked as a project manager at Animalia The software used for image analysis in COST- (Norwegian Meat and Poultry Research FAIM can be found at: Center) from 2002 to 2008 while taking his Ph. D. degree at NMBU from 2004 to 2008. In https://sites.google.com/site/costfaimwg3
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 20 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG4 - Traceability
Chair of WG4 WG4 - Overview Marchen Hviid - Danish Meat • The main objective for WG4 is to review
and harmonise methods and equipment MANAGEMENT
Research Institute (DMRI), Denmark committee for individual animal traceability to ■ PROFILE optimise management, breeding and permit the future use of genomics. WG4 Marchen Hviid is will focus on traceability from farm to researcher at Dan- fork, with special attention to transfer the ish Meat Research data registered at the slaughterhouse Institute (DMRI), a divi- back to the breeder. sion in Danish Tech- nological Institute. The detailed objectives are: Marchen is Senior Project Manager and • to review and evaluate existing systems Scientist in Measuring and implementations of individual animal Systems and IT. She is traceability systems with special focus on MSc in Animal Science and has been working traceability in the abattoir with measuring of carcass and meat Quality • to evaluate the importance of biopsying in Beef and Pork, with requirement from con- and electronic ID-tags, including data sumer and the possibility to fulfil the require- acquisition and storage from farm ments by different measuring techniques. through abattoir for feedback to farmers to optimise management, breeding and Documentation of the quality and tracking the future use of genomics. in the supply train is a naturally part of the • Promote the use of individual animal data quality work and Marchen had also projects in the meat chain in that area. • Develop the structure of information flow and data format between farmers, [email protected] abattoirs and advisers
The tasks are the following: Vice Chair of WG4 • Identification and registration (I&R) at all Ole Alvseike - Animalia, Norway stages of an animal’s life, and in any part of the food production process regarding ■ PROFILE to:
Ole Alvseike is Head • farm management, of Division Quality & Processing at Animalia • animal recording, – the Norwegian Meat and Poultry Research • animal breeding, Centre, Oslo. He has a veterinary degree • health and disease surveillance. from the Norwegian School of Veterinary • Individual animal based feedback system Sciences. He has been is essential if information on carcass large animal practitioner and worked for the and MQ is to be combined with other National Food Authority locally and centrally. individual information After his Ph.D. in food safety, he worked for a year at the National Institute of Public Health, • The Challenges are the following: Oslo and has been at Animalia for 12 years. • Ownership of data? [email protected] • Harmonize between partners in the chain and between chains?
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 21 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Speaker Profiles & Abstracts
Paula Maas – University of Applied Sciences Weihenstephan-Triesdorf,
Germany
■ PROFILE thickness at five different points. Subsequently the fish were taken out of the water and the Paula graduated from Fish Fatmeter was used to determine the fat content of the whole body; Additionally the
WG1 SPEAKER SPEAKER the faculty of veteri- nary medicine of the weight and linear measurements were taken PROFILES & ABSTRACTS PROFILES & ABSTRACTS Ludwig Maximilians using a scale and a measuring tape. After University Munich in the in vivo measurements 10 fish per pond March 2014. were slaughtered and dissected. The back fat thickness was measured using a calliper Currently she is working before chemical analysis of one fillet of the on her PhD thesis on in carcass was performed. vivo phenotyping of carcass traits in mirror carps (Cyprinus carpio) using ultrasound, computed Using the statistic software RStudio (Boston, US), tomography, microwave technology and first results showed an R2 of 0.94 (p<0.001; n=61) linear measurements in order to determine for the measurements by using microwave the carcass quality. At the same time she is technology in live fish and chemical analysis; studying agricultural science at the Technical therefore for further calculations the microwave University Munich. technology will be used as the gold standard for the remaining 246 fishes. Furthermore preliminary results using single correlations ABSTRACT (WG 01T01) ■ showed an R2 of 0.52 between the back fat In vivo phenotyping of carcass traits in mirror layer thickness measured by ultrasound and carps (Cyprinus carpio) using ultrasound, the fat content determined by chemical microwave and linear measurements analysis. Using multiple linear regression models based on ultrasound and several different In Germany, the carp is the second most linear measurements, compared to chemical important culinary fish after the rainbow trout. analysis, an R2 of 0.76 was generated. In order to insure product quality and achieve high customer acceptance, strict requirements Co-authors: such as regarding the fat content of the fish B. Grzegrzółka2, P. Kreß1, M.Oberle3, (maximum of 10% of the fillet including the M. Gareis4, P.V. Kremer1 skin) have been set. This product specification requires a reliable method to predict the 1. University of Applied Sciences carcass composition in live fish. Previous Weihenstephan-Triesdorf, Faculty of studies have shown high correlations between Agriculture, Weidenbach, Germany; the fat content of the fish and its back fat 2. Warsaw University of Life Sciences – SGGW, layer, measured at the split carcass using a Faculty of Animal Science, Department of calliper. Therefore, during this study a total Genetics and Animal Breeding, Warsaw, number of 307 live mirror carps originating Poland; from 6 different ponds were measured using a 3. Bavarian State Institute of Fisheries, mobile ultrasound device (MicroMaxx, Fujifilm Höchstadt a. d. Aisch, Germany; SonoSite, Frankfurt a. Main, Germany) and a 4. Ludwig-Maximilians-University Fish Fatmeter (Distell, Fauldhouse, Scotland, Munich, Department of Food Safety, UK; microwave technology). Additionally Oberschleissheim, Germany their weight and several linear measurements (lengths, height and several circumferences) were taken. The ultrasound measurements were performed using a narrow water-filled bowl as fixation for the non-sedated fish. Within this set-up the water itself was used as transmission medium for the ultrasound waves. Two sagittal images per fish were taken, which were used to measure the back fat
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 22 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG1 SPEAKER PROFILES & ABSTRACTS 23
are are September 2014 Denmark 25th - 26th of and Traceability. om, 22nd - 23rd of September 2015. edinburgh, united kingd and Traceability.
y, Softw uality, Q n, Meat luatio nference on Body and Carcass Eva III: Third Annual Co FAIM
Notes Notes y, Softw Quality, n, Meat luatio Annual Conference on Body and Carcass Eva FOURTH IV: FAIM WG1 Speaker Profiles & Abstracts
Sotiria Vouraki – Aristotle University of Thessaloniki, Greece
■ PROFILE were further processed to estimate the rib-eye area (cm2) using the Java-based software Sotiria graduated from ImageJ. In trial 1, the increase of rib-eye area the School of Veteri- was proportional to changes in degree of
WG1 SPEAKER SPEAKER nary Medicine of the maturity. With the exception of carcasses at Aristotle University of 25% and 35%, in all the other degrees there PROFILES & ABSTRACTS PROFILES & ABSTRACTS Thessaloniki in 2014 were significant differences (P<0.05). The and she is currently a effect of sex was significant (P<0.05) for all PhD candidate at the breeds with male lambs having larger rib-eye School. She is involved areas than females. A significant interaction in two research proj- between degree and sex was observed only ects: i) “Development methodology using in Karagouniko lambs. In trial 2, the increase of best management practices for improving live weight at slaughter resulted in increased the functioning and efficiency of milking par- rib-eye area. There were significant differences lours” and ii) “Development and assessment (P<0.05) in carcasses at 23kg and 33kg for all of equipment and construction issues for the breeds. Level of nutrition did not have any sustainable sheep and goat production” that significant effect but breed was a dominant are funded by industry and the Greek General factor regarding differences in rib-eye area Secretariat for Research, respectively (P<0.05) in both trials.
■ ABSTRACT (WG01T02) Co -Authors: S. Vouraki1, A. Theodoridis2, J. Kongsro3, G.E. The effect of breed, sex and degree of maturity Valergakis1, P. Fortomaris1, G. Arsenos1 of lambs on the rib-eye area 1. Laboratory of Animal Husbandry, School of The objective was to assess the effect of breed, Veterinary Medicine, Aristotle University of degree of maturity, sex, live weight at slaughter Thessaloniki, 54124, Greece and post-weaning nutritional management 2. Laboratoty of Animal Production on the rib-eye area of lamb carcasses of Economics and Applied Statistics, School of three indigenous dairy Greek breeds of sheep: Veterinary Medicine, Aristotle University of Karagouniko (K), Boutsko (B) and Serres (S). Thessaloniki, 54124, Greece Lambs were used in two different experiments. 3. Department of Animal and Aquacultural In trial 1, lambs were offered ad libitum a Sciences, Norwegian University of Life pelleted concentrate feed and Lucerne Hay Sciences, 5003 N-1432 As, Norway (100g/head/day). Forty lambs of each breed (20 males and 20 females) were used. They were Reference: assigned to be slaughtered at five different Ferreira O.G.L., Rossi F.D., Coelho R.A.T., Fucilini degrees of maturity, 25%, 35%, 50%, 70% and V.F., Benedetti M., 2012. Measurement of rib- 100% (4 lambs of each sex in each degree of eye area by the method of digital images, R. maturity). In trial 2, 36 lambs (males) from each Bras. Zootec. Vol.41 breed were used. They were offered ad libitum Lucerne Hay and a pelleted concentrate feed at three different levels: high (H), medium (M) and low (L). Lambs were slaughtered at three different live weights, 23kg, 28kg and 33kg (4 lambs per level of nutrition and live weight at slaughter). The cold carcass of lambs was split half in following the vertebral column. The left side was cut between the 12th and 13th rib in order to measure the rib-eye area. Acetate paper was used to draw the rib-eye area. Thereafter the resulted imprint was scanned and stored as a jpeg image. Those images
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 24 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG1 SPEAKER PROFILES & ABSTRACTS 2525
are are September 2014 Denmark 25th - 26th of and Traceability. om, 22nd - 23rd of September 2015. edinburgh, united kingd and Traceability.
y, Softw uality, Q n, Meat luatio nference on Body and Carcass Eva III: Third Annual Co FAIM
Notes Notes y, Softw Quality, n, Meat luatio Annual Conference on Body and Carcass Eva FOURTH IV: FAIM WG1 Speaker Profiles & Abstracts
Sofia-Afrodite Termatzidou – Aristotle University of Thessaloniki,
Greece
■ PROFILE selected. BCS was performed by palpation of the dorsal lumbar region (5-point scale, Sofia-Afrodite is on her with 0.25 and 0.5 increments). The thickness of
WG1 SPEAKER SPEAKER 1st year of PhD stud- subcutaneous adipose tissue was measured ies at the Laboratory by ultrasound between transverse processes PROFILES & ABSTRACTS PROFILES & ABSTRACTS of Animal Husbandry. of 12th and 13th thoracic and 3rd and 4th She has a master in lumbar vertebrae, using Agroscan A16 with Farm Animal Husband- 7.5 MHz linear probe. Statistical analysis was ry and Medicine and performed using descriptive statistics and also works as a veteri- analysis of variance. Pearson’s correlation narian in a sheep and coefficient (r) was used to display the goats’ farmers association (Pieria, Greece). relationship between the measurements in the She attended the training school “Non de- above anatomical regions and the relationship structive on-line technologies to determine between ultrasound measurements and quality of meat and meat products: function- assessments of BCS. Across groups there ing principles and chemometrics”, organized was a significant difference (P<0.05) for by IRTA and financed by FAIM cost action. She both BCS and ultrasound measurements. is currently involved in two research projects: i) Lumbar and thoracic vertebrae ultrasound “Development methodology using best man- measurements ranged from 2.5 to 9.0 mm agement practices for improving the function- and 2.0 to 9.0 mm, respectively. Increments of ing and efficiency of milking parlours” and ii) BCS at 0.25 points did not always correspond “Development and assessment of equipment to distinct ultrasound measurements. The and construction issues for the sustainable correlation between measurements in the sheep and goat production” that are funded two anatomical regions was high (r = 0.974, by industry and the Greek General Secretariat P<0.05). Correlation coefficients between BCS for Research, respectively. and ultrasound measurements in thoracic and lumbar regions were 0.931 (P <0.05) and 0.916 Relevant presentation: (P <0.05), respectively. The high correlation Termatzidou S.A., Valergakis G.E., Patsikas between BCS and ultrasound measurements M., Bramis G, Arsenos G. “Relationship suggests that the development of a scale for between body condition score and ultrasonic BCS in dairy sheep would be facilitated by measurement of backfat thickness in dairy ultrasound technique. More data are needed Chios ewes”. BSAS, Chester, April 14th -15th for the refinement of the scale. Considering 2015 that this was a pilot study, the application of such methodology to a larger sample of ewe ■ ABSTRACT (WG01T03) or even at population level of certain breed will strengthen the results, providing a widely Relationship between body condition score accepted methodology. and ultrasound measurements of backfat thickness in dairy Chios ewes Co-authors: Valergakis G.E.1, Patsikas M.2, Bramis G.1, The objectives of this study were two-fold; Arsenos G.1 (1) to compare ultrasound measurements between two different anatomical regions 1. Laboratory of Animal Husbandry and (2) to investigate the relationship between 2. Clinic of Companion Animals estimations of BCS (Body Condition Score) and Both at the Faculty of Veterinary Medicine, ultrasound measurements of backfat thickness Aristotle University of Thessaloniki, 54124, in dairy ewes of Chios breed. Thirty six adult Greece were selected on the basis of their stage of production as follows: Group A: ewes at 3rd- Reference: 6th month of lactation, Group B: ewes at 7th- Ferreira O.G.L., Rossi F.D., Coelho R.A.T., Fucilini 8th month of lactation and Group C: dry ewes. V.F., Benedetti M., 2012. Measurement of rib- From each group, 12 ewes were randomly eye area by the method of digital images, R. Bras. Zootec. Vol.41
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 26 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG1 SPEAKER PROFILES & ABSTRACTS 2727
are are September 2014 Denmark 25th - 26th of and Traceability. om, 22nd - 23rd of September 2015. edinburgh, united kingd and Traceability.
y, Softw uality, Q n, Meat luatio nference on Body and Carcass Eva III: Third Annual Co FAIM
Notes Notes y, Softw Quality, n, Meat luatio Annual Conference on Body and Carcass Eva FOURTH IV: FAIM WG1 Speaker Profiles & Abstracts
Neil Clelland – Scotland’s Rural College (SRUC), Scotland, UK
■ PROFILE 2015). The next stage would be the inclusion of these estimates into current commercial multi- Neil is a final year PhD trait selection indices. To enable this, genetic student at SRUC. He parameters including heritabilities and genetic relationships with traits currently included in the WG1 SPEAKER SPEAKER gained an honours degree in agriculture indices are required. PROFILES & ABSTRACTS PROFILES & ABSTRACTS at SAC, completing a research project M&M: Data were available for 1971 entire investigating the ef- male lambs with CT scanning records from fect of butchery tech- 2002 to 2013, the progeny of 525 sires and 1576 niques on the tender- dams. Growth, CT and US measurements were ness of retail beef cuts from the forequarter. available across the dataset, including IMF This project identified cuts that would normally content as predicted by CT, firstly including CT be batch-processed with other lower value carcass fat measures (PIMF1) and independent cuts, to be as tender as higher value cuts from of CT carcass fat measures (PIMF2). Data were the hindquarter. He then worked as a research corrected for fixed effects and genetic analysis technician with SRUC and in Nov. 2011 started performed (REML) using ASReml3 (Gilmour et his PhD. Neil’s research interests lie in the de- al. 2003). velopment and investigation of in vivo predic- tors of meat quality in lamb and the inclusion R&C: Moderate heritabilities were estimated of potential predictors in sheep breeding pro- for growth traits, with moderate to high grammes in the UK. Other research interests in- heritabilities estimated for US and CT traits. clude the measurement of meat quality both Heritability estimates for PIMF1 and PIMF2 in vivo and post mortem and the develop- were moderate and similar (h2 = 0.36 and ments in improving meat quality through ani- 0.31 respectively). Strong genetic correlations mal breeding strategies and novel processing were seen between PIMF1 and CT and US fat techniques. In addition to research he is keen traits (rg = 0.83 and 0.64), whereas the same on knowledge transfer and engages with re- relationship was not seen in PIMF2 and CT and searchers and industry bodies regarding some US fat traits (rg=0.59 and 0.60). PIMF1 generally of the current issues in animal breeding and had a stronger genetic relationship with meat quality. growth, US and CT traits than PIMF2, however both traits were highly genetically correlated Recent publications using CT include: themselves (rg=0.89). This study is among the Clelland, N. et al. 2014. Prediction of first to present genetic parameters of novel intramuscular fat levels in Texel lamb loins CT derived IMF estimates and shows that using X-ray computed tomography scanning. accurate estimations of IMF are heritable and Meat Sci. 98:263-271. have the potential to be included into current selection methods. The parameters reported in ■ ABSTRACT (WG01T04) this study can now be used to develop future breeding programmes. Genetic parameters for growth, carcass composition and IMF in Texel sheep measured Co-authors: by CT and US L. Bunger, K.A. McLean, S. Knott, and N.R. Lambe O: The aim of this study was to estimate the genetic parameters of recently developed Animal Breeding and Genetics, AVS, novel CT traits, and the genetic relationship Scotland’s Rural College (SRUC), West Mains of these traits and current growth, US and CT Road, Edinburgh, EH9 3JG, UK; Institute of traits included in multi-trait selection indices. Evolutionary Biology, School of Biological B: It has been reported that CT scanning Sciences, University of Edinburgh, West Mains provides very good in vivo estimates of Road, Edinburgh, EH9 3JT, UK intramuscular fat (IMF) in the loin of Texel sheep (Clelland et al. 2014, Clelland PhD Thesis.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 28 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG1 SPEAKER PROFILES & ABSTRACTS 29
are are September 2014 Denmark 25th - 26th of and Traceability. om, 22nd - 23rd of September 2015. edinburgh, united kingd and Traceability.
y, Softw uality, Q n, Meat luatio nference on Body and Carcass Eva III: Third Annual Co FAIM
Notes y, Softw Quality, n, Meat luatio Annual Conference on Body and Carcass Eva FOURTH IV: FAIM WG1 Speaker Profiles & Abstracts
Nicola Lambe – Scotland’s Rural College (SRUC), Scotland, UK
■ PROFILE ■ ABSTRACT (WG01T05)
Nicola graduated Genetic control of CT-based spine traits in elite with a BSc(hons) in Texel rams Environmental Biology
WG1 SPEAKER SPEAKER from St. Andrews O: The aim was to determine the divergence University in 1994, in vertebrae number and spine length in PROFILES & ABSTRACTS PROFILES & ABSTRACTS followed by an MSc the thoracic and lumbar regions of elite in Animal Breeding commercial Texel sires and determine their (1999) and a PhD genetic control. (2005) from Edinburgh University. Nicola has been working for 19 B: Previous SRUC studies found variation in years at SRUC on sheep breeding research spine traits (vertebra number, spine length) projects and is part of the Growth Genetics in research flocks of Texel sheep, measured Section within the Animal and Veterinary using CT topograms (Donaldson et al., 2013), Sciences research group. Since 1997, she has and evidence of genetic control of these been closely involved with the work of the CT traits (h2 low to moderate; Donaldson et al., unit, undertaking a PhD based on CT scanning 2014). However, the structure of the data set of breeding hill ewes to assess seasonal tissue limited that initial genetic analysis. Application changes. The sheep genetic projects that of these findings in practical sheep breeding she has been involved in have mainly been requires that the traits of interest can be easily associated with breeding for improvements measured on rams during routine commercial in carcass and meat quality, alongside CT. However, the divergence of spine traits in traditional production and reproductive traits, elite rams, pre-selected for improved growth and have considered both hill and terminal and composition, requires investigation. Robust sire breeds. These projects have also involved genetic parameters are also required. evaluation of several techniques for measuring carcass and meat quality in live animals and M&M: CT and pedigree records from 2583 carcasses, including ultrasound, CT, video commercial Texel rams were collected over image analysis and several mechanical, 15 years. For the thoracic (Th) and lumbar chemical and sensory meat quality tests. She (Lum) spine regions, vertebrae number (VN) has supervised 4 PhD students in these subjects and spine lengths (SL) were measured from (2 currently). More recently she has been CT topograms. Data were corrected for fixed involved in similar projects with beef cattle effects and genetic analysis performed using and pigs, as well as projects concerned with ASReml v3 (Gilmour et al., 2009). understanding and selecting for new traits in sheep, such as greenhouse gas emissions and R&C: Variation was observed in SL (CV 6-8%) disease resistance. Nicola has published 49 and VN: VNLum was 6 (64%) or 7 (36%); VNTh peer-reviewed papers, 3 book chapters and was 12 (4%), 13 (95%) or 14 (<1%); giving >50 conference proceedings. VNTh+Lum of 18 (2%), 19 (64%) or 20 (34%). Heritabilities for VN were low (0.05-0.11; s.e. Recent examples: 0.05) and for SL moderate (0.21-0.43; s.e. 0.06). Correlations with carcass composition Lambe NR, Wall E, Ludemann CI, Bunger L, and muscularity traits were low (-0.18 to 0.01), Conington J. 2014. Genetic improvement suggesting potential to select for spine traits of hill sheep: impacts on profitability & without affecting current breeding goals. greenhouse gas emissions. Small Ruminant Res 120:27-34. Co-authors: C.L.Donaldson, K.A.McLean, J.Gordon, Donaldson CL, Lambe NR, Maltin CA, Knott A.Menezes, N.Clelland and L.Bunger S, Bunger L. 2014. Effect of the Texel muscling QTL (TM-QTL) on spine characteristics in AVS, Scotland’s Rural College (SRUC), West purebred Texel lambs. Small Ruminant Res Mains Road, Edinburgh, EH9 3JG, UK 117:34-40.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 30 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG1 SPEAKER PROFILES & ABSTRACTS 31
are are September 2014 Denmark 25th - 26th of and Traceability. om, 22nd - 23rd of September 2015. edinburgh, united kingd and Traceability.
y, Softw uality, Q n, Meat luatio nference on Body and Carcass Eva III: Third Annual Co FAIM
Notes y, Softw Quality, n, Meat luatio Annual Conference on Body and Carcass Eva FOURTH IV: FAIM WG1 Speaker Profiles & Abstracts
Lutz Bunger – Scotland’s Rural ■ ABSTRACT (WG01T06) College, UK Selecting terminal sire breed rams for LMP-
effects on their crossbred lambs ■ PROFILE See also earlier Profile. O: The aim was to evaluate the effects of My work has been using Texel rams, diverging in their CT based recognised in a num- measurement of lean meat percentage (LMP, here muscle weight over liveweight), on WG1 SPEAKER SPEAKER ber of ways: Reader- ship, Pro-fessorship, carcass quality of their crossbred lambs. PROFILES & ABSTRACTS PROFILES & ABSTRACTS invited lectures at uni-versities in various B: Earlier studies at SRUC have shown that video countries, member of image analysis allows accurate prediction international advisory of the amount of saleable meat from lamb boards, member of carcasses at line speeds of ~800 lambs/h the organising committee for the 4th ICQG, (Rius-Vilarrasa et al. 2009). The increasing 2012 in Edinburgh and organising and chair- use of electronic ID by farmers, and tracking ing a full day Symposium at the EAAP (Nant- facilities in the abattoirs, will allow feedback of es, 2013), with up to 300 participants. Impact individual carcass information to farmers and findings from our model species (mice) work: its use for animal breeding. A promising trait to (i) Development of a stan-dardised test to be used in future sheep breeding programs is quantify stress resistance and demonstration a simple ratio between lean meat weight and that simultaneous selection against a strong live weight (LMP), which addresses carcass negative correlation is fea-sible. (ii) A power- quality and waste reduction. This trait can also ful experiment (> 2500 M-D pairs) tested if lit- be easily measured on rams during routine ter size (LS) can be increased via selection for commercial CT and has, in sheep, a promising ovulation rate (OR). Although OR increased, h2~ 0.34 (Donaldson et al. 2014). there was no correlated effect in LS, because of higher embryonic mortality; (iii) Mapping M&M: From > 200 Texel rams commercially work led to several QTL with subsequent fine CT scanned in 2013, 12 rams (available for mapping revealing several genes in the QTL purchase, diverging in LMP from ~27-37%) region. (iv) MAI showed selection for fat and were chosen and mated to Mule ewes. 201 growth produced polygenic models with little crossbred lambs were CT scanned at 137d (SD contribution of expected candidate genes; 3.5) and at 167d (SD 3.3) were slaughtered in (v) Myostatin deficiency results in excessive an abattoir with eTraceability and standard muscle growth, but impaired force generation carcass grading. Regression and mixed and substantial epistasis has been found. Im- model analysis (SAS 9.3) was used to quantify pact findings of our research (mainly sheep) relationships between father and lamb traits. at SRUC: (i)Validation trials for ovine QTLs and available genetic tests (muscling QTL and R&C: Regression coefficient between father footrot) evaluated the magnitude of direct LMP and progeny LMP was 0.11 (sb = 0.027; P and indirect effects; (ii) We trialled ovine vid- 0.0001)) indicating an increase of LMPsire by eo-image-analysis to quantify carcass value 10% leads to 1.1% increase in LMPprogeny. for UK lambs and demonstrated its superiority Lambs sired by high LMP rams had an over existing standards, finding moderate to increased (P=0.031) killing out % (1.7% per high heritabilities; (iii) We identified/ optimised 10% LMPsire increase). How current payment a unique in vivo CT-based predictor for meat systems reward this will be discussed. quality, allowing simultaneous selection for taste and against waste; (iv) The genetic basis Co-authors: of spine characteristics in sheep is being inves- A. M. Menezes*, K.A. McLean*, J. Gordon*; tigated, yielding moderate to high h2-values, J. Yates**, K. Moore* and N. R. Lambe* allowing potential selection for more, or larger, chops. * AVS, SRUC, West Mains Road, Edinburgh, EH9 3JG, UK; ** Texel Sheep Society, Nat. Agric. Centre, Stoneleigh Park, Kenilworth, Warwick- shire
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 32 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG1 SPEAKER PROFILES & ABSTRACTS 33
are are September 2014 Denmark 25th - 26th of and Traceability. om, 22nd - 23rd of September 2015. edinburgh, united kingd and Traceability.
y, Softw uality, Q n, Meat luatio nference on Body and Carcass Eva III: Third Annual Co FAIM
Notes y, Softw Quality, n, Meat luatio Annual Conference on Body and Carcass Eva FOURTH IV: FAIM WG1 Speaker Profiles & Abstracts
Maria Font-i-Furnols – IRTA Monells, Catalonia, Spain
■ PROFILE ■ ABSTRACT (WG01T07) Tissue volumes of live pigs from computed Maria Font-i-Furnols tomography images with and without viscera is researcher at the Institute of Food Re- WG1 SPEAKER SPEAKER Computed tomography images from live pigs search and Tech- includes viscera that does not belong to the PROFILES & ABSTRACTS PROFILES & ABSTRACTS nologies (IRTA) in carcass. Removing viscera from the images is Monells, Catalonia, time consuming work, which can be done semi- Spain. She belongs to automatically. The objective of the present the Product Quality work is to find the relationship between the Program. She has a volume distribution of Hounsfield (HU) values in MSc in Agricultural Engineering (1994) from the images from live growing pigs with and without University of Lleida and the PhD (2000) from viscera. For this purpose 8 castrated pigs and the Polytechnics University of Catalonia. She 8 gilts were scanned, two of each sex at 30, has worked mainly on boar taint, consumer 70, 100 and 120 kg. Scanning was performed studies, carcass classification and in the use with computed tomography (CT) HiSpeed Zx/I of computed tomography to evaluate car- using the following acquisition parameters: 140 cass and meat quality. She has participated kV, 145 mA, 7 mm-thick (30 kg) and 10 mm-thick in several EU projects (Eupigclass, Quality Pork (70 to 120 kg). From the images of the whole Genes, Boar taint AIR project, Alcasde, Pigcas, pig the tissue volumes with HU values between Pigscan, among others) and National Projects. -149 and -1 (fat), between 0 and +140 (lean), Nowadays she coordinates a national project between -149 and 140 (fat-lean) and between entitled “Influence of feeding restriction and -149 and +441 (fat, lean and mineral fraction ) dietary P levels on body tissue composition were calculated. Viscera were then removed evaluated in vivo by computed tomography, using the ATAR software and the same volumes bone mineralization and sensory properties of were re-calculated. Tissue volumes with and meat from gilts”. She is the author of more than without viscera were compared. In each fifty-five peer reviewed papers, a high amount weight group the tissue volumes from images of professional papers and six book chapters. without viscera were on average between 78.7 and 85.5% of the volumes from images Some papers published in the topic of with viscera. The coefficient of determination computed tomography are: (R2) of the relationship between tissue volumes with and without viscera varied from 0.995 Font-i-Furnols, M., Brun, A., Tous, N., Gispert, M. to 0.999. Without viscera tissue volumes can (2013). Use of linear regression and partial least be obtained by multiplying the with viscera square regression to predict intramuscular fat volumes by a factor varying between 0.83 and of pig loin computed tomography images. 0.86. Therefore the carcass composition can Chemometrics and Intelligent Laboratory be calculated, from the with viscera volumes, Systems, 122, 58-64. using a prediction equation which considers these differences and in this case the viscera Carabús, A., Sainz, R.D., Oltjen, J.W., Gispert, will not influence the predicted results. This M., Font-i-Furnols, M. Predicting fat, lean and should be comparable to volumes calculated the weights of primal cuts for growing pigs of from images where viscera were segmented different genotypes and sexes using computed out. tomography. Journal of Animal Science, 93, 1388-1397. Co- authors: Anna Carabús1, Kirsty McLean2, Lutz Bünger2, Font-i-Furnols, M., Brun, A., Martí, S., Realini, CE., Marina Gispert1 Pérez-Juan, M., Gonzalez, J., Devant, M. 2014. Composition and intramuscular fat estimation 1. IRTA-Product Quality, Finca Camps I Armet, of Holstein bull and steer rib sections by using 17121 Monells, Catalonia, Spain, one or more computed tomography cross- 2. AVS, Scotland’s Rural College, Roslin Institute sectional images. Livestock Science 170, 210- Building, Easter Bush, Midlothian EH25 9RG, 218. UK
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 34 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG1 SPEAKER PROFILES & ABSTRACTS 35
are are September 2014 Denmark 25th - 26th of and Traceability. om, 22nd - 23rd of September 2015. edinburgh, united kingd and Traceability.
y, Softw uality, Q n, Meat luatio nference on Body and Carcass Eva III: Third Annual Co FAIM
Notes y, Softw Quality, n, Meat luatio Annual Conference on Body and Carcass Eva FOURTH IV: FAIM WG1 Speaker Profiles & Abstracts
Michael Judas – Max Rubner- Institute, Department of Safety
and Quality of Meat, Kulmbach, Germany
■ PROFILE range of CT protocols was devised with varying kV, mA, slice thickness, and reconstruction
WG1 SPEAKER SPEAKER Michael Judas studied algorithm. The entire torso was scanned and Biology with emphasis the overall distribution of volume by Hounsfield PROFILES & ABSTRACTS PROFILES & ABSTRACTS on soil ecology and value determined. multi-varied statistics, and received a PhD in The presentation will illustrate the high variation Biology in 1989 at the both between protocols within scanner, Institute of Zoology and between scanners within protocol. A at the University of quantification of differences is outlined. Göttingen, Germany. In particular, a recently proposed volume He worked as a lecturer in Zoology at the regression approach (Daumas et al. 2014) University of Göttingen from 1991–1997 and is used to quantify the effect of varying CT received a habilitation for Zoology in 2003. protocols.
Since 2004, he has been a senior research The results suggest some robustness of scientist at the Max Rubner-Institute, protocols, but scanners need a thorough Department of Safety and Quality of Meat quantification of their differences. in Kulmbach, Germany. His focus is on biostatistics, CT operation and analysis, and Relevant publication: he is designated as the national expert for pig Daumas G, Donko T, Monziols M, Kongsro J, carcass classification in Germany. Čandek-Potokar M, Allen P, Scholz A, Bünger L (2014) A pragmatic short-term approach ■ ABSTRACT (WG01T08) to establish a Computed Tomography (CT) based reference method for the Hounsfield distributions from different CT measurement of lean meat percentage protocols (LMP) in pig carcasses. In: C. Maltin, C. Craigie and L. Bünger (Eds), Farm Animal The possibilities and limitations of quantitative Imaging Copenhagen 2014, pp52-57. analysis of CT images for carcass tissue Edinburgh, West Mains Road, Edinburgh, EH9 composition are currently under debate 3JT, UK. in the EU. Since different CT models and various analytic protocols are applied, an objective measure is required that allows to quantify differences between the separate approaches.
An ideal object for comparative studies is an artificial phantom that mimics densities and anatomic properties of the true study objects, namely pig carcasses. A close model was found with the 3D Torso phantom Model 602, produced by CIRS, Norfolk VA, USA. This phantom was newly acquired by the AVS at Easter Bush, Midlothian, UK, and kindly provided by Prof. Lutz Bünger and colleagues for a quantitative comparison of CT protocols. The MRI at Kulmbach recently switched from an outdated Siemens Somatom Plus 4 to a Siemens Scope. Since it was not self-evident to what extent parameter settings would allow comparable results between the two CTs, a
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 36 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG1 SPEAKER PROFILES & ABSTRACTS 37
are are September 2014 Denmark 25th - 26th of and Traceability. om, 22nd - 23rd of September 2015. edinburgh, united kingd and Traceability.
y, Softw uality, Q n, Meat luatio nference on Body and Carcass Eva III: Third Annual Co FAIM
Notes y, Softw Quality, n, Meat luatio Annual Conference on Body and Carcass Eva FOURTH IV: FAIM WG1 Speaker Profiles & Abstracts
Mathieu Monziols – Institute for Pig & Pork Industry (IFIP), France
■ PROFILE use of phantoms have been proposed in order to evaluate the differences between CTs. In Mathieu is originally this work, a very simple protocol was sent to an agricultural engi- a panel of European CT owners in order to neer specialized in evaluate the accuracy of both density and WG1 SPEAKER SPEAKER biochemistry and ani- volume measurements. The protocol consisted PROFILES & ABSTRACTS PROFILES & ABSTRACTS mal science. In 2005 of two different parts. he obtained a PhD in biology and agricul- Firstly, the accuracy of density measurement tural sciences of the was evaluated by using different agricultural sciences concentrations of KH2PO4 in water in order to school of Rennes. His PhD work was about the mimic density differences. Dilution range was quantification and analysis of the intermus- between 20 and 200 mg/cm3. These samples cular fat of pigs by MRI. He then continued were scanned by the different CT owners and his education in medical imaging by a post- relationships between mean HU values and doctoral position on image analysis of human KH2PO4 densities were established for each brain MRI images. machine.
Since 2007, Mathieu has been in charge of all Secondly, the accuracy of the volume the Computer Tomography (CT) applications measurement was evaluated by using different at IFIP, French pig institute near Rennes. His plastic bottles of water from 0.5 to 20l. Each works are about CT acquisition and images bottle was scanned and the water volume analysis for all the institute CT applications. was calculated by simple threshold. Reference Main applications are body composition in water volume was confirmed by weighting vivo, lean meat percentage of carcasses, the full and empty bottles considering a 1kg/l bone density, diseases diagnosis and salting water density. Comparisons between CT process. measurements and reference volumes were established. Main publications: A panel of European CT owners performed Monziols M., Collewet G., Bonneau M., Mariette the protocol and differences on this simple F., Davenel A., Kouba M, 2006. Quantification measurement protocol were analysed of muscle, subcutaneous fat and intermuscular between CTs in Europe. fat in pig carcasses and cuts by magnetic resonance imaging. Meat Science, 72, 146- Co- authors: 152. Gerard Daumas1, Tamas Donko2, Michael Daumas G., Monziols M., 2011. An accurate Judas3, Maria Font i Furnols4, Eli Vibeke Olsen5, and simple computed tomography approach Severiano Silva6 and Lutz Bunger7 for measuring the lean meat percentage of pig cuts. Proceedings of the 57th ICoMST, 7-12 1. Ifip-Institut du porc, Le Rheu, France August 2011, Ghent, Belgium. 2. Kaposvar University, Kaposvar, Hungary 3. Max Rubner-Institute, Kulmbach, Germany ■ ABSTRACT (WG01T09) 4. IRTA, Monells, Spain 5. DMRI, Taastrup, Denmark Evaluation of performances on density and 6. CECAV, UTAD, Vila Real, Portugal volume measurement accuracies of different 7. SRUC, Edinburgh, United Kingdom, AVS, European CT scanners Scotland’s Rural College, Roslin Institute Building, Easter Bush, Midlothian One of the main subjects of the FAIM EH25 9RG, UK COST meetings discussions concerns differences between CT scanners. Indeed, supposed differences in CT density and volume measurements are a major issue for harmonising body composition measurement methods. Different approaches such as the
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 38 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG1 SPEAKER PROFILES & ABSTRACTS 39
are are September 2014 Denmark 25th - 26th of and Traceability. om, 22nd - 23rd of September 2015. edinburgh, united kingd and Traceability.
y, Softw uality, Q n, Meat luatio nference on Body and Carcass Eva III: Third Annual Co FAIM
Notes y, Softw Quality, n, Meat luatio Annual Conference on Body and Carcass Eva FOURTH IV: FAIM WG1 Speaker Profiles & Abstracts
Örs Petneházy – Kaposvár University, Hungary
■ PROFILE ■ ABSTRACT (WG01T10)
Örs Petneházy has From cross section to 3D anatomy. (Problems been working for 7 and solutions) years at the Veteri-
WG1 SPEAKER SPEAKER nary University of Bu- For body composition analysis, veterinary dapest between 1999 diagnostic work and for many research PROFILES & ABSTRACTS PROFILES & ABSTRACTS and 2005 as a teacher applications one should know the exact of veterinary anatomy anatomy of the desired animal. 3D surgical and topographical planning and virtual anatomy teaching both anatomy. He served require detailed 3D models of different body as a research veteri- regions. There are detailed cross sectional narian for 10 years at atlases, books with colour images of the the Kaposvár Univer- desired area without the possibility for later sity Institute of Diagnostic Imaging and Radia- reconstruction of complex structures or body tion Therapy between 2005 and 2014. Between parts. With the use of cryomilling we are able 2014 and 2015 he worked as an assistant pro- to make very thin slices (50 microns) of the fessor for veterinary anatomy and diagnostic body with the original colour of the anatomical imaging at the University of Alaska Fairbanks. structures. From CT and MR data there is no Very active in cross sectional anatomy of possibility to reconstruct the original colour of the domestic animals (pig, dog, cat, turkey, the organs, muscles or bones and therefore a horse). His research area is the cross sectional precise 3D visualisation will miss the chance anatomy and 3D reconstruction-3D printing of of a high precision. With the combination of anatomical structures of the domestic animals the cryomilling, CT and MR scanning we can based on RGB, MR and CT images. fuse the images to one and make the best available reconstruction using the advantages Relevant publications: of each separate modality. The reconstructed Kertesz A M, Petneházy O, Lasso A, structures can be visualised in real colour in Garamvolgyi R, Donko T, Biro H, Bajzik G, a very accurate 3D model. This model can Sotonyi P: Application of imaging techniques be visualized, 3D printed and used for both, for visualization of mammary gland in research and teaching. lactating and pregnant sow. In: 7th European Symposium of Porcine Health Management: Co- authors: esphm: proceedings. 288 p. Conference: Nantes, France, 2015.04.22-2015.04.24. Paper O. Petnehazy1, T. Donko1. R. Garamvolgyi1, P048. 1 p. I. Takacs1, K. Czeibert2, I. Repa1
Petneházy Örs, Benczik Judit, Takács István, 1. Kaposvár University, Kaposvár, Hungary Petrási Zsolt, Sütő Zoltán, Horn Péter, Repa 2. Szent Istvan University, Hungary Imre: Computed Tomographical (CT) anatomy of the thoracoabdominal cavity of the male turkey (Meleagris gallopavo). Anatomia Histologia Embryologia 41:(1) pp. 12-20. (2012)
Petneházy Örs, Tóth Levente, Áipli Bernadett, Vinczen Eszter, Repa Imre: Computed tomographical examination of the cardiovascular system of the turkey (Meleagris gallopavo). Bulgarian Journal Of Veterinary Medicine 15:(Suppl. 1.) pp. 40- 41. (2012) 29th Congress of the European Association of Veterinary Anatomists. Stara Zagora, Bulgária: 2012.07.25 -2012.07.28.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 40 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG1 SPEAKER PROFILES & ABSTRACTS 41
are are September 2014 Denmark 25th - 26th of and Traceability. om, 22nd - 23rd of September 2015. edinburgh, united kingd and Traceability.
y, Softw uality, Q n, Meat luatio nference on Body and Carcass Eva III: Third Annual Co FAIM
Notes y, Softw Quality, n, Meat luatio Annual Conference on Body and Carcass Eva FOURTH IV: FAIM WG1 Speaker Profiles & Abstracts
Eli Vibeke Olsen – Danish Meat Research Institute, Denmark
■ PROFILE ■ ABSTRACT (WG01T12)
Measuring methods Looking into the future aimed at pig carcass composition have be- Since the idea of using CT as a reference WG1 SPEAKER SPEAKER come the main topic method was explored in the European project PROFILES & ABSTRACTS PROFILES & ABSTRACTS for Eli Vibeke Olsen’s eupigclass in the beginning of the century, ten professional life. Her member states have acquired CT scanners scientific background aimed at research in farmed animal sciences. is a master degree in The use of CT as a (secondary) reference theoretical statistics method for calibration of online grading from Copenhagen University in 1980 followed equipment is one of the applications. Using by an industrial PhD dealing with optical meth- commercial CT scanners, developed for ods to measure meat quality online at the human medical purposes, inevitably includes slaughterhouse. some metrological problems. The different commercial CT scanners are characterized The technique was subsequently implemented by different solutions for data generation and in both manual and automatic online image reconstruction. A general measuring instruments measuring the lean meat protocol does not exist to produce exactly the content. The experiences from practical same 3D model on all CT scanners. implementation of the instruments in the industry highlighted that the metrological We want to be able to use CT measurements as aspects of the methods are very important. Eli a primary reference method. The advantages became part of the expert group, who gives are obvious: The measurements are fast and advice to the EU Commission concerning the repeatability is good. The challenge is to harmonization of classification methods. She define a method, where results from different became coordinator of an EU project where CT scanners can be used as primary reference, one outcome was the use of CT as reference i.e. a method characterized by high precision method to calibrate online classification and negligible deviation from results obtained methods in the pig slaughter industry. with other scanners.
Relevant publications: An obvious solution would be to construct reference objects (phantoms), which mimic Olsen, Eli V., L. B. Christensen, M.F. Hansen, the pig carcasses. In contrast to the purposes M. Judas, R. Höreth (2007). Challenges for most medical applications, determination developing an instrumental reference for of the tissue densities is in principle less classification of pigs. ICoMST conference important than the measurement of volumes. paper. The goal is to obtain a number of volume and the attenuation calibration phantoms, which Olsen, Eli V., Niels C. Kjaersgaard and can form an instrumental reference platform Marchen Hviid. Virtual products can be used for the CT scanners available. The reference for optimizing slaughterhouse planning (2012). objects will be circulated between partners in Fleischwirtschaft International 6. Volume 27, a Round Robin procedure. 16-26. Once this problem is solved more detailed Olsen, Eli V., L. B. Christensen, Comparison of reference measures can be defined and accuracy of reference methods based on CT possibly be used to improve the European and manual dissection. Conference Paper populations of farmed animals. FAIM II (2013). Co-authors: Holger Dirac & Lars Bager Christensen, Danish Meat Research Institute, Denmark
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 42 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. WG1 SPEAKER PROFILES & ABSTRACTS 43
are are September 2014 Denmark 25th - 26th of and Traceability. om, 22nd - 23rd of September 2015. edinburgh, united kingd and Traceability.
y, Softw uality, Q n, Meat luatio nference on Body and Carcass Eva III: Third Annual Co FAIM
Notes y, Softw Quality, n, Meat luatio Annual Conference on Body and Carcass Eva FOURTH IV: FAIM WG1 Poster Presenter Profiles & Abstracts
Ana Catharina Batista - CECAV,
UTAD, Portugal
■ PROFILE and LM4) depths were obtained. It was also taken RTU depth fat measurement at sternum Ana Catharina Batista (SFS). To establish the relative growth the was born In Maceió, Huxley allometric equation in its logarithmic WG1 SPEAKER Alagoas, Brazil and form was allometric coefficient (b) of the RTU went to the Univer- measurement (Y) relative to the LW (X). The PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 POSTER PRESENTER sidade Federal de allometric coefficient (b) obtained for SF13 Alagoas (UFAL). At and SF4 was higher (P < 0.05) than 1 (b=1.89 UFAL she obtained his and b=1.63, respectively) whereas the SFS degree in Zootecnia, show a b = 0.83 < 1 (P<0.05). The SFS is an early- in 2011. Currently she maturing fat trait. The LM values decreased is PhD student of the with increasing LW of ewes (b= 0.61 and 0.70, Animal Science Department at Universidade P<0.05, for LM13 and LM4, respectively. These de Trás-os-Montes e Alto Douro (UTAD) and results are consistent with the literature and member of the Animal and Veterinary Re- indicate that the SF at thoracic and lumbar search Center (CECAV-UTAD). The main fields anatomical regions which exhibits a late of research interests are sheep and goats development can be more sensitive to body meat production and techniques to predict fat changes. The ability of RTU to measure long carcass and body animal composition. term changes in ewe body composition makes this technique a useful tool to model the relative ■ ABSTRACT (WG01P01) growth of body composition components. Further studies with larger number of ewes are Use of real time ultrasonography and image required to specify the fat growth patterns in analysis to study relative growth of subcutane- different production systems. ous fat and muscle depths of ewes Co-authors: In sheep extensive systems with large variation A.C.S. Batista1, A.M. Jorge2, C.M. Guedes1, J. in feed supply along the year is important to Azevedo1, V.C. Santos1, A. Teixeira2 S.R. Silva1 understand whether the changes in body condition are related with body weight 1. CECAV, UTAD, Vila Real, Portugal; 2FMVZ/ changes, or if there is a direct effect on fat UNESP, Botucatu, Brazil; and lean tissues. An in vivo technique such as 2. CECAV, ESA-IPB, Bragança, Portugal real time ultrasonography (RTU) will be helpful to comprehend those relationships. Therefore the objective of this work is to study the relative growth of RTU fat and muscle depths described by the Huxley allometric model in which the RTU measurements are regressed against live weight. Nineteen Churra a Terra Quente ewes (live weight – LW- ranged 37 to 58 kg) were followed during 44 weeks and 226 records of LW and RTU measurements were obtained. Animals were scanned with a RTU machine (Aloka SSD500V) using a 7.5 MHz probe. RTU images were captured at the 13th thoracic and at the 4th lumbar vertebrae. The RTU images were analysed with ImageJ software and subcutaneous fat (SF13 and SF4) and the Longissimus dorsi muscle (LM13
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 44 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 45 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Poster Presenter Profiles & Abstracts
Alfredo Teixeira - CECAV, ESA-IPB,
Portugal
■ PROFILE ■ ABSTRACT (WG01P02) Linear modelling to predict simultaneously Alfredo Teixeira was sheep and goat carcass parameters using in born in 1959, Vila Real- vivo ultrasound data and body weight. Portugal. Degree in
WG1 SPEAKER Animal Science at This work involves the study of single (UTAD) University of PROFILES & ABSTRACTS PROFILES & ABSTRACTS predictive models to assess body and WG1 POSTER PRESENTER Trás-os-Montes and carcass components (muscle, fat and bone) Alto Douro. MSc in of different goat and sheep breeds using Animal Science at in vivo animal measurements: body weight IAMZ (Zaragoza- and ultrasonic measurements of fat thickness Spain). Doctor in Animal Science by UTAD in (lumbar subcutaneous fat depth and sternum 1991. He has been working as full professor in fat depth). In this study, it was used a database ESA-IPB for 30 years. Since 1984 he has been of 125 animals of three sheep and two goat working in sheep and goat carcass evaluation breeds, respectively: 19 Rasa Aragonesa, and meat quality. He also has been working 22 Roya and 8 Ojinegra de Teruel Ternasco in methodologies to assess in vivo body lambs and 20 Serrana goats and 56 Blanca and carcass composition using the Real Celtiberica goats. Time Ultrasound (RTU) technology as well as image analysis techniques and recently Near As an example, it is shown the ability of a single Infrared Spectroscopy technology (NIRs). He multiple linear regression model established to coordinated several research projects in the predict the muscle mass of the animals under areas of sheep and goat production and study. The linear model was obtained by meat science. He is the editor and referee for applying a k-folds cross-validation procedure several international journals and publications and the best model obtained was evaluated in the area of animal science and meat in its prediction performance using a samples’ science. He has authored and co-authored test group (40% of original data). The model several scientific articles and book chapters. obtained showed good predictability since, the linear relationships obtained between Relevant publications: the muscle mass experimental values and Teixeira, A., Matos, S., Rodrigues, S., Delfa, R. the established by the model for the different and Cadavez, V., 2006. In vivo estimation breeds and species of goats and sheep of lamb carcass composition by real-time presented slopes and intercept which may ultrasonography. Meat Science, 74: 289-295. be considered the theoretical (one and zero respectively) and adjusted coefficient of Teixeira A., 2008. Basic Composition: Rapid determination greater than 0.97. Methodologies. In Handbook of Muscle Foods Analysis. Ed. Leo Nollet and Fidel Toldrá. CRC This work allows us to infer that it is possible to Press Taylor&Francis Group. 291-314.ISBN 978-1- obtain a linear model to predict simultaneously 4200-4529-1. body and carcass components of different breeds and species of animals. Teixeira, A., Joy, M. and Delfa, R., 2008. In vivo estimation of goat carcass composition and Co-authors: body fat partition by real-time ultrasonography. A. Teixeira1,2, L. G. Dias1,3, S. Silva2, A. J. Anim. Sci. 86:2369-2376. Gonçalves1 Rodrigues, S. and Teixeira, A., 2009. Effect of 1. ESA, Instituto Politécnico de Bragança, sex and carcass weight on sensory quality of Portugal goat meat of Cabrito Transmontana. J. Anim. 2. CECAV, Universidade de Trás-os-Montes e Sci. 87:711-715. Alto Douro, Portugal 3. CQ-VR, Universidade de Trás-os-Montes e Ripoll, G., Joy, M., Álvarez-Rodrigues, J., Sanz, Alto Douro, Portugal A. and Teixeira, A., 2009. Estimation of light lamb carcass composition by in vivo real-time ultrasonography at four anatomical locations. J. Anim. Sci. 87:1455-1463.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 46 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 47 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Poster Presenter Profiles & Abstracts
Severiano Rocha e Silva –
CECAV, UTAD, Portugal
■ PROFILE composition of kids. In this work 19 carcasses of kids of Serrana breed with a live weight 13.4 ± Severiano Rocha 5.2 kg were used. After 24 hours cooling at 4°C e Silva was born carcasses were split down by the dorsal middle in Baltar, Oporto, line with a band saw and the left side was fully
WG1 SPEAKER Portugal and went dissected into muscle (M), subcutaneous fat to the Universidade (SF), intermuscular fat (IF), dissected fat (DF) PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 POSTER PRESENTER de Trás-os-Montes e (subcutaneous fat plus intermuscular fat) and Alto Douro (UTAD). bone (B). The right carcasses halves were At UTAD he obtained CT fully-scanned at the University Veterinary his degree in Animal Hospital - UTAD using a GE Brivo CT scanner Science, in 1987. After in the spiral mode with a slice thickness of 5 doing his military service in 1989 he became mm. The data were reconstructed by the Assistant at UTAD and in 2001 obtained his equipment software using [512 X 512] image PhD degree in Animal Science. Currently he matrix tomograms. The scanner settings for is Associate Professor of the Animal Science electrical current and voltage were Auto Department at UTAD and member of the mA and 120 kV, respectively. The frequency Animal and Veterinary Research Centre distributions of pixel HU values (histogram) (CECAV-UTAD). The main fields of research were used for tissue segmentation and volume interests are animal welfare and techniques to calculation. The muscle tissue was segmented predict carcass and animal body composition. using a -22 to 146 HU range, the fat tissue was He has authored and co-authored several segmented using a -194 to -23 HU range and scientific articles and book chapters. for bone was considered HU value between 146 and 1000. Relevant publications: Regression analysis was established between Quaresma, M., Payan, R., Silva, S.R. 2013. CT carcass tissue and dissected tissues. A Relationships between body fat reserves similar variation was found for CT and dissected ultrasound measurements and body components (CV between 36 and 48%). The condition score in jennets. The Veterinary coefficients of determinations (R2) between CT Journal, 197, 329-334. and dissected components range from 0.648 to 0.951 (P<0.001). The lower R2 was observed Silva, S.R., Cadavez, V.P., 2012. Real-time for fat which is very scarce in this specie ultrasound (RTU) imaging methods for and especially in light carcasses. This results quality control of meats. In Computer vision encouraging the use of CT as an alternative technology in the food and beverage to dissection and further work is needed with industries. Editor Da-Wen Sun. Woodhead a larger sample and using more advanced Publishing, Cambridge, UK. 277-329. image analysis to improve fat prediction.
■ ABSTRACT (WG01P03) Co-authors: S. R. Silva1, A. Teixeira2, A. Monteiro3, C. M. Using computer tomography to predict Guedes1 , M. Ginja4 composition of light carcass kid goats 1. CECAV, UTAD, Vila Real, Portugal; Evaluation of carcass characteristics of farm 2. CECAV, ESA-IPB, Bragança, Portugal; animals is an important objective either 3. CI&DETS, ESA-IPV, Viseu, Portugal for production or for scientific knowledge. 4. CITAB, UTAD, Vila Real, Portugal Unfortunately the gold standard methods for determining carcass composition are destructive and laborious. The computing tomography (CT) has emerged as the most promising technique and several papers have been published in pigs and sheep. However little work with goats has been conducted. Therefore the objective of this study is to perform the use of CT to predict light carcass
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 48 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 49 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Poster Presenter Profiles & Abstracts
Peter Polák – Research Institute for
Animal Production, Slovakia
■ PROFILE taken in to consideration. There were 19 heifers of Lithuanian whitebacked (LWB) 13 heifers Peter Polák gradu- of Lithuanian ashgray (LAG) and 3 heifers of ated with Ing. in Ani- Lithuanian red breed (LR) of old genotypes mal husbandry from analysed. Age of heifers was between 14 WG1 SPEAKER Slovak University of and 28 months. Muscle and fat thickness Agriculture in Nitra in were measured by Aloka PS 2, with probe UST- PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 POSTER PRESENTER 1996, followed a PhD 5044-3,5 MHz, 172 mm on five position of the (2006) from the same body. Average daily gain, body and muscle university. The topic development were evaluated by means of the PhD study was of linear evaluation of exterior used for beef Using Ultrasound and Video Image Analysis in cattle in Slovakia done by certified person. Prediction of Carcass Value in Cattle. Average daily gain in all breeds was 730 g LR, 740 g LWB and 751 g LAG. Total layer of muscle Since 1997 he has been working as a scientist was higher in LR 268 mm (249 LWB, 258 LAG). at the Animal Production Research Centre in The highest score for linear evaluation was in Nitra, at the Department of Animal Breeding LR too 15.33 points (13.05 LWB and 14.07 LAG). and Product Quality. His scientist work is based Also score for muscle development was the on in vivo assessment of carcass quality and highest in red cattle. However the results could meat quality as well as beef cattle production. be affected by number of animals and herds He has been involved in the projects focused of origin. LR heifers originated from the herd on beef quality, carcass quality and meat where animals had best results. Because all 3 quality assessment by means of ultrasound and breeds are considered as rare endangered video image analysis. More research projects breeds within the scheme of genetic resources he has been involved in similar projects with conservation and because the work was beef, dual purpose cattle and sheep, low input done during one week STSM of FAIM project production, using sensors for management of the number of animals in breeds was lover and body condition in dairy herds as well as animal range of age was higher. All measured traits genetic resources. Peter has been involved in were affected by overall condition on farms. numerous applications for founding in national and European schemes. He published 20 Co-authors: papers in peer reviewed journals. He actively R. Šveistiene and J. Tomka. cooperate with beef and Simmental farmers National Agricultural and Food Centre, RIAP, associations in Slovakia. Department for Animal Welfare, Breeding and Product Quality, Lužianky, 951 41 Slovak ■ ABSTRACT (WG01P04) Republic, [email protected] Muscle development as characteristic for beef production in 3 indigenous breeds of cattle in Lithuania
The aim of the investigation was to judge possibility of 3 indigenous breeds of cattle for in Lithuania currently used in dairy system for beef production in cow – calf system. Muscle thickness measured by ultrasound muscle and body development evaluated by trained classificatory as information of body conformations as well as milk production were
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 50 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 51 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Poster Presenter Profiles & Abstracts
Beata Grzegrzółka – Warsaw
University of Life Sciences - SGGW, Poland.
■ PROFILE an electronic scale, and different linear body measurements using a measuring tape. Beata Grzegrzółka Finally, all carps were slaughtered in order to studied Animal Sci- measure different carcass traits including the
WG1 SPEAKER ence at the Warsaw backfat thickness of the split carcass. After University of Life Sci- slaughtering, before dissection, the whole PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 POSTER PRESENTER ences – SGGW, Po- carps were scanned, using a computed land. She finished tomography scanner (Siemens Somatom Plus her doctorate thesis 4 with 140 kV, 146 mA, 30 cm FOV, and 3 mm focused on embryo slice thickness). After dissection and collecting development in Japa- all carcass traits, one fillet including the skin nese quail BW selection and received a PhD of each carcass was analyzed chemically for in Agricultural Sciences in 2010 at the Faculty reference fat content. of Animal Sciences at the WULS – SGGW, Po- land. Since 2009 she works as a lecturer and Single in vivo measurements showed poor researcher in the Department of Genetics and prediction of fat content. Linear measurements Animal Breeding, Faculty of Animal Sciences, taken on single CT slices of special regions WULS – SGGW, Poland. She is also responsible of the fish in some cases revealed higher for the experimental flock of Japanese quail relationship with fat content (R2≤0.81) or fillet breeding at the University. The main fields of weight (R2≤0.87). As CT technology is possible her research interests are correlated response without slaughtering, multiple linear regression to selection in quails, avian embryology, popu- models based on several in vivo traits and lation and animal genetics, animal behaviour, chosen CT measurements would be useful in biostatistics, and imaging techniques in animal prediction of fat content and fillet weight in sciences. live fish, as these two traits seem to be among the most important for carp consumers. ■ ABSTRACT (WG01P05) Co-authors: CT phenotyping of carcass traits in mirror carps P. Maas1,2, M. Judas3, P. Kreß1, M. Oberle4, (Cyprinus carpio) M. Gareis2, P. V. Kremer1
The carp is the most important culinary fish 1. University of Applied Sciences within the EU after the salmonides. In Germany, Weihenstephan-Triesdorf, Faculty of some regions produce carps protected by Agriculture, Weidenbach, Germany; the EU as Protected Geographical Indication 2. Ludwig-Maximilians-University of Munich, (PGI). Since 2012, also the Aischground carp Chair of Food Safety, Oberschleißheim, is listed as a PGI. The specification for this carp Germany; includes – among others – a maximum body 3. Max Rubner-Institute, Department of weight of 1700g and a max. fat content of 10% Safety and Quality of Meat, Kulmbach, within the fillet including the skin. As carps are Germany; 4Bavarian State Institute of sold alive, the production of carp, fulfilling the Fisheries, Höchstadt a. d. Aisch, Germany specifications requires a method to predict 4. Bavarian State Institute of Fisheries, the meat quality in live fish. Höchstadt a. d. Aisch, Germany
During this study, 60 mirror carps (Cyprinus carpio), originating from 6 different ponds of the Bavarian region ‘Aischground’, were measured in vivo for their body weight using
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 52 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 53 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Poster Presenter Profiles & Abstracts
Beata Grzegrzółka – Warsaw
University of Life Sciences – SGGW, Poland.
■ PROFILE their body weight using an electronic scale, and different linear body traits using a measuring Beata Grzegrzółka tape. Afterwards, all fish were slaughtered and studied Animal Sci- the whole carps were scanned in groups of 4 WG1 SPEAKER ence at the Warsaw fish per box, using a computed tomography University of Life Sci- scanner (Siemens Somatom Plus 4 with 3 mm PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 POSTER PRESENTER ences – SGGW, Po- slice thickness, 140 kV, and 146 mA). After land. She finished scanning, the reference fat content of each her doctorate thesis carcass was determined by chemical analysis focused on embryo of one fillet including the skin. development in Japa- nese quail BW selection and received a PhD Two image analysis programs were evaluated in Agricultural Sciences in 2010 at the Faculty for the segmentation and analysis of single of Animal Sciences at the WULS – SGGW, Po- carps. First, carps were manually segmented land. Since 2009 she works as a lecturer and from the scanning boxes with TurtleSeq. Then, researcher in the Department of Genetics and the binary 3D mask was exported to ImageJ Animal Breeding, Faculty of Animal Sciences, to segment the single carps from the 3D scans. WULS – SGGW, Poland. She is also responsible From the segmented carps, we produced for the experimental flock of Japanese quail histograms of volume by Hounsfield units breeding at the University. The main fields of (HU). With simple thresholding, volumetric fat her research interests are correlated response content was determined with -200 – 0 HU for to selection in quails, avian embryology, popu- fat, and -200 through maximum HU for total lation and animal genetics, animal behaviour, volume. On a large scale, with 2–24 % fat, biostatistics, and imaging techniques in animal our approach could differentiate lean from sciences. fat carps (R²=0.89). On a fine scale <10 % fat, carps could not completely be differentiated. ■ ABSTRACT (WG01P06) Co-authors: Image analysis of CT scans to predict fat M. Judas1, S. Hellebuyck2, P. Maas3,4, P. Kreß3, content in mirror carps (Cyprinus carpio) M. Oberle5, M. Gareis4, P. V. Kremer3
Carp consumption, after rainbow trout, is 1. Max Rubner-Institute, Department of second highest for fishin Germany. Since 2012, Safety and Quality of Meat, Kulmbach, carp from the Bavarian region ‘Aischground’ Germany; is protected by the EU and listed as Protected 2. University Ghent, Belgium; Geographical Indication. In response to 3. University of Applied Sciences consumer expectations there are strict Weihenstephan-Triesdorf, Faculty of requirements for this regional Aischground carp Agriculture, Weidenbach, Germany; regarding, inter alia, low fat content within the 4. Ludwig-Maximilians-University of Munich, fillet (max. 10%, including the skin), and body Livestock Center Oberschleißheim, weight not exceeding 1700g. Therefore, a Germany; 5Bavarian State Institute of breeding program including precise methods Fisheries, Höchstadt a. d. Aisch, Germany to predict and control these parameters in live fish is required.
For this study, 10 mirror carps (Cyprinus carpio) from each of 6 different ponds of the Aischground region were measured in vivo for
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 54 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 55 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Poster Presenter Profiles & Abstracts
Stijn Hellebuyck – Ghent University,
Belgium
■ PROFILE different HU ranges ([15 85], [10 90], [5 95], [0 100], [0 105], [0 110], [0 120]). Each total volume Stijn studied bio- was multiplied with 2 different densities (1.04 science engineering g/dm³ and 1.05 g/dm³). at Ghent University
WG1 SPEAKER from 2006 to 2011. With a presumed muscle density of 1.04 g/ After these studies, dm³ the total weight difference between PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 POSTER PRESENTER he started working at the dissected muscles and the CT muscles the CBKc. The CBKc was smallest in the HU range [0 120], for is an independent both the B and ST reconstruction algorithm. carcass classification For the ST reconstruction algorithm there organization, which operates from the was an underestimation of the dissected Department of Animal Production at Ghent muscles with 161.1 g. For the B reconstruction University. The main tasks of the CBKc are to there was an overestimation of 50.8 g. With train classifiers of pig and bovine carcasses, to a presumed muscle density of 1.05 g/dm³ assist the competent authority in their policies, the smallest difference between the weight to perform the dissection trials in Belgium of the dissected muscle and the weight of and to update all the involved parties with the CT muscle was found in the HU range [0 scientific progress in pig and bovine carcass 110] for the ST reconstruction modus, with classification. a negligible weight difference of 1.3 g. For the B reconstruction modus the HU range [0 ■ ABSTRACT (WG01P07) 105] showed the smallest difference with an underestimation of 24.2 g. Evaluation of CT protocols for optimized volume regression of lean meat in pig carcasses These data need to be confirmed in further research. This is merely a first step and more In Belgium a calibration of the current pig pig carcases will be scanned and dissected in carcass classification devices is legally required order to obtain an accurate and precise CT before the end of 2019. The goal is that in this method in Belgian trial conditions. calibration trial, computed tomography (CT) will be used to measure the body composition Co-authors: of the selected pig carcasses. As a first step Michael Judas1, Marc Seynaeve², Stefaan De in developing an accurate CT protocol for Smet², Ingrid Gielen³. the Belgian pig population, one random pig carcass was selected. The carcass was chilled 1. Max Rubner-Institute, Department of overnight and cut according the EU reference Safety and Quality of Meat, Kulmbach, method. The four main parts (ham, loin, Germany shoulder and belly) were scanned. CT images 2. Ghent University, Department of Animal were acquired using a 4 slice helical CT scanner Production, Melle, Belgium (Lightspeed Qx/i, General Electric Medical 3. Ghent University, Department of Veterinary Systems, Milwaukee, WI). Transversal images medical imaging and small animal were obtained in bone (B) and soft tissue (ST) orthopaedics, Merelbeke, Belgium reconstruction algorithm. The scanned parts were dissected in separated tissues (meat, fat and bones). During a Short Term Scientific Mission (STSM), Matlab was used to analyse the CT images under the supervision of Dr M. Judas (Max Rubner Institut, Kulmbach, Germany). The total muscle volume was calculated in 7
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 56 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 57 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Poster Presenter Profiles & Abstracts
Cristina Zomeño – IRTA Monells,
Catalonia, Spain
■ PROFILE ■ ABSTRACT (WG01P08)
Cristina Zomeño has The influence of the sex type on the mineral a degree in Veteri- component growth in pigs nary Science by the WG1 SPEAKER Cardenal Herrera CEU The aim of this study was to compare the University (Valencia, development of the calcium (Ca) and PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 POSTER PRESENTER Spain) and a master´s phosphorus (P) during the growing period degree in Animal Hus- among four pig sex types using computed bandry by the Poly- tomography (CT). Forty-eight Pietrain x technic University of (Landrace x Duroc) pigs from four different Valencia. She accomplished her doctorate in sexes (12 entire males, 12 surgically castrated Science and Technology of Animal Husband- males, 12 immuno-castrated males and 12 ry at the Polytechnic University of Valencia in females) were used in this study. Animals were 2013. Her PhD work combined meat quality scanned in vivo at four different target body and genetic areas, and allow her to acquire weights (30, 70, 100 and 120 kg) using a General experience in Near Infrared Reflectance Spec- Electric HiSpeed Zx/l tomograph located at the troscopy (NIRS) applied to measure different IRTA-Monells facilities. They were anaesthetized meat quality parameters such as fat, protein prior the scanning. The content of the Ca and and fatty acid content. She worked as a re- P was estimated in each animal using two CT searcher at IRTA (Monells) within the Product prediction equations, previously developed Quality Programme from April 2014 to Febru- (with an R2 of 0.66 and 0.76 and a prediction ary 2015. She participated in a European Proj- error of 144 and 71 grams, respectively). The ect (FP7-KBBE 2012) entitled “Automatic grad- allometric growth coefficients of Ca and P ing system for determining lean-fat distribution were estimated using the function: Y=aXb, in pig carcasses”. She also collaborated on where Y is the weight of the component, X is the analysis of part of the data of a Research the body weight, a is a constant and b is the Project focused on the in vivo evaluation of allometric growth coefficient. The parameters the growth of fat and muscle pig tissues using a and b were estimated using SAS Software. computed tomography. Then, Bayesian inference was used to study the differences between sexes. The allometric Relevant publications: growth coefficients were 0.93 for Ca and 0.88 for P, showing a proportionally slow growth Zomeño C., Gispert M., Brun A., Carabús A., rate of both components in relation to the BW. Font-i-Furnols M. 2014. Prediction of carcass In comparing the coefficients among sexes, protein and fat chemical content using the immuno-castrated males showed a higher Computed Tomography in live pigs and pig b for Ca and P than females and entire males, carcasses. In: Maltin CA, Craigie C, Bunger L with an estimated difference for Ca of 0.07 and eds. FARM ANIMAL IMAGING Copenhagen 0.08 and for P of 0.04 and 0.06, respectively. 2014. Edinburgh: SRUC. 2014: 44-47 No differences were found among the other sexes. The different deposition pattern of Zomeño C., Juste V., Hernández P. 2012. immuno-castrated males could be evidenced Application of NIRS for predicting fatty acids in at earlier ages, between 50-60 kg of body intramuscular fat of rabbit. Meat Science. 91, weight. These results could be explained by 155-159. the effect of the first vaccination dose applied to this type of males. Zomeño C., Hernández P., Blasco A. 2011. Use of near infrared spectroscopy for intramuscular Co-authors: fat selection in rabbits. World Rabbit Science. M. Gispert, A. Brun, A. Carabús and M. Font-i- 19, 203 – 208. Furnols, IRTA-Product Quality, Finca Camps i Armet, E-17121 Monells (Girona), Spain
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 58 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 59 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Poster Presenter Profiles & Abstracts
Albert Brun – IRTA Monells,
Catalonia, Spain
■ PROFILE ■ ABSTRACT (WG01P09) Albert Brun studied Influence of feeding restriction on body tissue Agri-cultural Engi- composition of growing gilts evaluated in vivo neering and a Master by computed tomography in Food Biotechnology WG1 SPEAKER at the University of Gi- The main objective was to evaluate the effect PROFILES & ABSTRACTS PROFILES & ABSTRACTS rona, Spain. Since 2009 WG1 POSTER PRESENTER of feeding restriction strategy on fat thickness he works at IRTA (Mo- and area at the loin region by means of nells) in the Product computed tomography (CT) images obtained Quality programme. in Pietrain x (Large White x Landrace) live He works with comput- growing (from 30 to 100 kg) swine. A total ed tomography in order to determine the lean of 48 gilts were selected and allocated to 4 meat percentage in pork carcasses, the intra- different feeding strategies: 1) ad libitum (AL) muscular fat in pork and beef chops, and the from 30 to 100 kg, 2) AL from 30 to 75 kg and beef cuts composition. He has participated in restricted in volume (RESV=-14%) from 75 to two European projects (PIGSCAN and ECO- 100 kg, 3) RESV (-22%) from 30 to 75 kg and AL FCE). He also works in several national projects from 75 to 100 kg and 4) restricted in energy where Computed Tomography is used as a (-20%) from 30 to 75 kg and AL from 75 to 100 tool to determine the body composition of live kg. Animals were fully CT scanned (General growing pigs. Electric HiSpeed Zx/I). Images between 11th-12th ribs and 3rd-4th lumbar vertebrae Relevant publications were analysed. Subcutaneous fat thickness and area were determined using VisualPork Font-i-Furnols, M., Brun, A., Tous, N., Gispert, M. software. Results showed that during RESV 2013. Use of lineal regression and partial least period fat increased very little. Fat area in the square regression to predict intramuscular fat two loin images from AL-RESV pigs was lower of pig loin computed tomography images. than AL-AL at 100 kg being in between the Chemometrics and Intelligent Laboratory other treatments. No differences were found Systems 122, 58-64. at the other weights. Regarding fat thickness in the loin, the differences were only found at Font-i-Furnols, M., Brun, A., Martí, S., Realini, 75 kg (RESV-AL lower). Results showed that fat CE., Pérez-Juan, M., Gonzalez, J., Devant, accretion was limited as a consequence of M. 2014. Composition and intramuscular volumetric restriction. fat estimation of Holstein bull and steer rib sections by using one or more computed Co-authors: tomography cross-sectional images. Livestock M. Font-i-Furnols1, M. Gispert1, X. Luo1, J. Soler2, Science 170, 210-218. E. Esteve-Garcia3, R. Lizardo3.
Carabús, A., Gispert, M., Brun, A., Rodriguez, 1. IRTA-Product Quality Program, Finca P., Font-i-Furnols, M. (2014). In vivo pigs Camps i Armet, 17121 Monells, Girona; evaluation of carcass and cuts composition 2. IRTA-Animal Breeding and Genetics, Veïnat growth of three commercial crossbreeds de Sies, 17121 Monells, Girona; using Computed Tomography. Livestock 3. IRTA-Monogastric Nutrition, Ctra. Reus- Science, 170:181–192. El Morell, km. 4.5, 43120 Constantí, Tarragona.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 60 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 61 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Poster Presenter Profiles & Abstracts
Marina Gispert – IRTA-Monells,
Catalonia, Spain
■ PROFILE ■ ABSTRACT (WG01P10)
Marina Gispert studied Accuracy of computed tomography equation Chemical and Agricul- for simplified dissection to predict lean meat tural Engineering in the content from full dissection
WG1 SPEAKER Polytechnics University of Catalonia. She is Reference lean meat content can be obtained PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 POSTER PRESENTER a researcher at IRTA- by means of the simplified manual dissection Monells, in the Prod- of lean from the four main cuts (LMP089) or uct Quality Program, from the full dissection of the 12 cuts of the especially in carcass carcass (LMPFULL). Computed tomography and meat quality issues. She is in charge of the (CT) can be used as a reference method if Pig Carcass Grading in Spain since 2000 and comparable results are provided. Spain has assessor of the Agricultural Ministry of Spain in a CT equation to predict LMP089 but, since these issues. She has participated in several CT measures the entire half carcass and not European projects such as FAIR, EUPIGCLASS, only the four main cuts, it seems that LMPFULL SABRE, PORK QUALITY GENES, PORK QUALITY could be more adequate for CT measure. The CHAIN, PIGSCAN, ECO-FCE. She has also par- objective of the present work is to know the ticipated in calls related with boar taint such relationship between LMPFULL and LMPCT as AIR, ALCASDE and PIGCAS. She is author of as well as between LMPFULL and LMP089. A a high amount of scientific papers, congress total of 18 carcasses with an average carcass presentations and professional papers. weight of 83.4 kg were CT scanned (General Electric HiSpeed Zx/I, 140 kV, 145 mA, 10 mm Since 2008 IRTA has a General Electric thick, 512x512, helical pitch 1) and then fully Computed Tomography equipment. It has dissected. From the full dissection, both LMPFULL been used for pig carcass grading purposes and LMP089 were obtained, according to the and evaluation of live pigs. EU legislation. Results show that the relationship between LMP089 and LMPFULL when intercept Relevant publications: is forced to be zero is important (r=0.9999) and the slope is 0.967 [0.962, 0.973]. Between Font i Furnols, M., Fabiana, M., Gispert, M. 2009. LMP089 and LMPCT when intercept is forced Estimation of the lean meat content in pig to be zero is also very strong (r=0.9998) and the carcasses using X-ray Computed tomography slope is 0.958 [0.951, 0.965]. Results show that and PLS regression. Chemometrics and with the equation to estimate LMP with CT, Intelligent Laboratory Systems 98, 31-37. calibrated for simplified dissection it is possible to evaluate the LMPFULL by multiplying the Carabús, A., Gispert, M., Brun, A., Rodriguez, result by a constant to correct the bias. P., Font-i-Furnols, M. (2014). In vivo pigs evaluation of carcass and cuts composition Co-authors: growth of three commercial crossbreeds using A. Brun, M. Font-i-Furnols Computed Tomography. Livestock Science, 170:181–192. Product Quality Program, IRTA, Finca Camps i Armet, 17121 Monells, Spain Font-i-Furnols, M., Carabús, A., Pomar, C., Gispert, M. (2014). Estimation of carcass and cuts composition from computed tomography images of growing live pigs of different genotypes. Animal, 9:1: 166-178.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 62 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 63 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Poster Presenter Profiles & Abstracts
Dennis Brandborg Nielsen –Danish Meat Research Institute (DMRI), Denmark
■ PROFILE Dennis Brandborg Nielsen is a consultant
WG1 SPEAKER at the Danish Meat Research Institute PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 POSTER PRESENTER (DMRI), Danish Tech- nology Institute. He studied Biomedical engineering at Aarhus University, Denmark and further took a specialization as a Business engineer. Before joining the DMRI he worked at Aarhus University and Odense University segmentation methods (Threshold and Owen- Hospital, Denmark as a researcher in the areas Hjort-Mohn) were used to segment meat, fat of 3 dimensional motion analysis and radio- and bone using a custom made Matlab® graphic/imaging analysis. function. Average densities estimated in previous studies have been used to estimate the weight of meat, fat and bone. ■ ABSTRACT (WG01P11) Analysis of lean meat percentage in pig Comparison between the scanner settings carcasses: Comparison of two different scanner and segmentation method was performed settings and two different segmentation using paired sample t-test in R (R Core Team methods 2015).
The aims of this study were to investigate In summary, our results show that the standard variation in two scanner settings and two variation of the differences between two set segmentation methods in the determination of results, i.e. between two segmentation of Lean Meat Percentage (LMP). methods and the same scanning method and vice versa are in the range 0.15 to 0.22 A precise detection of muscle tissue allows for LMP. We found a significant variation up to a better estimation of LMP, which is important 0.6 LMP. The variation was highest between for the payment to the farmers. Computed the segmentation methods. The OHM tomography (CT) is considered the most method seems to be the most robust method promising method for calibration of online independent of scanning method. equipment estimating LMP, but CT is currently only used as a secondary reference method. Co-authors: Eli Olsen1, Markku Honkavaara2 and Lars Bager In medical diagnostics, comparing tissue Christensen1 volumes it has been stated that it is important to use the same scanner and the same settings. 1. Danish Meat Research Institute, Denmark It is therefore important to investigating the 2. Natural Resources Institute Finland (Luke), variation in the different scanner settings Finland and segmentation methods. This study will contribute with estimates for the variation between two scanner methods and two segmentation methods enabling the use of CT as a primary reference for LMP calibrations.
Ninety carcasses were scanned consecutively: first with a step-and-shoot (8mm slice) followed by a helical (10mm slice) scan. The CT scanner was a Toshiba Aquilion S16 TSX-101 with a voltage of 135 kV, current of 200 mA and exposure time of 1500 ms. Second two different
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 64 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 65 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Poster Presenter Profiles & Abstracts
Aneka Bauer – Max Rubner-
Institute, Kulmbach, Germany
■ PROFILE ■ ABSTRACT (WG01P12) Aneka Bauer studied Validity of classification equations for boar Agricultural Biology carcasses with emphasis on farm The fattening of entire male pigs is an alternative WG1 SPEAKER animal biology, and graduated with a Di- to surgical piglet castration. But there are still PROFILES & ABSTRACTS PROFILES & ABSTRACTS
WG1 POSTER PRESENTER ploma thesis in 2006 some open questions which are investigated at the University of Ho- in many projects. It is known that boars have a henheim, Germany, different shape and carcass tissue composition followed by a PhD in compared to gilts and barrows (e.g. Bauer and Agricultural Science (2010) at the Institute of Judas, 2014). This may have an impact on the Animal Husbandry and Animal Breeding, De- correct estimation of lean meat percentage partment of Animal Breeding and Regulation and weight of carcass parts with classification Physiology, University of Hohenheim, Germany. systems like AutoFOM based on ultrasound Her PhD thesis was on effects of immunologi- image analysis. Thus, we compared carcass cal castration on the regulation of metabolism data from full manual dissection (Bauer and in boars. Judas, 2014) with estimates from AutoFOM 1 and AutoFOM 3 systems. The sample comprised Since 2009, she has been a principal scientist ca. 80 carcasses of boars, gilts and barrows in the Max Rubner-Institute, Department of each, representative for German slaughter Safety and Quality of Meat in Kulmbach, Ger- pigs, with five major morphological types in many. She is heading various projects related three weight groups. to meat quality. One project investigates dif- ferent aspects of meat production with entire The largest deviation was found for boar male pigs. One question was, if boar carcass- carcasses. The RSME for lean meat was es are classified correctly with currently valid between 1.9-2.3 for AutoFOM 1 and 3 formulas. which is still within the official limits. The lean meat percentage was under-estimated by Relevant publication: AutoFOM 1 (bias = -0.8) and over-estimated by AutoFOM 3 (bias = +0.9). The distortion for gilts Bauer A. and Judas M., 2014. Schlachtkörper- and barrows was between lower with 0.1-0.3 qualität von Mastebern im Vergleich zu Sauen %-points. Within different morphological types, und Börgen. Züchtungskunde 86 (5/6), 374- boars showed deviations in the same range as 389. for some subgroups of gilts and barrows.
The weight estimation of carcass parts for boars resulted in RMSEs of more than 5 % for some parts, e.g. ham. In total, the results were less accurate than for gilts and barrows.
Although distorted, the classification of boar carcasses was within the official limits.
Co-author: Michael Judas, Max Rubner-Institute, Department of Safety and Quality of Meat, Kulmbach, Germany
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 66 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 67 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG1 Poster Presenter Profiles & Abstracts
Antoine Vautier – Institute for Pig &
Pork Industry (IFIP), France
■ PROFILE corresponding to the four main cuts (ham, loin, shoulder and belly). These diagrams were Antoine Vautier stud- logically constructed from raw primary cuts to ied agronomic engi- deboned, defatted and trimmed cuts, and neering and animal all the combinations were included. The idea
WG1 SPEAKER science in the Uni- was to use these diagrams as a tool to identify versity of Rennes. He without any doubt a specific meat cut, then PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 POSTER PRESENTER works at IFIP in Le Rheu an identification number can be used to open (France) since 2002 the dedicated data sheet. The data sheets on meat quality. His include three standardized pictures of the main research fields meat cut (medial, lateral, and other view) and are predicting methods for meat quality and an identification number from other standards porcine myology. Since 2007, he is involved (UNECE meat standards, FrenchPorkCuts.com) in several research programs based on NIRS when anatomical specifications match. The spectroscopy. anatomical specifications include the kind of cutting that is needed to get this cut from a Relevant publications : previous cut in the diagram. It includes too the amount of each muscle that can be found in Vautier A., Lhommeau T., Daumas G., 2013. the cuts, according to the dissection guidelines Near infrared spectroscopy (NIRS) as a tool for published by the IFIP. predicting the technological quality of ham. FAIM II, Oct. 29th-30th 2013, Hungary.
Vautier A., Lhommeau T., Daumas G., 2013. A feasibility study for the prediction of the technological quality of ham with NIR spectroscopy. Proceedings of EAAP 2013.
Vautier A., Lhommeau T., Monziols M. 2014. Vis- NIR spectroscopy to predict the cooking yield of loins. FAIM III 25th and 26th of September 2014, Denmark.
■ ABSTRACT (WG01P13) Definition of standards for anatomical specifications of French cuts of pork meat
The proportion of carcasses cut into the French pork slaughterhouses is now very important and is still increasing. To assess the cuts flows it is needed to have standards of pork cuts. This would avoid any confusion when describing all the specific meat cuts that could be recorded in the French market.
Moreover, these standards could be helpful Medial, lateral and other view of “Jambon sel sec” ref. 30.101 to re-normalize a French industrial cutting for grading and marketing carcasses based on Co-authors: the quality of the cuts. Nictou A.1, T. Lhommeau2, Monziols M.2 and Daumas G.2 This work is based at first on a large survey performed in 16 French cutting rooms from 1. FranceAgriMer, Paris, France varying regions. Meat cuts name, description 2. Ifip-Institut du porc, Le Rheu, France and anatomical landmarks were recorded and the data were put together in four diagrams,
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 68 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG1 POSTER PRESENTER PROFILES & ABSTRACTS PROFILES & ABSTRACTS WG1 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 69 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Speaker Profiles & Abstracts
Cameron Craigie – AgResearch, ■ ABSTRACT (WG02T01) New Zealand
Spectra-based techniques for predicting meat quality - an Australasian perspective ■ PROFILE Australia and New Zealand red meat Cameron Craigie production accounts for a large share of holds a BSc (Hons) in the global red meat export trade. A largely Genetics, and BCom
WG2 SPEAKER unsubsidized farming system, favourable in Business Manage- environments for livestock production, large
PROFILES & ABSTRACTS ment from Otago distances to key off shore markets, relatively University and a PhD high production costs have shaped the in Animal Science Australasian red meat industries. This coupled from Massey Univer- with high market demand for Australasian sity and SRUC Edin- meat products has fostered innovation and burgh. After studying large scale operations in a drive to increase and working in Scotland from 2007-2013, Cam- efficiency and improve meat product quality. eron returned to New Zealand in January 2014 Advances in animal breeding, meat processing to take up a position at AgResearch Ruakura and meat preservation techniques have been as a Science Impact Leader – Meat Products instrumental to industry success, yet there is and Supply. In his role as a science impact still considerable variation in meat product leader, Cameron has oversight of all meat- quality. Variation presents both a challenge related research work across AgResearch and and an opportunity for the red meat value plays a strategic role of shaping the research chain. Meat eating quality is a very valuable direction and capability in meat science. In aspect of meat products. Firstly consumers are his role as a senior scientist, Cameron currently willing to pay a premium for meat products leads two major industry-funded spectral im- with superior eating quality characteristics, and aging projects and a number of other meat secondly a positive eating experience is an science projects focussing on carcass, meat important driver of repeat purchase events. and co-product value streams in beef, lamb Consequently, there has been an enduring and venison. Cameron has been involved in interest in ways to measure meat eating quality FAIM since the start and is pleased to return without destroying the product. This has been to FAIM IV in Edinburgh to give an Australasian both to harness and control variation, and to perspective on spectra-based techniques for capture value. Spectra-based techniques such predicting meat quality. Some recent publica- as Visible-Near Infrared Spectroscopy, Raman tions are listed below: Spectroscopy and Hyperspectral Imaging Systems have a potential application in the Qiao, T., Ren, J., Craigie, C., Zabalza, J., Mal- red meat sector as tools for rapid non-invasive tin, C., Marshall, S. (2015) Quantitative predic- assessment of various meat quality parameters. tion of beef quality using visible spectroscopy A brief overview of the research work in Australia with large data samples under industry condi- and New Zealand involving the application of tions, Journal of Applied Spectroscopy, 82 (1), these technologies for meat quality prediction 137-144. along with future research directions will be discussed. Qiao, T., Ren, J., Craigie, C., Zabalza, J., Mal- tin, C., Marshall, S. (2015) Singular spectrum Co-authors: analysis for improving hyperspectral imaging S.M. Fowler1, M. Knight2, A.D. Stuart3, D.L. based beef eating quality evaluation, Com- Hopkins1, M.M. Reis3 puters and Electronics in Agriculture, 115, 21-25 1. SW Department of Primary Industries, 296 Binni Creek Road, Cowra, 2794, New South Craigie, C.R., Purchas, R., Maltin, C., Roehe, Wales, Australia; R., Morris, S.T. (2014) Assessing the meat 2. Department of Economic Development, quality of venison short-loin from farmed red Jobs, Transport & Resources, 915 Mount deer using visible near infrared spectroscopy. Napier Road, Hamilton, 3300, Victoria, Proceedings of the New Zealand Society of Australia. Animal Production, Napier, 74, 17-22. 3. AgResearch Limited, Ruakura research Centre, 10 Bisley Road, Hamilton, 3214, New Zealand.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 70 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG2 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 71 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Speaker Profiles & Abstracts
Heinar Schmidt – University of Bayreuth, Germany
■ PROFILE ■ ABSTRACT (WG02T02) Heinar Schmidt is se- Raman Spectroscopy for the Assessment of nior researcher at Meat Quality the University of Bay- WG2 SPEAKER reuth. Since 2009, he Raman spectroscopy is one of the non- is heading the group PROFILES & ABSTRACTS destructive methods which came under “In-situ Analytics” at scrutiny in WG2 Meat Quality of COST action the Research Centre FAIM for the determination of relevant quality of Food Quality (ForN) parameters. in Kulmbach, Germa- ny which focuses on Raman spectroscopy is based on the the application of non-invasive real-time tech- inelastic scattering of light which is providing nologies for the recording of quality relevant information of molecular vibrations of the parameters for process control and quality probed material. In doing so, Raman spectra management. are complementary to infrared absorption He graduated from Berlin University of spectra but they have the benefit that virtually Technology (TU Berlin) with a diploma in no sample preparation is required and that chemistry in 1988 and with a doctoral degree water is not interfering. Therefore, Raman in chemistry (Dr. rer. nat.) in 1992. spectra can be used for qualitative and quantitative analysis of food with high water Then, he moved to the department of content, such as meat. Yet, it is an emerging Physics at TU Berlin to study laser technology, technique in this field. spectroscopy, optics and photonics to develop Raman probes and surface-enhanced Raman The presentation reviews recent applications spectroscopy (SERS) for the trace analysis of of Raman spectroscopy in meat science polycondensated aromatic hydrocarbons in for a non-invasive determination of quality water and seawater (PAHs). He co-ordinated characteristics such as pH value, water holding two EU projects which resulted a field-tested capacity (or drip loss), colour, tenderness (or prototype of a sea-worthy instrument based shear force), intramuscular fat content, iodine on absorption, fluorescence and Raman value and fatty acid composition. spectroscopy. Emphasis is put on technological and After a period of science management at the sensory quality parameters which have Research Centre of Photonics at TU Berlin, he been investigated with beef, pork, lamb and addressed research to food science with the development of a hand-held Raman probe poultry. Furthermore, the feasibility to predict for the rapid detection of meat spoilage. quality parameters of pork early (i.e. pre-rigor) in the production process is highlighted and His current research focuses on the application implications are discussed. The potential of of Raman spectroscopy for a rapid and online Raman spectroscopy to discriminate between assessment of meat quality. This involves studies animal species is also referred to. on the prediction of pork quality from early post mortem Raman spectra, the assessment The presentation is responsive to recent of technological quality parameters and the developments in the field of Raman determination of the microbial status of meat. instrumentation such as compact and portable Raman devices and their application. The latest paper published on the topic is: In summary, benefits and drawbacks of using Scheier, R., Scheeder, M., Schmidt, H. (2015). Raman spectroscopy for the assessment of Prediction of pork quality at the slaughter meat quality will be discussed and perspectives line using a portable Raman device. Meat for the determination or a prediction of quality Science, 103, 96-103. parameters will be shown.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 72 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG2 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 73 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Speaker Profiles & Abstracts
Maria Victoria Sarries – Public University of Navarra , Spain
■ PROFILE Maria Victoria Sar- ries, is teacher of Ani-
WG2 SPEAKER mal Production in the Public University of
PROFILES & ABSTRACTS Navarra (Spain). She has participated in 18 research projects with public funding and in 11 projects with private SMEs fund- ing. She has published 27 papers in peer re-
views, more than 3 chapters in books and she Figure 1. Representative spectrum in the region between 1900 and 900 has presented more than 54 proceedings to cm-1. national and international congresses. These projects have mainly been associated with Samples of Longissimus dorsi muscle between the evaluation of meat quality and improve- the sixth and eighth rib were used in this study. ment animal production system. These projects All samples were kept at 4º C and the ageing have also involved the evaluation of several periods used was 24 h from the slaughter. The techniques for measuring carcass and meat texture analyses were performed by a Stable quality, including ultrasounds, image analy- Micro System Model TA-XT2i texture analyser sis, and colour measurements on the carcass (Stable Micro Systems, Godalming, England). to predict meat colour stability, especially at MIR spectra were collected using Fourier meat foal. transform mid-infrared (Vertex 80v, Bruker) between 4000-400 cm-1. All measurements ■ ABSTRACT (WG02T03) were performed with an Attenuated Total Reflectance accessory A225/QPlatinum-ATR Measurement of meat foal characteristics by (Bruker, Ettlingen, Germany) with a diamond Mid-infrared spectroscopy (MIR) crystal. The models were built by a Partial Least Square (PLS) regression and a specific program The main objective of this work was to use fast of chemometrics was employed, OPUS Quant measurements recorded at MIR spectrum to v.7 (Bruker, Ettlingen, Germany). To evaluate determine the chemical composition (protein, the performance of the robustness of models, fat content, water content), colour coordinates regression coefficient of calibration, prediction L*a*b*, texture characteristics, TBA value and and validation were used by comparing the visual sensory attributes on meat foal at 24 actual and predicted values. In table 1 appears hours post-mortem based on the relationship the prediction models and the relationship between the MIR spectrum measurements between the MIR spectrum measurements and the determinations recorded directly on with the determinations recorded directly on the meat foal (physico-chemical parameters). the meat foal (physico-chemical parameters) from the analysis. It is possible to say that further research would be focused on the development of this technique to predict the physic and chemical characteristics of the foal meat.
Co-authors: Ruiz, M., Lozano, M., Beriain M.J., Rodriguez, P., Insausti, K., Beruete, M.
Table 1. Relationship between the MIR spectrum measurements and the physico-chemical parameters using the spectral information (range: 1951 - 980 cm-1) from foal meat samples at 24 hours post-mortem
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 74 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG2 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 75 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Speaker Profiles & Abstracts
Silvia Ampuero Kragten – Agroscope, Institute for Livestock
Sciences ILS, Posieux, Switzerland
■ PROFILE ■ ABSTRACT (WG02T04)
After a chemical en- Physico-chemical data improves pre-diction WG2 SPEAKER gineering and a PhD models for drip loss with NIRS in pork slices
PROFILES & ABSTRACTS degree obtained at the “Ecole Poly-tech- O: The aim of this work was to evaluate the nique Fédérale de possibility to improve NIRS models to predict Lausanne” in Switzer- drip loss in intact meat (pork) slices by including land, I worked with easily available physico-chemical signals, such chemo-metry at the as temperature and pH. Swiss Federal Station for Milk and Dairy Products. There, we could B: Although NIRS is an approved method for develop a number of projects with an elec- the determination of the nutritional content of tronic nose based on mass spectroscopy for meat and meat products (AOAC, Anderson the identification of the botanical/geographi- 2007) meat quality parameters, e.g. drip loss, cal origin of cheese products, honey as well are difficult to predict by NIRS (in general, as the detection of off-flavours, such as TMA literature reports R2 below 0.6) in milk. M&M: 86 pigs (Duroc, Pietrain, Large White, For more than 10 years now, I am working at the Swiss Landrace and crossbreeds) were Institute for Livestock Sciences, at Agroscope. slaughtered at the Swiss pig performance One of our research topics is boar taint, for testing station (Suisag). Temperature and which we have adapted an HPLC method pH were taken at 1.5 and 24 h. Drip loss (DL) for the detection of boar taint compounds, was performed (48 h at 2-4°C) in longissimus developed a method for biopsy samples and dorsi samples, dissected 24 h post mortem, for the quantification of boar compounds in via: a) DLsm, a mass-standardized method meat and meat products. Within a SANCO with 3 cm thick chops of ~80 g and b) DLb, project, we proposed a strategy to include a normal bag method with 2 cm thick whole sensory analysis to chemometric methods chops (3-4 replicates). NIR spectra was taken with an electronic nose. We have performed with a NIRFlex N-500 (Büchi, Flawil, Switzerland) a series of studies on sensory analysis both in on whole chops, along three different ~180° relation to commercial production as well as archs, 21 scans per replicate, between 4000 to in-house boar production projects linked and 10000 cm-1. NIRCal, R software and to special animal nutrition, rearing conditions Unscrambler were used to build chemometric and vaccination against GnRF (Improvac). An models. interesting contribution is the harmonization of analytical techniques for the reference analysis R&C: Low correlation between DL methods of boar taint within a SABRE project. Among was observed (R2 = 0.42). A low range (2.59 different contributions are the following: An - 11.12%, for DLb, and 1.52 - 9.70% for DLsm) in-vitro method for the determination of the combined with a relatively high SD (up to digestible fraction of phosphorus content in 1.6%) are challenging conditions to build NIRS pork feed and feed ingredients. Tannins analysis models. Chemometric models including NIR both spectrophotometric and with NIRS within spectra, temperature and pH data (1.5 and a Marie Curie project. NIRS methods for the 24h) improve SEP values (1.05% compared to determination of fatty acids profile in feed 1.3%), and drastically reduce the necessary ingredients, nutrient content, composition of PC number (from >13 to 2). compound feed, etc. The development of a NIRS predictive method for fat quality based Co-authors: 1 2 on iodine value in pork carcasses’ adipose S. Ampuero Kragten , S. Chiesa, M. Scheeder 1 tissue applied on-line at the Swiss abattoirs, and G. Bee . within a national project. 1. Agroscope, Institute for Livestock Sciences, Posieux, Switzerland; 2. Suisag, Sempach, Switzerland
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 76 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG2 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 77 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Speaker Profiles & Abstracts
Elena Fulladosa – IRTA Monells, Catalonia, Spain
■ PROFILE ■ ABSTRACT (WG02T05) Elena Fulladosa ob- Laser backscattering imaging to determine tained a PhD in Bio- proteolysis index and texture defects in dry- technology from the cured ham WG2 SPEAKER University of Girona in 2004. Currently, she
PROFILES & ABSTRACTS Texture is an important quality criterion in dry- is working as a re- cured ham. Texture defects such as pastiness searcher at the Food are related to the excessive proteolysis Technology Program occurred during the elaboration process. in IRTA. She works for Therefore, the proteolysis index, defined as the the implementation percentage of the ratio between non-protein of new technologies to food industry. She nitrogen and total nitrogen, may be considered has been dealing with different X-ray-based as the best parameter to predict pastiness equipments (Computed tomography, dual X- defects. Investigations on technologies which ray absorptiometry and X-ray inspectors) and may evaluate non-destructively this defect other technologies such as dielectric time do- are of interest. Laser backscattering imaging main reflectometry and NIR. is an emergent technology based on the scattering behavior of light in a material due to Relevant publications: its physicochemical properties and interaction with molecules. The aim of this work was to Picouet, P., Muñoz, I, Fulladosa, E., Daumas, evaluate the feasibility of this technology to G., Gou P. (2014). Partial scanning using estimate the proteolysis index and pastiness computed tomography for fat weight defect in dry cured ham samples. To do so, prediction in green hams: scanning protocols a laser diode operating at a wavelength of and modelling. Journal of food engineering, 635 nm (red) and a digital CCD camera were 142, 146-152. used. Light intensity and scattering area were evaluated on dry-cured ham samples with Fulladosa E., Muñoz, I., Serra, X., Arnau, J., different proteolysis index. Microstructural Gou P. (2014). X-ray absorptiometry for non- differences of these samples were analyzed destructive monitoring of the salt uptake by optical microscopy. Results obtained show in bone-in raw hams during salting. Food that light intensity was similar in samples with control, DOI: 10.1016/j.foodcont.2014.06.023. a higher proteolysis index but scattering area was higher, probably due to the altered tissue Gou, P., Santos-Garcés, E., Høy, M., Wold, J. P., structure. Microscope images show more Liland, K. H., & Fulladosa, E. (2013) Feasibility intramuscular spaces and less robust cell walls of NIR interactance hyperspectral imaging for which could produce a higher scattering of on-line measurement of crude composition in light. More experimental work is needed to vacuum packed dry-cured ham slices, 95(2), obtain definitive results. 250-255. Co-authors: Santos-Garcés, E., Laverse, J., Gou, P., M. Rubio, I. Muñoz, P. Gou, P. Picouet. Fulladosa, E., Frisullo, P. & Del Nobile, M. A. (2013). Feasibility of X-ray microcomputed tomography for microstructure analysis and its relationship with hardness in non-acid lean fermented sausages. Meat Science, 93 (3), 639-644.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 78 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG2 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 79 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Speaker Profiles & Abstracts
Maren Bernau – Livestock Center Oberschleissheim, Ludwig- Maximilians-University Munich, Germany
■ PROFILE analysis (microwave + cook + melt testing) and a second probe from the back fat layer Maren Bernau studied for a stable isotope dilution assay, to measure WG2 SPEAKER veterinary medicine the exact androstenone, skatole, and indole
PROFILES & ABSTRACTS at the Justus-Liebig- levels. University Giessen from 2003-2009. She Using the MRI testicle volume at 90 kg, the obtained her doctoral androstenone level can be predicted with thesis at the Livestock an R2 of 0.23 (RMSE=524 ng/g). Interestingly, Center Oberschleiss- slight differences were found between the left heim of the Veterinary (239.5 ±71.6 cm³) and the right (246.4 ±72.5 Faculty of the Ludwig-Maximilians-University, cm³) testicle volume. Using the left testicle Munich in 2011. Subsequently she worked at volume to estimate the androstenone level, the Institute for Animal Science of the Rhein- an R2 of 0.23 could be received, whereas the ische Friedrich-Wilhelm-University, Bonn from right testicle volume yielded an R2 of 0.21. 2010-2011. From 2011 until now, she works as a scientist at the Livestock Center Oberschleis- Additionally, analyzing the data within three sheim. One field of research is the evaluation different seasonal growth groups, the 13 boars of body and carcass composition of pigs and of the winter season showed a relationship sheep using magnetic resonance imaging between testicle volume and androstenone and dual-energy X-Ray absorptiometry. Her level of R2 = 0.93 (RMSE = 26.5 ng/g) by using second field of research is the use of magnet- a cubic regression equation for the testicle ic resonance imaging for the detection and volume. When adding the sensory data of these evaluation of local reactions after vaccination 13 boars, 4 out of 13 probes were classified as in pigs, sheep and calves. boar taint. A number of 2 probes belong to boars having the largest testicle volume and ■ ABSTRACT (WG02T06) the highest androstenone levels and 2 probes belong to boars having the lowest testicle Could the testicle volume be an indicator for volume and the lowest androstenone levels. androstenone levels in the carcass fat? Generally, organoleptic positive pigs (n =19) - only after microwave heating - had a testicle The aim of this study was to evaluate, whether volume (LSM) of 520 ± 60 cm³ and negative it is possible to predict boar taint (or especially pigs (n = 15) of 451 ± 62 cm³ (p = 0.0778). androstenone, Skatol, or Indol level) in boar carcasses by evaluating different variables These findings could be interpreted, that the at the boar in vivo. Therefore a total of 34 testicle volume shows a positive relationship intact boars (Piétrain x German Landrace; with the androstenone level. But, there seems divided into 3 groups) were scanned three to be a seasonal effect, which calls for further times during their growth (ø 30, 60 & 90 kg live research in this area. body weight). Magnetic resonance imaging was used, to scan the whole body, using a spin Co-authors: echo sequence (TR 380s; TE 15ms) with 10 slices M. Bernau1, S. Schwanitz1, L.S. Kreuzer1, P.V. of 15 mm thickness (distance factor 0.25). The Kremer2 and A.M. Scholz1. images were evaluated semi-automatically using the Able 3D Doctor Software®. Different 1. Livestock Center Oberschleissheim, variables were created to determine the fat Veterinary Faculty, Ludwig-Maximilians- and muscle composition of the shoulder, loin, University Munich, Germany. belly and ham region. Additionally the testicle 2. University of Applied Sciences volume was determined. After slaughtering Weihenstephan-Triesdorf, Weidenbach, boar taint probes were sampled, one cheek Germany. and salivary glands probe for the organoleptic
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 80 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG2 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 81 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Speaker Profiles & Abstracts
Trinidad Perez-Palacios – University of Extremadura Cáceres, Spain
■ PROFILE ■ ABSTRACT (WG02T07)
Trinidad Perez-Palacios Low-field MRI and computational texture got the Veterinary de- features to predict moisture and lipid content gree at the University of loins. WG2 SPEAKER of Extremadura (UEx) in July 2004. She got Most works carried out to determine quality PROFILES & ABSTRACTS a pre-doctoral grant characteristics of dry-cured products by MRI in competitive calls have been centred on hams, with loins being from the Extremadura much less studied. High field MRI scanners are govern for carrying normally used in food research, which allow out the doctoral thesis in the Food Science high quality images but also imply a high cost. group (TECAL) at the UEx, under the supervi- Low field systems are cheaper but give lower sion of Dr. Teresa Antequera Rojas and Dr. signal to noise ratio. To maximize the signal Jorge Ruiz Carrascal. She also got a grant for to noise ratio and obtain an appropriate doing a pre-doctoral stay in Gent (Belgium) image, it is important the selection of the during three months. In 2009 she defended the adequate sequence. The MRI acquisition doctoral thesis, obtaining the maximum mark, should be followed by a computer system that the European Doctorate and also the Extraor- analyses the images, being computational dinary Doctorate Award of the UEx. Then, she texture feature algorithms highly used. The got a post-doctoral grant in competitive calls main objective of this study was to configure of the Extremadura govern for doing the post- the acquisition and analysis of low-field MRI doctoral stay during 24 months (2011-2012) to determine moisture and lipid content in the Faculty of Pharmacy at the University of Iberian loin. The use of different MRI of Porto (Portugal), under the supervision of sequences (spin echo, SE; gradient echo, GE; Dr. Isabel Ferreira, participating in the CQUP turbo 3D, T3D) and computational texture group (Centro de Química da Universidade feature algorithms (GLCM, NGLDM, GLRLM, do Porto integrado no Laboratório associado GLCM+NGLDM+GLRLM) was evaluated. REQUIMTE). After that, she has had several con- Multiple linear regression was used as tracts as researcher working with TECAL group. predictive technique. For both, moisture During all these activities, she has participated and lipid prediction, the highest correlation in 4 projects/contracts, one of them being a coefficients were found when applying GLCM European project, and she has achieved the and GLCM+NGLDM+GLRLM on MRI acquired following publications: 40 papers in peer re- with SE or GE. Nevertheless, SE obtained a bit viewed journals, 6 in technical journals, 24 in- higher correlation coefficients (0.771-0.954) ternational and national congress publications than GE (0.703-0.890). Considering not only and 4 chapters in international edited books. the accuracy of the methodology, but also In relation to teaching activities, she has had time consumed and resources required, it two temporary contracts as official teaching could be indicated the use of SE sequences, in Food Technology. She has also supervised for MRI acquisition, and GLCM algorithm, for six master theses. Currently, she has supervis- MRI analysis, for prediction moisture and lipid ing two doctorate theses and three master content of loin. theses. Co-authors: Most relevant papers related to MRI: D. Caballero, M. Avila, and T. Antequera. J. Food Eng. (2010) 101, 152-157 IproCar, Research Institute of Meat & Meat Food Res. Int. (2010) 43, 248-254 Product, Universidad de Extremadura, Food Chem. (2011) 126, 1366-1372 Cáceres, Spain. J. Food Eng. (2014) 131, 82-88
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 82 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG2 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 83 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Speaker Profiles & Abstracts
Maria Font-i-Furnols – IRTA Monells, Catalonia, Spain
■ PROFILE ■ ABSTRACT (WG02T08) Handbook on reference methods for meat Maria Font-i-Furnols quality determination is researcher at the
WG2 SPEAKER Institute of Food Re- Within the framework of the Cost Action search and Tech-
PROFILES & ABSTRACTS FAIM, one of the milestones of WG2 (Meat nologies (IRTA) in Quality) was to write a handbook of reference Monells, Catalonia, methods for previously selected meat quality Spain. She belongs to traits. The handbook is a conjoint work created the Product Quality thanks to the networking created within the Program. She has a Cost Action FAIM. The handbook is the result MSc in Agricultural Engineering (1994) from the of the work performed by 17 researchers University of Lleida and the PhD (2000) from from 10 EU institutions and 8 EU countries. This the Polytechnics University of Catalonia. She work could not be done without the previous has worked mainly on boar taint, consumer participation of several FAIM members, studies, carcass classification and in the use from 14 countries and 19 institutions, in a of computed tomography to evaluate car- questionnaire to collect information about cass and meat quality. She has participated references methods used in their labs. in several EU projects (Eupigclass, Quality Pork Furthermore, the selected attributes included Genes, Boar taint AIR project, Alcasde, Pigcas, in the handbook were also selected after Pigscan, among others) and National Projects. a questionnaire and a discussion session in Nowadays she coordinates a national project FAIM II conference in 2013. entitled “Influence of feeding restriction and dietary P levels on body tissue composition The handbook will be presented and evaluated in vivo by computed tomography, distributed at FAIM IV and it has the following bone mineralization and sensory properties of chapters: meat from gilts”. She is the author of more than fifty-five peer reviewed papers, a high amount 1. Protein, fat, moisture and ash. of professional papers and six book chapters. 2. Intramuscular fat and marbling. 3. pH value and water-holding capacity Some papers published in the topic of 4. Muscle and fat colour. computed tomography are: 5. Instrumental tenderness – shear force. 6. Fatty acid analysis in meat and meat Font-i-Furnols, M., Brun, A., Tous, N., Gispert, M. products. (2013). Use of linear regression and partial least 7. Reference measurement for sensory square regression to predict intramuscular fat attributes: tenderness, juiciness, flavour of pig loin computed tomography images. and taint. Chemometrics and Intelligent Laboratory 8. General aspects of chemometrics Systems, 122, 58-64. for calibration and validation of spectroscopic technologies. Carabús, A., Sainz, R.D., Oltjen, J.W., Gispert, 9. Future trends in non-invasive technologies M., Font-i-Furnols, M. Predicting fat, lean and suitable for quality determinations. the weights of primal cuts for growing pigs of
different genotypes and sexes using computed The editors of the handbook hope that it will tomography. Journal of Animal Science, 93, be a useful tool for scientist and technicians. 1388-1397. Co-authors: Font-i-Furnols, M., Brun, A., Martí, S., Realini, CE., Maja Prevolnik1, Marjeta andek-Potokar1,2, Pérez-Juan, M., Gonzalez, J., Devant, M. 2014. Č Charlotte Maltin3 Composition and intramuscular fat estimation of Holstein bull and steer rib sections by using 1. University of Maribor, Faculty of Agriculture one or more computed tomography cross- and Life Sciences sectional images. Livestock Science 170, 210- 2. Agricultural Institute of Slovenia 218. 3. Biomics Ltd, Aberdeenshire, UK
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 84 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG2 SPEAKER
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 85 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
Teresa Antequera – University of Extremadura, Cáceres, Spain
■ PROFILE ■ ABSTRACT (WG02P01) Low field-MRI to study the cohesion of dry- Teresa Antequera cured stuffed deboned shoulders from Iberian received her Ph.D. pigs. degree in Chemistry in 1990 (University of This work aims to analyze the use of low field PROFILES & ABSTRACTS WG2 POSTER PRESENTER Extremadura, Spain). Magnetic Resonance Imaging (MRI) and She is an Associate computer vision procedures to study the Professor in the De- cohesion of stuffed deboned shoulders from partment of Animal Iberian pigs. Deboned Iberian shoulders were Production and Food folded, and subsequently vacuum pressured Science at the University of Extremadura, where and stuffed into casings. Three batches of she teaches “Food Technology”, and “Physic- samples were produced, two with binding ochemical Analyses” in a Master of Meat Sci- commercial additives, fibrinogen-thrombin ence and Technology. The official Ph.D. pro- (FT) and carragenates (CA), and a control gram in which she is currently involved, “Food group (CO, without binding additives). The Science”, has been awarded with Mention to binding additives were added before folding. Excellence. Her research interest is focused on The three batches followed the same curing the area of Food Technology. Through her par- process: 1.5 months at 5-6 ºC – 1 month at 18 ticipation in projects, she has addressed issues ºC – 1 month at 25 ºC – 5 months at 12-15 ºC. related to animal systems (feeding, breeding, At the end of the processing, the dry-cured using of different genetic lines and their influ- products were MRI scanned (ET=24 ms; RT=900 ences in the composition of the meat), and ms). The images were analysed by means of the processing system of Iberian ham (freez- 26 computational texture features. Throughout ing the raw material, conditions of the ripen- the visual comparison of the MRI images, there ing process, different salt systems, etc.).. She were found marked differences among CO, has launched a line of work focused on add- FT and CA batches. Noticeable holes were ing bioactive compounds to meat foods. In observed in FT and CA dry-cured products, 2000, a research line on applications of non- while they were not so perceptible in CO destructive techniques, mainly magnetic reso- batch. As for the MRI computational analysis, nance imaging (MRI) to find issues that may 21 in 26 computational texture features showed affect the quality of Iberian pig products and significant differences among CO, FT and CA their classification was started. She has partici- batches, with CO having higher values for most pated in 40 projects and research contracts computational texture features than FT and and is co-author of 90 papers in journals in- CA batches. Thus, MRI allows monitoring the cluded in SCI, 35 papers in technical journals, cohesion of dry-cured products from stuffed one invention patent, 9 book chapters, and 60 deboned muscles by means of computational conference contributions. She has supervised texture features, and also visually. 10 doctoral theses, being three of them of “Eu- ropean Doctor” mention, and another three Co-authors: “Extraordinary Doctorate Award” based on D. Caballero, A. Caro, and T. Perez-Palacios. their scientific production. She has leaded the IproCar, Research Institute of Meat & Meat research group of “Technology and Quality of Product, Universidad de Extremadura, Cáceres, Food”, and she is currently part of the man- Spain. Agricultural Institute of Slovenia. agement team of the Faculty of Veterinary Medicine at University of Extremadura.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 86 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 87 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
María del Mar Ávila – University of Extremadura, Cáceres, Spain
■ PROFILE Xavier, C., Gonzales-Barron, U., Paula, V., Estevinho, L., Cadavez, V. (2014). Meta- María del Mar Ávila Analysis of the Incidence of Food-Borne received her B.Sc. de- Pathogens in Portuguese Meats and their gree in 1997, and the Products. Food Research International, 55, M.Sc. degree in 1999, 311-323.
PROFILES & ABSTRACTS both in Computer WG2 POSTER PRESENTER Science from the Uni- ■ ABSTRACT (WG02P02) versity of Extremadu- ra. After obtaining the Computational 3D texture features to predict Diploma of Advanced sensorial traits of Iberian loin based on MRI Studies (European certification of research competence and higher studies diploma), she Usually, physical-chemical procedures are the is currently finishing her Ph.D. studies. She is an only verified way to analyse parameters in meat assistant professor in the Department of Com- products. The final quality of these products has puter Science at the University of Extremadura. also been evaluated by sensorial tests. These Her research interest includes Image Process- methods are tedious and destructive. Image ing, and 3D reconstruction, based on Magnet- processing techniques could be applied on ic Resonance Imaging (MRI) from meat prod- MRI avoiding the destruction of the pieces. This ucts. She is researching in computer algorithms work aims to study the relationship between that can help to achieve non-destructive ap- computational 3D texture features resulting plications, based on MRI, to find quality pa- from analysing MRI and sensorial characteristics rameters of pig products. She has participated evaluated by trained panellists. in five research projects and is co-author of more than sixteen papers. She has supervised Five cured loins were scanned using MRI Spin- several degree and master theses. Echo sequences (ESAOTE VET-MR E-SCAN XQ 0.18 T). The images were analysed by Relevant publications: applying three texture algorithms in their 3D versions: GLCM, GLRLM, and NGLDM. Then M. Ávila,M. Durán, T. Antequera, R. Palacios 26 computational texture features have been and M. Luquero. 2007. 3D Reconstruction obtained. Evaluated sensorial characteristics on MRI to Analyse Marbling and Fat Level were named as: redness, brightness, marbling, in Iberian Loin. Lectures Notes in Computer odour intensity, hardness, juiciness, salt, flavour Science (LNCS-4477) 145-152. Girona, Spain. intensity, cured flavour, rancid flavour, and persistence flavour. T. Pérez-Palacios, D. Caballero, T. Antequera, M. Durán, M. Ávila and A. Caro. Low-field Linear regression between all the MRI and computational texture features to characteristics has been studied. Results predict quality traits of loins. Elsevier. System show high correlations (R>0.7) between most for Food Chemistry. 2015. (Under revision) of the predicted parameters and the ones obtained by sensorial analysis, except for the M. Ávila, D. Caballero, M. Durán, A. Caro, cured flavour. From the three texture methods, T. Pérez-Palacios and T. Antequera, 2015. GLCM present the better results, and NGLDM Including 3D-textures in a Computer Vision the worst correlations. System to analyse quality traits of loin. Proceedings of the International Conference Therefore the use of 3D texture characteristics on Computer Vision Systems 2015, 6-9 July obtained from Spin-Echo MRI provides 2015, Copenhagen, Denmark. Paper 041. good correlations for predicting loin sensory Interprofesional para el Desarrollo Agrario, characteristics. (Editor), Zaragoza, 2, 649-651 (In Spanish) Co-authors D. Caballero, M. L. Durán, and T. Antequera. IproCar, Research Institute of Meat & Meat Product, Universidad de Extremadura, Cáceres, Spain.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 88 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 89 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
Pablo García Rodríguez – University of Extremadura, Cáceres, Spain
■ PROFILE ■ ABSTRACT (WG02P03)
Pablo García Using data mining and computational texture Rodríguez was born in features on MRI to estimate salt content on Pontevedra (Spain) in Iberian ham. 1969. He received his PROFILES & ABSTRACTS WG2 POSTER PRESENTER B.Sc. degree in Physi- The analysis of salt in ham is crucial due to its cal Science with the influence on the microbiological and sensory specialization in Elec- quality. Traditional methods of salt analysis tronics and Comput- are laborious, time consuming and destroying ing in 1992 (University the sample. As alternative, non-destructive of Santiago de Compostela). He received his techniques, as Magnetic Resonance Imaging Ph.D. degree in Computer Science in 2000 (MRI) and computational texture analyses (University of Extremadura), working in Digital are being proposed. For touching up the Mammography, and with the first mention as a computational data obtained, data mining European Ph.D. in the University of Extremadu- technique seems to be appropriate, since it ra. He is an Associate Professor in the Depart- allows predicting future models from current ment of Computer Science at the University of data by exploring and analysing large volumes Extremadura since 1997. Currently he is Subdi- of data and their trend analysis. This study aims rector of New Technologies and Researching to predict salt content in hams by applying in the Polytechnic School center in the Univer- data mining on computational texture sity of Extremadura. He has 16 articles with JCR features from MRI. For that, 20 dry-cured hams impact factor. His research area is related to were first MRI scanned, that were analysed by the development of Pattern Recognition and three computational texture feature algorithm Image Analysis techniques, and CBIR (Con- (GLCM, NGLDM and GLRLM). Then, salt content tent-Based Image Retrieval). was analysed by traditional method. Finally, all data obtained were touched up by data Relevant publications: mining (multiple linear regression, MLR). The correlation coefficient (R) was used to analyse Barrena, M., Caro, A., Durán, M. L., Rodríguez, and validate the results. The highest R values P. G., Arias-Nicolás, P.G., and Alonso, T. 2015. were found when applying MLR on GLCM Qatris iManager a general purpose CBIR method (R>0.986), proving the effectiveness System. Machine Vision and applications, 26 of the obtained prediction equations. In (4), 423-442. conclusion, the use of data mining to touch up computational texture features from MRI of Mera, D., Cotos, J.M., Varela-Pet, J., hams allows determining the salt content. Rodríguez, P. G., and Caro, A. 2014. Automatic decision support System based on Co-authors: sar data for oil spill detection. Computers & R.Molano, R.Palacios and T. Perez-Palacios. Geosciences, 72, 184-197. IproCar, Research Institute of Meat & Meat Product, University of Extremadura, Cáceres, Pérez-Palacios, T., Caballero, D., Caro, A., Spain. Rodriguez, P. G., and Antequera, T. 2014. Applying data mining and Computer Vision Techniques to MRI to estimate quality traits in Iberian hams. Journal of food engineering, 131, 82-88.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 90 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 91 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
Pere Gou – IRTA Monells, Catalonia, Spain
■ PROFILE ■ ABSTRACT (WG02P04) Pere Gou obtained Automated marbling grading system for a PhD in Agronomic dry-cured ham based on computer image Engineering from the analysis Polytechnic University PROFILES & ABSTRACTS WG2 POSTER PRESENTER of Valencia (Spain) in Marbling in sliced dry-cured ham affects the 1993. Since 1991 he sensory quality of the product. The aim of this has been working at study was to build up an automated marbling the Food Technology grading system for dry-cured ham slices. Program in the Institute Firstly, a sensory marbling grading scale was of Agrifood Research developed by a panel of experts who did not and Technology (IRTA). Since 2009 he is Director only take into account the amount of visual of Food Engineering Subprogram at IRTA. fat content, but also the distribution of the fat flecks. This scale was used for the design of an His main lines of research are: optimization of automatic classification system of dry-cured traditional food technologies, mainly drying ham based on segmenting intramuscular of meat products, and development of new fat. Six-hundred and forty-three regions of technologies for food preservation and for interest (ROI) of the slice were categorized by at-line, on-line and in-line analysis of product a panel of experts using the marbling grading quality and process monitoring. scale and later segmented by the computer system. From the segmented ROI, 48 features Relevant publications: (geometrical and textural) were extracted. Using all the data several classifiers were built Gou, P., Santos-Garcés, E., Høy, M., Wold, J.P., using two machine learning techniques namely Liland, K.H., & Fulladosa, E. (2013). Feasibility Support Vector Machines (SVM) and Neural of NIR interactance hyperspectral imaging for Networks (NN). Different feature selection on-line measurement of crude composition in algorithms were tested to select the optimal vacuum packed dry-cured ham slices. Meat subset of features. The feasibility of these Science, 95(2): 250-255. classifier systems on computed tomography images was also evaluated. Santos-Garcés, E., Muñoz, I., Gou, P., Garcia- Gil, N., & Fulladosa, E. (2014). Including The best results were obtained with the Support estimated intramuscular fat content from Vector Machines classifier combining several computed tomography images improves features showing an accuracy performance prediction accuracy of dry-cured ham of 89%. This system is accurate enough to composition. Meat Science, 96(2A): 943-947. develop a future automatic grading system in terms of marbling for industrial processing Picouet, P.A., Muñoz, I., Fulladosa, E., lines. Daumas, G., Gou, P. (2014). Partial scanning using computed tomography for fat weight Co-authors: prediction in green hams: Scanning protocols I. Muñoz, M. Rubio, E. Fulladosa and modelling. Journal of Food Engineering, 142: 146-152.
Fulladosa, E., I. Muñoz, Serra, X., Arnau, J., & Gou, P. (2015). X- ray absorptiometry for non-destructive monitoring of the salt uptake in bone-in raw hams during salting. Food Control, 47: 37-42.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 92 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 93 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
Kizkitza Insausti Barrenetxea – Public University of Navarra (Spain)
■ PROFILE ■ ABSTRACT (WG02P05) Kizkitza Insausti Bar- Effect of feeding diet on beef NIR-infrared renetxea obtained spectra a PhD in Agricultural Engineering from the The main objective of this work was to use fast Public University of measurements recorded at NIR spectrum to PROFILES & ABSTRACTS WG2 POSTER PRESENTER Navarra (Spain) in examine the effect of feeding a concentrate 2001. Subsequently, diet rich in n-3 fatty acids including whole she has worked at the linseed, or linseed plus vitamin E on beef. Agricultural Engineer- Samples of Longissimus dorsi muscle of 46 ing School at this Uni- animals were used in this study (control, n= versity as a lecturer and researcher in Animal 14; whole linseed, n= 16; linseed plus vitamin Science and Meat Science until now. She has E, n= 16). All samples were aged 7 days after participated in 16 research projects with pub- slaughter at 4º C. NIR spectra were collected lic funding and in 10 projects with private SMEs using a NIR Luminar 503l0 Miniature ‘Hand funding. She has published 28 papers in peer held’. The models were built by a Partial Least reviews, 6 chapters in books and she has pre- Square (PLS) Toolbox 731 and Matlab program sented more than 80 proceedings to national (8.3) was used. and international congresses. In this research, she has used ultrasounds, image analysis, NIR, Different pre-treatments were applied to the and colour spectra on the carcass to predict obtained spectra with the aim of trying to meat quality in beef and lamb. She is MC Sub- segregate beef samples based on the effect stitute Member (Spain) of the Cost Faim1102. of diet.
For beef, and under the present experimental conditions, the best results were obtained when applying the PLS discriminate analysis (PLS-DA) to the best results of the PCA. Beef samples from control diet and from linseed plus vitamin E were correctly classified with a percentage higher than 83%.
Further research would focus on the application of this technology on-line at the slaughter house to control and certify the different diet of animals that might justify a higher price at the market.
Co-authors: PCA feeding groups applying the pretreatment MSC+DT with 8 PC Insausti K, López A, Ruiz M, Lozano M, Butirica J, Gómez I, Sarriés MV, Beriain MJ
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 94 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 95 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
María Jose Beriain Apesteguia – Public University of Navarra, Spain
■ PROFILE ■ ABSTRACT (WG02P06) Maria Jose Beriain is Measurement of texture characteristics of professor of Nutrition beef by Mid-infrared spectroscopy (MIR) and Food Science in the Public University of The main objective of this study was to use Navarra (Spain). She medium infrared spectroscopy as an alternative PROFILES & ABSTRACTS WG2 POSTER PRESENTER has participated in method to analyse meat tenderness, using 40 research projects instrumental techniques as references with public funding methods. Classification of the samples by and in 25 projects with ageing is explored by means of Principal private SMEs funding. Component Analysis (PCA) and discriminant She has published 70 papers in peer reviews, analysis. A total of 20 male beef belonging to more than 15 chapters in books and she has the “Ternera de Navarra-Nafarroako Aratxea” presented more than 100 proceedings to a label meat protected as geographical national and international congresses and indication (PGI) were used. The average weight she has directed more than 13 PhD students. at slaughter was 326 ± 24 kg and the average These projects have mainly been associated age was 379 ± 39 days. Samples of Longissimuss with the evaluation of meat quality and im- dorsi muscle between the sixth and eighth rib provement of meat products. These projects were used in this study. All samples were kept have also involved the evaluation of several at 4 oC and the ageing periods used were techniques for measuring carcass and meat 4, 6, 11 and 18 days from the slaughter. The quality, including ultrasounds, image analysis, texture analyses were performed by a Stable and colour measurements on the carcass to Micro System Model TA-XT2i texture analyser predict meat colour stability. More recently, (Stable Micro Systems, Godalming, England). she has been involved in projects to develop MIR spectra were collected using Fourier new meat products, with especial interest in transform mid-infrared (Vertex 80v, Bruker) improving the nutritional profile of intramuscu- between 4000-400 cm-1. All measurements lar fat. were performed with an Attenuated Total Reflectance accessory A225/QPlatinum-ATR (Bruker, Ettlingen, Germany) with a diamond crystal. The models were built by a Partial Least Square (PLS) regression and a specific program of chemometrics was employed, OPUS Quant v.7 (Bruker, Ettlingen, Germany). To evaluate the robustness of the models, the regression coefficients of calibration and validation were compared. Moreover, using SPSS v.20, samples were classified by the ageing period
Table 1. Classification of the meat samples at 4 and 18 days using the (Table 1). Further research would focus on spectral information (range: 1951 - 980 cm-1). the development of this technique to predict sensory scores and nutritional compounds.
Co-authors: Lozano, M., Echeverría, J., Rodriguez, P., Beruete, E., Beruete, M., Sarriés, M.V., Insausti, K.
Figure 1. Representative spectrum in the region between 1900 and 900 cm-1.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 96 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 97 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
Thierry Lhommeau – Institute for Pig & Pork Industry (IFIP), France
■ PROFILE ■ ABSTRACT (WG02P07)
Thierry Lhommeau Thermal imaging use for heat treatment works at IFIP since 8 qualification: the case of singeing years; he has been recently graduated We developed and validated a relevant and PROFILES & ABSTRACTS WG2 POSTER PRESENTER engineer in bioen- simple method of thermal image analysis in gineering. His main order to assess the variability of the surface interests are meat temperatures of pig carcasses at the singeing process technologies step of the slaughtering line, and its potential and muscle to meat impact on the bacterial decontamination. conversion. Thermal images of carcasses exiting singeing equipment were acquired in standardized conditions with an E60 FLIR® Camera in 4 Relevant publications: slaughterhouses. Conversion of the images was performed with the Flir Tool® software, Lhommeau T., Vautier A., Goujon J-M., and ImageJ© was used to treat and analyse Le Page R. Visible and Near Infrared the files with temperatures data. Three spectroscopy for PSE-like zones classification different thermal image treatments were at different post mortem times. Proceedings developed and compared for sets of 20 of the 61st International Congress of Meat carcasses: a method by line profile, in which Science and Technology, 23-28th August a standard segment is (manually) applied on 2015, Clermont-Ferrand, France. the back of each carcass from the tail to the neck, and the surface temperatures from this Vautier A., Lhommeau T., Daumas G. 2013. segment are analysed (Fig. 1). The second A feasibility study for the prediction of method was based on the superposition of the technological quality of ham with NIR the carcass images, to obtain an averaged spectroscopy. Proceedings of the EAAP, matrix of surface temperatures expunged Nantes. from movements and differences of shape or size of the carcasses. The third method uses Vautier A., Lhommeau T., Daumas G. 2013. the profile line method on the averaged matrix Near infrared spectroscopy (NIRS) as a tool obtained with the superposition method. Data for predicting the technological quality of analysis (mean, variance and distribution) ham. FAIM II second annual conference showed that the first method was the most KAPOSVAR, Oct. 29th-30th 2013, Hungary. appropriate in our project, and that sets of 5 carcasses were sufficient. The validated method was then applied to qualify the efficiency of singeing and its variability in the different slaughterhouses, and further assess its microbial impact.
Co-authors: T. Lhommeau, A. Le Roux, T. Péran, M. Monziols, and B. Minvielle. Ifip-Institut du porc, Le Rheu, France
Fig. 1: Individual temperatures file and its line profile analysis
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 98 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 99 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
Ana Catharina Batista – CECAV, UTAD, Portugal
■ PROFILE measured using a Minolta colorimeter CR-10. The CVS consists in a camera Olympus EM-5 Ana Catharina Batista with 16 Megapixel sensors equipped with an was born In Maceió, M. Zuiko ED 12-50mm f3.5-6.3 EZ lens at 24 mm Alagoas, Brazil and and open at f8 with a circular polarizer filter. went to the Univer- For illumination it was used an Olympus OM T28 PROFILES & ABSTRACTS WG2 POSTER PRESENTER sidade Federal de Macro Twin Flash with polarizer filters in both Alagoas (UFAL). At heads. The camera was mounted on a stand. UFAL she obtained All LM samples were placed in a frame with a his degree in Zootec- black opaque cloth. For image analysis it was nia, in 2011. Currently employed the Adobe Photoshop CS6 software. she is PhD student of The L*, a*, and b* values were measured the Animal Science Departament at Universi- on JPEG images. ANOVA and correlations dade de Trás-os-Montes e Alto Douro (UTAD) analysis were established. The results show and member of the Animal and Veterinary Re- significant differences (P<0.001) between the search Center (CECAV-UTAD). The main fields values obtained using the two equipments for of research interests are sheep and goats and the three parameters analysed. The brightness techniques to predict carcass and body ani- L* of the LD measured with the colorimeter mal composition. was higher (P<0.05) than that obtained using the CVS. The values of a* and b* were higher (P<0.05) when measured with the CVS. The ■ ABSTRACT (WG02P08) correlation coefficients between the colour Using a computer vision system for the parameters were significant (P<0.01) and determination of muscle longissimus dorsi higher than 0.8; with r = 0.842 for L*, r = 0.803 for colour in CIELab space a* and r = 0.850 for b*. The use of CVS allows a robust relationship for L*, a* and b* measured The meat colour evaluation is a subjective with colorimetric method. This work shows that human judgment which can be inconsistent. there is a relationship in parameters L*, a* and In general, the research conducted to b* obtained from the assessment of colour determine the colour of meat are performed on the surface of LD by both methods under using a colorimeter, however, the use of rapid study. Although differences in colour values and objective systems, such as those resulting between both methods, the use of a CVS is an from the evaluation of digital images, offer alternative method because is faster, versatile an consistent and non-destructive alternative and with low cost. meat colour determination. Thus, the objective of this work was to study the relationship Co-authors: between the colour values in the CIELab space A.C.S. Batista1, C.M. Guedes1, A.M. Jorge2, obtained by a colorimeter and a computer J.H. Almeida1, V.C. Santos1, A. Teixeira3, S.R. vision system (CVS). Forty five samples of Silva1 Longissimus dorsi (LD) muscle obtained from the lumbar region of carcass steers with 1. CECAV, UTAD, Vila Real, Portugal; 254±36 kg cold carcass weight were used. The 2. FMVZ/UNESP, Botucatu, Brazil; colorimetric characteristics L* (lightness), a* 3. CECAV, ESA-IPB, Bragança, Portugal (from green if negative to red if positive) and b* (from blue if negative to yellow if positive) were
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 100 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 101 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
Adam Stuart – AgResearch, New The ability to grade lamb carcasses based on Zealand meat quality parameter(s) that are demanded by the customer and consumer is critical and would allow the industry to: 1. Target carcasses ■ PROFILE for specific market requirements; 2. Market lamb based on measurable quality parameters Adam Stuart holds a for increased product differentiation; 3. Inform Bachelor of Environ- the value chain of the impacts of management mental Sciences from and breeding decisions on lamb product The University of Wai- quality for continual improvement.
PROFILES & ABSTRACTS kato and is a senior WG2 POSTER PRESENTER meat technician with Routine measures of meat quality that are over 10 years’ expe- safe, objective, rapid, non-destructive, and rience working in the real-time are required to enable lamb meat Food Assurance & quality assessment at processing. The latest Meat Quality team at AgResearch, Ruakura in spectral imaging technologies including New Zealand. Adam has extensive experience Hyperspectral Imaging (HSI) and Visible-Near in meat quality assessment and has contribut- Infrared Spectroscopy (NIRS) are well suited ed to numerous meat science projects. Adam to this application, but remain largely un- is currently undertaking a Masters project in tested in a lamb processing environment. Food Technology at Massey University and This current research overview outlines an on- AgResearch focused on proof-of-concept going work plan to evaluate spectral imaging evaluation of Hyperspectral Imaging and Near technologies and their suitability for assessing Infrared Spectroscopic technologies for use in lamb meat quality on the production chain. an on-line system for assessment of lamb meat An assessment of these technologies will be quality. Adam’s research is industry-funded by undertaken by testing their ability to predict Beef + Lamb New Zealand Genetics Limited. intramuscular fat content, intramuscular fat composition, tenderness, colour and pH Relevant publications: through calibration and validation studies Kim, Y. H. B., Stuart, A., Rosenvold, K., & involving >1,500 lamb loins. Maclennan, G. (2013). Effect of forage and retail packaging types on meat quality of The overall objective of this project is to long-term chilled lamb loins. Journal of Animal investigate the feasibility for real-time non- Science, 91(12), 5998-6007. destructive prediction of meat tenderness, Wiklund, E., Dobbie, P., Stuart, A., & Littlejohn, pH, colour, intramuscular fat content and R. P. (2010). Seasonal variation in red deer fat composition of lamb loins at 24 hours (Cervus elaphus) venison (M. longissimus post mortem in three commercial meat dorsi) drip loss, calpain activity, colour and processing plants. Data from 2500 lambs has tenderness. Meat Science, 86(3), 720-727. been collected so far and currently we are Farouk, M. M., Beggan, M., Hurst, S., Stuart, A., investigating automated selection of “region of Dobbie, P. M., & Bekhit, A. E. D. (2007). Meat interest” (ROI) that we plan to use in the future quality attributes of chilled venison and beef. for the implementation of an online system. Journal of Food Quality, 30(6), 1023-1039. The progress to date of this investigation will be discussed. ■ ABSTRACT (WG02P09) Co-authors: Real-time non-destructive spectral imaging M.M. Reis1, C.R. Craigie1, P. Johnson1, M. Tate2, technologies to determine lamb quality G. MacLennan3, G. Milne3, S. Lindsay3, J. Phillips3, A.K. Thompson4 Producing and supplying high quality lamb meat to market is a key goal of the New 1. AgResearch Limited, Ruakura Research Zealand lamb value chain. At present, the Centre, 10 Bisley Road, Private Bag 3123, measurement of meat quality attributes 2. Tate and Matthews Ltd, 686 Lower Sefton is unsuitable for routine application in Road, RD7 Rangiora,7477, New Zealand; processing plants and there is no suitable tool 3. Alliance Group Limited, 51 Don Street, PO to assist the value chain to capture value from Box 845, Invercargill 9840, New Zealand; superior quality lamb, and improve product 4. Riddet Institute, Massey University, Private consistency. Bag 11222, Palmerston North, New Zealand.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 102 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 103 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
Severiano Silva – CECAV, UTAD, Portugal
■ PROFILE sheep before slaughter improves carcass characteristics and meat quality. This can be Severiano Rocha e utilized for the culled sheep, particularly the Silva was born in Bal- younger individuals, to increase value of the tar, Porto, Portugal carcass and primal cuts and improve the meat and went to the Uni- quality. It is recognized that intramuscular fat (IMF) plays an important role in sheep meat
PROFILES & ABSTRACTS versidade de Trás-os- WG2 POSTER PRESENTER Montes e Alto Douro quality but very little information is available (UTAD). At UTAD he concerning this trait in cull sheep. Therefore, obtained his degree the objective of this study was to determine the in Animal Science, in effect of body condition on LM intramuscular 1987. After doing his fat and adipocytes diameter in culled ewes. military service in 1989 he became Assistant at Longissimus thoracis et lumborum muscle (LM) UTAD and in 2001 obtained his PhD degree in samples from lumbar (LML) and thoracic (LMT) Animal Science. Currently he is Associate Pro- cuts of 45 ewe carcasses (18±3.7 kg) were used. fessor of the Animal Science Department at The IMF chemical content of LM samples was UTAD and member of the Animal and Veteri- obtained in triplicates after ether-extraction nary Research Centre (CECAV-UTAD). The main in a Tecator Soxtec HT 1043 using petroleum fields of research interests are animal welfare ether as solvent. For adipocytes diameter (AD) and techniques to predict carcass and animal fat tissues were fixed for 24 h in Bouin fluid, body composition. He has authored and co- dehydrated and embedded in paraffin. The authored several scientific articles and book samples were sectioned (5μm thick), stained chapters. with haematoxylin and eosin and observed at 20X magnification in a microscope equipped Relevant publications: with a camera (Nikon FXA). Digital images were analysed with the ImageJ for AD Silva, S.R., Cadavez, V.P., 2012. Real-time determination. The IMF and the AD in both ultrasound (RTU) imaging methods for quality lumbar regions are similar (P>0.05). IMF range control of meats. In Computer vision tech- from 1.3 to 9.3% and AD range from 25.6 to nology in the food and beverage industries. 111.3 µm. Regarding the variation of body Editor Da-Wen Sun. Woodhead Publishing, condition differences were observed for both Cambridge, UK. 277-329. IMF and AD. A positive correlation between IMF and AD and carcass, subcutaneous and Francisco, C.L., Jorge, A.M., Dal-Pai-Silva, M., intermuscular fat was observed (r between Carani, F.R., Cabeço, L.C., Silva, S.R. 2011. 0.78 to 0.82, P<0.01). The body condition of Muscle fibre type characterization and myo- culled ewes influences IMF and AD which may sin heavy chain (MyHC) isoform expression have impact on meat quality. Further studies in Mediterranean buffaloes. Meat Science, must detail this impact on meat quality traits in 88:535-541 order to establish a carcass fat limit to optimize quality and cost.
■ ABSTRACT (WG02P10) Co-authors: 1 1 1 Intramuscular fat and adipocytes diameter in S. R. Silva , A. C. S. Batista , C. M. Guedes , 1 2 1 the longissimus thoracis et lumborum muscle J. Azevedo , M. Monteiro , V. C. Santos , A. 2 from cull ewes with different body condition Teixeira
In sheep production culled animals represents 1. CECAV, UTAD, Vila Real, Portugal; 10-20% of all effective. In general the carcasses 2. CITAB, UTAD, Vila Real Portugal from the culled sheep have very low consumer 3. CECAV, ESA-IPB, Bragança, Portugal acceptability. In recent years some strategies have been conducted to increase value of those carcasses. On other hand it is recognized that increasing the nutritional plane of cull
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 104 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 105 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
Violeta Razmaitė – ASI of LUHS, Lithuania
■ PROFILE ■ ABSTRACT (WG02P11) Intramuscular fat quality indices of farm and She obtained a PhD wild animals in relation to healthy nutrition degree in Agricultural Sciences in 1986. The Meat has distinct characteristics, fat main fields of research composition and quality indices which
PROFILES & ABSTRACTS interests are pig pro- WG2 POSTER PRESENTER differ between animal species, breeds and duction, meat quality production systems. The PUFA/SFA and n-6 and conservation of PUFA/n-3 PUFA ratios in IMF as measures of farm animal genetic the propensity of the human diet to influence resources. She is the the incidences of diseases could be added author and co-author by lipid quality indices of atherogenicity (AI), of numerous scientific peer-reviewed papers. thrombogenicity (TI), hypocholestero-lemic/ She has been work package leader of many hypercholesterolemic ratio (h/H). The aim national research projects. Currently she works of the study was to determine the fatty acid on a national project “Quality of meat of farm composition and cholesterol content in the and wild animals from different rearing systems meat of various domestic and wild animal in relation to healthy nutrition” and internation- species pertaining to different production al H2020 project Treasure. systems in Lithuania. The most favourable PUFA/SFA ratio was found in the intramuscular Relevant publications: fat of the brown hare (1.39) followed by beaver (1.28), roe deer (1.12), red deer (0.85), wild Razmaitė V., Šveistienė R., Švirmickas G. J. boar during winter hunting season (0.76) and Compositional characteristics and nutritional rabbit (0.76), whereas the most favourable quality of Eurasian beaver (Castor fiber) lowest n-6 PUFA/n-3 PUFA ratio was in the horse meat. Czech Journal of Food Science. 2011. meat (0.72) followed by the brown hare (1.4), Vol. 29(5). P. 480-486. beaver (2.19), free living red deer (2.33) and roe deer (2.89). The lowest AI was shown by Razmaitė V., Švirmickas G. J., Šiukščius A. the goose (0.26) and roe deer (0.33) muscles Effect of weight, sex and hunting period on followed by wild boar (0.38) and beaver fatty acid composition of intramuscular and (0.41), whereas the lowest TI was found in the subcutaneous fat from wild boar. Italian meat of the brown hare (0.40) followed by Journal of Animal Science. 2012. Vol. 11. No 2. the horse (0.46), beaver, roe deer and goose. P. 174-179 The highest and most favourable h/H ratio was estimated in the roe deer and goose Razmaitė V. and Švirmickas G. J Fatty acid (3.3) muscles followed by beaver (2.72), wild composition in hybrid pigs as based on local boar and brown hare. However, the lowest fatty Lithuanian breed and wild boar. Food cholesterol (39.9 mg/100g) was detected in Science and Technology International. 2012. the longissimus muscle of pigs, whereas the Vol. 18(6) P. 515–522. cholesterol content in the same muscle of the rabbit, red deer and brown hare was 42.7, 48.1 This research work was funded by a grant No and 63.1 mg/100 g, respectively. SVE-07/2012 from the Research Council of Lithuania Co-authors: R. Šveistienė, A. Šiukščius, S. Bliznikas, G.J.Švirmickas. Animal Science Institute of Lithuanian University of Health Sciences
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 106 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 107 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
Martina Gondeková – Animal Production Research Centre Nitra, Slovak Republik
■ PROFILE ■ ABSTRACT (WG02P12)
Martina Gondeková Meat and sensory quality of different cattle graduated with Ing. categories in Slovakia (Hons) in Scientific
PROFILES & ABSTRACTS The aim of the study was to compare quality WG2 POSTER PRESENTER Nutrition of Human at Slovak Agricultural of beef related to different categories of University in Nitra in cattle slaughtered in 2010-2012. Meat samples 2001, followed a were taken from 181 cows, 78 bulls and 41 PhD (2011) from the heifers. The place of sampling was MLD (9/11 same University. The rib) approximately 800/1000g from the right topic of the PhD study was Carcass quality, nu- side of the carcass 48h pm. The chemical tritional, physico - technological and sensory composition, measurements of colour, pH48, quality of musculus longissimus dorsi of slaugh- water holding capacity were performed within tered cows. Since 2007 she has been working 48 hours p.m. Degree of marbling using a 10- as a scientist at the Research Institute for Ani- point scale (1-very abundant to 10-practically mal Production in Nitra (RIAP), at the Depart- devoid) was determined. 7 days after slaughter ment of Institute of Animal Husbandry Systems, a consumer test and measurement of shear Breeding and Product Quality. force and drip loss was performed. The samples were sliced into 2.0 cm thick steaks and grilled Her scientific work is based on assessment of for 4 minutes. Sensory traits (odour, taste, carcass and meat quality of pork and beef. tenderness and juiciness) were evaluated by She has been involved in the project con- 5-point scale (1-the worst). Comparison of the cerned the alternative methods to surgical cattle categories suggested significant higher castration of pigs with regard on consumer’s total water content in meat of bulls than the acceptability and economics of production. other two groups (P<0.05). The content of Project includes ultrasound, chemical and intramuscular fat was statistically higher in sensory meat quality tests. She is part of early meat of cows and heifers than in bulls (3.54 and stage researchers group (ESR = from PhD until 3.49 vs. 1.98 %, P<0.05). Statistically significant 8 years after) and she has published 6 papers differences were found in pH48, colour in peer reviewed journals. lightness L and drip loss (P<0.05). Cows had the darkest meat and together with heifers had Relevant publications: significantly lower degree of marbling than bulls (7.92 and 7.90 vs. 8.5, P<0.05). Sensory RM. Gondeková, I. Bahelka, K. Zaujec, P. evaluation of the organoleptic qualities Polák: Evaluation of quality acceptance showed statistically significant differences of cow´s meat in respect to certain social between cows and bulls in taste and odour aspects of consumers. Slov. J. Anim. Sci., 47/2 (P<0.05). Generally, the best evaluation of all (2014), p. 105-110. parameters was found in meat of bulls.
K. Zaujec, M. Gondeková: Marbling of meat Co-authors: I. Chemical and physico-technological I. Bahelka, P.Polák parameters of cows´meat. Slov. J. Anim. Sci., 44/4 (2011), p. 162-166.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 108 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 109 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG2 Poster Presenter Profiles & Abstracts
Daiva Ribikauskiene – Lithuanian University of Health Sciences, Lithuania ■ PROFILE ■ ABSTRACT (WG02P12)
Daiva Ribikauskiene Fatty acid composition of the Longissimus dorsi studied Veterinary muscle and subcutaneous fat of different pig medicine at the Lith- breeds uanian Veterinary PROFILES & ABSTRACTS WG2 POSTER PRESENTER Academy, Lithuania The amounts of n-3 (C18:3, C22:6) and n-6 from 1990-1995. She (C18:2, C20:3, C20:4, C22:4) fatty acids in the finished her doctorate meat and subcutaneous fat of various pig thesis in 2001. Doctor- breeds were defined. Three groups of different al thesis: “The effects pig breeds were formed: group 1 comprised of crossing Lithuanian of Lithuanian White (commercial type), white pigs with different genotype boars on group 2 was made of Yorkshire and group lean meat content and meat quality of cross- 3 Landrace pigs. The content of fatty acids breds”. The main fields of her research inter- was analysed at the Analytical Laboratory est are animal breeding, carcass and meat of the Institute of Animal Science of LUHS. quality. She participates in the nation research The subcutaneous fat of the Yorkshire breed programme “Healthy and Safe Food“ (2013- was biologically more valuable. It contained, 2015) and international projects “Study on respectively, 0.6 and 4.3% (P<0.001) more Education and information activities in Animal indispensable polyunsaturated fatty acids Welfare” (acronym: EDUCAWEL, EC DG SAN- (PUFA) compared with the subcutaneous fat of CO, 2013-2014), “Organic Dairy Health”, (FP7, Landrace and Lithuanian White (commercial 2014-2016). She published more than 30 scien- type) pigs. However, the intramuscular fat in tific papers. M. Longissimus dorsi of the Yorkshire breed had the lowest (12.3%) PUFA amount. The Relevant publications: amount of PUFA in the lipids of Landrace pig meat was 3.6 and 3.9% (P<0,025) higher Ribikauskienė D., Razmaitė R., Stimbirys A. than that in Lithuanian White (commercial Influence of carcass weight and fatness type) and Yorkshire intramuscular fat. The on precision of lean meat prediction in Landrace breed showed a more favourable the carcasses. Veterinary Medicine and n-6/n-3 ratio than the Yorkshire and Lithuanian Zootechnics. Lithuania. 47(69), 2009, P.71-75. White, and it exceeded current nutritional recommendations. According to the total Macijauskiene V., Ribikauskiene D. Meat amount of saturated and polyunsaturated quality differences between purebred and fatty acids in intramuscular fat of M. Longissimus crossbred New Zealand rabbits. Acta Biol. dorsi and subcutaneous fat, Lithuanian White Univ. Daugavp., Latvia. 10(2), 2010, P. 177 - had more saturated (P<0.05 - P<0.025) and 181. less polyunsaturated (P<0.025 - P<0.005) fatty acids than Yorkshire and Landrace breeds. Razmaite V., Ribikauskiene D. and Stimbirys The generalisation of the data indicated, that A. Effects of carcass weight on major the meat of Landrace pigs is more valuable carcass cuts, their composition, and meat if compared with other breeds and the in Lithuanian slaughter pig population. Acta subcutaneous fat is more valuable than that Veterinaria (Beograd, Serbia). Vol. 61, No. 2-3, of the Yorkshire pig breed. 2011, P. 259-268.
Razmaitė V., Ribikauskienė D., Šveistienė R. Meat quality in Lithuanian commercial pigs of different leanness. Veterinary Medicine and Zootechnics. Lithuania. 65(87), 2014, P. 68-71.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 110 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
WG2 POSTER PRESENTER PROFILES & ABSTRACTS
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 111 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG3 Speaker Profiles & Abstracts
Thomas Jørgensen – Technical University of Denmark
■ PROFILE ■ ABSTRACT (WG03T01)
Thomas graduated Artefact removal in Differential Phase Contrast with a MSc. in Electri- X-ray Computed Tomography cal Engineering (1989) WG3 SPEAKER and a PhD in Optical The novel imaging modalities of X-ray computed tomography have recently gained
PROFILES & ABSTRACTS Physics (1992), both from The Technical increased attention in the area of food science. University of Den- The additional contrast obtained using phase mark. Thomas Mar- contrast or dark field imaging (as opposed to tini Jørgensen is today absorption) opens up for new applications working as a senior of CT scanning. This includes quality testing researcher at the Department of Applied of porcine fat and rind, detection of foreign Mathematics and Computer Science of the bodies in food, and distinguishing raw food Technical University of Denmark. He is presently from frozen. In addition there are currently participating in the NEXIM project (New X-ray research efforts to implement robust online Imaging Modalities for safe and high quality CT scanners that could operate at cutting Food) funded by The Danish Council for Stra- lines at pig slaughterhouses. Measurements tegic Research. His current focus of research should result in the spatial distribution of meat, is on image analysis and machine learning fat and bones and deliver an optimal recipe but he has many years of experience within for automatic cutting of pork middles. With the area of biomedical optics and biosensors. such systems the capacity becomes more He has published 61 peer-reviewed papers, important than the obtained image resolution 6 book chapters, and > 50 conference pro- and quality. The handling of image artefacts ceedings. can especially play a crucial role for the resulting performance of such a system.
Here we suggest a novel method for dealing with the so-called ring artefacts in Differential Phase Contrast X-ray CT (DPC-CT). We compare the performance of our method with state-of-the art algorithms applied to DPC-CT tomograms of meat samples. We also illustrate how we might suppress image distortions that occur as spurious spatial variations in the measurement values across the scanned volume.
Co-authors: F. AL-tam1 and V. A. Dahl2
1. Universidade do Algarve, Faro, Portugal 2. Technical University of Denmark, Denmark
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 112 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG3 SPEAKER SPEAKER WG3
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 113 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG3 Speaker Profiles & Abstracts
Harvey Ho – Auckland Bioengineering Institute (ABI), New Zealand
■ PROFILE ■ ABSTRACT (WG03T02) Harvey Ho received Generic Software Modules for the Meat
WG3 SPEAKER his PhD in Bioengineer- Industry ing from the University
PROFILES & ABSTRACTS of Auckland in 2010. Large amounts of data in the meat industry, He is now a Research sourcing from abattoirs, production lines, Fellow in the Auckland laboratories and markets need to be analysed Bioengineering Insti- to serve customer requirements and marketing tute (ABI), where he is strategies. These data exist in different forms involved in the R&D of and formats, from ASCII text files, Word and multiple biomedical and agricultural projects. Excel files, to images and even 3D models. His research interests include medical image A software framework containing generic computing, 3D re-construction, biomechan- software modules for database, statistical ics and devices. He has published 29 peer- analysis, image processing and 3D modelling reviewed research papers on medical image can be quickly customised to address specific computing and physiological flow analysis, problems and to add value to the meat including those published in top medical im- industry. We propose such a framework which aging and biomedical engineering journals. is based on open source software and has From 2013-2015 Harvey was the manager of been successfully applied to the Silver Fern a lamb carcass modelling project in collabo- Farms lamb carcass modelling project. A brief ration with Silver Fern Farms, New Zealand’s description of the main modules: leading procurer, processor and marketer of sheep, lamb, beef and venison. Currently he • Database system: SQLite is used to provide also collaborates with experts in other meat the underlying database system. SQLite is industry sectors. serverless and compact, and this allows for easy distribution of the heterogeneous data.
• 3D modelling: OpenCMISS-Zinc is utilised to display and manipulate graphics. The Python bindings of this package allow for the work done in CMGUI to be used in the new software.
• Image processing: Java-based ImageJ is used to test image filters and pipelines. The algorithms are then implemented in Scikit-image in the Python programming environment.
• Statistical analysis: R is used for statistical analysis of the carcass data. The equations from the regression analysis performed are implemented in the Python application.
• Graphical User Interface (GUI): The Python bindings of the Qt framework allow for simple yet comprehensive representations of complex modelling concepts and features.
Co-authors: H. Ho, M. Gruchet, J. Sun, P. Hunter
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 114 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG3 SPEAKER SPEAKER WG3
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 115 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG3 Speaker Profiles & Abstracts
György Kovács – Analytical Minds Ltd., Hungary
■ PROFILE regression does not take into account that the training vectors are histograms. PLS regression György Kovács has does not satisfy the natural expectation that obtained the MSc. the higher the density of a voxel is, the higher degree in Computer
WG3 SPEAKER its contribution to the overall weight should Science (2007), in be. Thus, PLS regression is likely to overfit the
PROFILES & ABSTRACTS Applied Mathematics prediction model to the training data. (2012) and in Physics (2014) at the Univer- Materials and methods: sity of Debrecen. He Based on the simple and natural expectation is a PhD-student in the on the proportionality of density to the overall Discrete Mathemat- weight, we have developed some novel ics, Image Processing regression techniques for the prediction and Computer Graphics PhD program at the of weights from histograms. The proposed University of Debrecen. His main research in- methods have been applied to several terests include medical image analysis with histogram based weight prediction problems statistical approaches, tomographic image and the results have been compared to that reconstruction (CT, PET, MRI) techniques, pat- of PLS regression. tern recognition, machine learning and 3D stereoscopic reconstruction. He has attended Results: several conferences and summer schools re- In several cases the proposed regression lated to image processing and computer vi- techniques have had lower mean square sion, and published papers in peer reviewed errors than PLS regression. We can conclude journals. Currently he is the CEO of the Ana- that the consideration of alternative regression lytical Minds Ltd. providing pattern recognition techniques can improve the accuracy of solutions in various R+D projects. certain studies in farm animal imaging.
■ ABSTRACT (WG03T03) References: [1] C. A. Glasbey and C. D. Robinson, Introduction: “Estimators of tissue proportions from x-ray CT In computed tomography (CT) aided studies images”. Biometrics. 58:928-936, 2002. of farm animals a common goal is to carry out [2] M. Font I Furnols, A. Brun, N. Tous and CT based weight prediction of various tissues, M. Gispert, “Use of linear regression and organs and body parts. The input of prediction is partial least square regression to predict usually a (manually or automatically selected) intramuscular fat of pig loin computed region of the volumetric CT image and some tomography images”, Chemometrics and previously trained regression technique is Intelligent Laboratory Systems, 122:58-64, used to assign a weight value to the region of 2013. interest. In the most basic form of prediction, [3] M. Font I Furnols, M. F. Teran and M. Gispert, the volume of the region is determined and “Estimation of lean meat content in pig multiplied by the mean density of the tissues carcasses using X-ray computed tomography covered by the region. The precision of and PLS regression”, Chemometrics and prediction can be improved by extracting the Intelligent Laboratory Systems, 98:31-37, 2009 histogram of densities in the region of interest and applying advanced regression techniques Co-authors: on the histogram vector. In the last decades Gy. Kovács1, T. Donkó3, M. Emri2, G. Opposits2, several techniques have been developed for R. Garamvölgyi3, G. Bajzik3 weight prediction, an overview can be found in [1]. Nowadays the state of the art regression 1. Analytical Minds Ltd. technique used for weight prediction is Partial Least Squares (PLS) regression. In this work we 2. University of Debrecen, Debrecen, examine some alternatives of PLS regression Hungary for weight prediction. Although PLS regression handles the multi-colinearity of histogram 3. Kaposvár University, Kaposvár, Hungary bins, it has some weaknesses, particularly, PLS
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 116 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG3 SPEAKER SPEAKER WG3
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 117 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG3 Speaker Profiles & Abstracts
Daniel Caballero – University of Extremadura, Cáceres, Spain
■ PROFILE ■ ABSTRACT (WG03T04)
Daniel Caballero was From 2D to 3D texture features on MRI to born in Madrid, Spain, analyse Iberian loin in 1985. He received WG3 SPEAKER his B. Sc. and M. Sc. In the last decade, the use of computational texture features from bi-dimensional (2D) PROFILES & ABSTRACTS degree in 2013, both in computer science images is very common in order to determine engineering from the parameters related to food quality. In University of Extrema- this sense, texture analyses on Magnetic dura. Currently, he is Resonance Imaging (MRI) have been used a researcher in Animal source foodstuffs in- frequently to predict quality traits of meat novation services (SiPA). He is working on his products. Research into the development doctoral thesis in Computer Science enrolled of appropriate techniques for evaluating 3D in the Technology and Quality of Food (TECAL) objects and scenes is being pursued. MRI allows research group of the Research Institute of volumetric scans, however, the extraction of Meat and Meat Product (IproCar) from the features from MRI are only carried out by sets University of Extremadura. of 2D images. The use of 2D images to analyse the quality of Iberian loin has been validated His research interests are focused in the area in previous studies. The aim of this work was to of image and data analysis applied to meat compute volumetric (3D) textural features and products. Special interest lies on the applica- evaluate their performance in comparison tion of non-destructive techniques such as to classical 2D approaches. For that, 10 loins Magnetic Resonance Imaging employing tex- were scanned obtaining 2D MRI images. ture features and predictive models based on Then, 3D images were generated from 2D MRI data mining to obtain quality parameters of through an interpolation and reconstruction meat products. process. The 2D and 3D computational texture feature algorithms were applied to extract Relevant publications numerical data. To validate the proposed 3D texture approach, correlation between Pérez-Palacios, T., Caballero, D., Caro, A., values of the texture features obtained by 3D Rodríguez, P. G., and Antequera, T. 2014. and 2D methods were determined. 14 of 26 Applying data mining and Computer Vision computational texture features reached very Techniques to MRI to estimate quality traits in good to excellent correlation (R>0.75), and 6 of Iberian hams. Journal of Food Engineering, them achieved good to very good correlation 131, 82-88. (R>0.5). In conclusion, volumetric textural features have shown similar performance as Caballero, D., Caro, A., Pérez-Palacios, their 2D counterparts, since they achieved T., Rodríguez, P. G., and Palacios, R. 2014. high correlation coefficients. In addition, Prediction of quality features in Iberian it is therefore indicated that the studied ham by applying data mining on data methodology for extracting 3D textures could from MRI and Computer Vision Techniques. be useful in order to determine quality traits of International Journal of Data Mining and loins. Knowledge Management Process, 4 (2), 1-11. Co-authors:
Ávila, M. M., Caballero D., Durán, M. L., Caro, A.Caro, M. Avila and T. Antequera. IproCar, A., Pérez-Palacios, T., and Antequera, T. 2015. Research Institute of Meat & Meat Product, Including 3-D textures in a Computer Vision University of Extremadura, Cáceres, Spain. System to analyse quality traits of loin. In 10th International Conference on Computer Vision Systems 2015, Copenhagen, Denmark.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 118 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG3 SPEAKER SPEAKER WG3
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 119 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG4 Speaker Profiles & Abstracts
Elly Navajas – National Agricultural Research Institute, Uruguay
■ PROFILE ■ ABSTRACT (WG04T01) I graduated from the Farm-to-fork individual traceability in Uruguay: Universidad de la applications in animal production and República (Uruguay) breeding as Engineer in WG4 SPEAKER Agriculture. In 1994, I Uruguay has implemented a national cattle
PROFILES & ABSTRACTS started my career as traceability system from farm of origin to researcher in Animal final cut by integrating two existing schemes: Genetics and Genet- the Traceability Program managed by the ic Improvement, and National Livestock Information System (SNIG Meat Science. After ɸ) at the Ministry of Agriculture (MGAPɸ) and completing my MSc degree at Massey Uni- an Electronic Information System of the Meat versity (New Zealand), I moved to Edinburgh Industry (SEIICɸ) ordered by Government in 2002 where I got a position as Scientist at to be implemented in all abattoirs. This the Scottish Agricultural College. Simultane- comprehensive traceability system allows the ously, I completed my PhD degree in Ani- access to the information on date and place mal Breeding and Genetics at the University of birth, sex, breed, physical movements within of Edinburgh. national borders, changes of ownership, date and place of slaughter/death. For those animals Since 2011, I am a senior researcher working that are slaughtered, it is also complemented at the National Agriculture Research Institute by carcass weights and quality data (INIA-Uruguay) dedicated to the integration of recorded by SEIIC. Based on scales located genomics into the livestock breeding pro- along the slaughter and processing lines, it grammes, with focus on carcass and meat automatically records carcass weights and quality and other “non-traditional” eco- primal and retail cuts weights. Originally, SNIG nomically traits, such as feed efficiency and and SEIIC databases worked independently methane emissions. because they were created and defined for different purposes: disease management, and From the very beginning, the development monitoring taxes information, respectively. and calibration of novel objective and ac- Nowadays, both databases are linked and curate methods to assess difficult-to-measure it is possible to have all animal information traits have been included in the research work. using the animal identification number. The The powerful tools available for data record- National Traceability Systems provides a ing and analysis provide a great potential unique opportunity to collect large volume of for new developments and applications. carcass and cut data at national level, which can be use with different goals. One of the first I have been involved in many activities approaches is building the training populations in different countries: undergraduate and for genomic selection of carcass quality. graduate lecturing at the Faculties of Vet- Solving the challenges of this implementation erinary and Agronomy in Uruguay, invited lec- is one the objectives of a large project carried turer of the University of São Paulo (Brazil) and out by public and private partners with the aim the University of Concepción (Chile); con- of implementing genomic selection by 2017. sultancies in animal genetic improvement and genomics; participated in 15 research Co-authors: projects, national and international, leading 5 D. Abraham1, G. Dassatti1, M.M Mondelli2, M.I of them, with 32 peer-reviewed articles, 6 Pravia3 and R. Robaina4. chapters in books and 75 presentations in congresses and workshops. 1. SEIIC 2. OPYPA 3. INIA 4. INAC
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 120 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Notes
PROFILES & ABSTRACTS WG4 SPEAKER SPEAKER WG4
FAIM IV:FAIM FOURTH III: T hirAnndua Annl Cuaonl fereConnferece onnce B odyn B aonddy Candarcass Carcass Eval uatioEvaluation, Meatn, M Qeatua lQituay, Sloftity, wSoftare- 121 and Traceabilitwy.are ed ianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 WG4 Poster Presenter Profiles & Abstracts
Andrew Moxey – ScotEID, UK
■ PROFILE ■ ABSTRACT (WG04P01) ScotEID is a part- Electronic Tracing of Livestock in Scotland nership between the Scottish Government O: The aim is to utilise applied R&D in modern and its livestock in- data systems to meet the need for more dustry to develop a accurate and faster tracing of animals through multi-species data sys- their various supply chains, in a manner PROFILES & ABSTRACTS WG4 POSTER PRESENTER tem based on elec- that meets regulatory requirements and is tronic identification understood and accepted by industry. (EID). The system cur- rently provides real time traceability for sheep B: The introduction of mandatory EID for sheep and pigs plus registers of sheep and pigs and and the impending introduction of voluntary BVD status of cattle. Sheep recording is fully EID for cattle across the EU has prompted automated from farm through markets to ab- government and industry to seek workable attoirs, utilising low frequency (LF) EID. ScotEID EID applications. ScotEID was created as a is currently conducting research into cattle vehicle for developing and implementing EID, including ultra high frequency (UHF) appli- practical solutions to suit the varying needs of cations, with a focus on using dual LF-UHF tags different users. and readers to offer flexibility to users across the supply chain. M&M: A combination of testing under controlled (workshop) and commercial (field) conditions ScotEID has been running since 2008 and has been used to configure hardware, proactive engagement with stakeholders has software and management procedures across been used throughout to conceptualise, design the supply-chain. Feedback from users has and test EID solutions. In particular, volunteer been used to improve hardware, software, partner farms, marts and abattoirs have management procedures and governance been involved in the process of developing protocols. hardware, software and management procedures. Hardware components and R&C: EID for livestock traceability is achievable. equipment (i.e. antennae, transponders, However, care has to be taken over the choice readers and tags) have been sourced from a and configuration of hardware and in designing variety of commercial providers. Software for software and management procedures to the database has been written in-house using suit diverse local circumstances. This means open source standards, as have the numerous offering users some flexibility in how they use interfaces with the different hardware (e.g. EID, including a choice between LF or UHF. readers) and proprietary management Moreover, traceability depends on the ability software (e.g. farm recording systems) in use and willingness of users to share information across the industry. in a timely and accurate manner and this depends on more than simply technological In addition, considerable attention has been choices – it depends crucially on governance paid to establishing clear protocols for how arrangements for how data are held, shared livestock data owned and provided by and used. individuals are held centrally and shared for use by other parties. Equally, negotiation has been Contributing staff: John Hotchin, Andrew required to explore the implications and rigidity Moxey, Hamish Stuart and Bob Yuill. of various regulations and standards relating ScotEID, Unit 28, Huntly Business Centre, to tagging and livestock identification. 83 Gordon Street, Huntly. AB54 8FG. UK. Tel: +44 (0)1466 794 323 Recent documentation includes: Email: [email protected] ScotEID (2015) Bovine EID numbering. Web: www.scoteid.com ScotEID (2015) Phase 4 Report. ScotEID (2015) Co-existence of LF & UHF in dual-technology tags.
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 122 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Electronic Tracing of Livestock in Scotland PROFILES & ABSTRACTS
John Hotchin, Andrew Moxey, Hamish Stuart and Bob Yuill SPEAKER WG4
Introduction Discussion
ScotEID, a partnership between the Scottish Government and the A number of k e y points emerge from the process of identifying and livestock industry, is the Scottish multi-species data system providing implementing practical EID solutions across a diverse sector with real time traceability for sheep and pigs plus registers of sheep and many reluctant adopters. pigs and BVD status of cattle. Sheep recording is fully automated from First, the technical performance of EID hardware is highly variable – farm through markets to abattoirs, utilising LF EID. ScotEID is currently the quality and design of tags and readers makes a difference. conducting research into cattle EID with a focus on using dual LF-UHF Moreover, the absence of standardised outputs from EID readers or tags and readers to offer flexibility to users across the supply chain. existing proprietary (local) recording software means that considerable effort is required to ensure cross-compatibility. across different combinations of existing set-ups (e.g. operating systems, management software). Consequently care has to be taken in the choice and configuration of equipment in relation to the demands placed upon it and compatibility with pre-existing management systems (both procedural and software). Second, UHF has considerable merit as an alternative to conventional or advanced LF for Methods cattle EID – faster reading at a greater distance offers time savings and a reduction in health & safety ScotEID has been running since 2008 and proactive engagement with risks (i.e. beef cattle unused to stakeholders has been used throughout to conceptualise, design and human handling have less need to test EID solutions. In particular, volunteer partner farms, marts and be physically restrained to be abattoirs have been involved in the process of developing hardware, read). Potential performance software and management procedures. Hence research has been conducted under both controlled workshop conditions and more impairment arising from signal blocking by animals’ body tissue variable and challenging commercial field conditions. Hardware and/or wet conditions has not been detected in field trials and components and equipment (i.e. antennae, transponders, readers and many users report a preference for UHF. tags) have been sourced from a variety of commercial providers. Third, traceability depends upon the willingness and capability of Software for the database has been written in-house using open livestock keepers to record and share information in a timely and source standards, as have the numerous interfaces with the different accurate manner and upon how such data are held and analysed. hardware (e.g. readers) and proprietary management software (e.g. The latter requires a consolidated central database, but also clear farm recording systems) in use across the industry. Although EU governance arrangements (e.g. protocols for the sharing, control, regulatory requirements restrict sheep EID to Low Frequency (LF) processing and protection of data) as to who owns the data and systems, Ultra High Frequency (UHF) remains a possibility for cattle how they are to be used (e.g. statutory reporting, regulatory and is currently undergoing field trials. inspection and enforcement, food chain quality assurance, academic analysis) plus realistic expectations of system performance and pragmatic procedures for handling data imperfections. Appropriate governance engenders trust and encourages users to share information, but variation in users’ preferences for different modes of recording means that offering some flexibility (e.g. LF and UHF and manual reading) can increase the efficiency and coverage with which information is gathered relative to imposing a single system- wide technical solution. Fourth, making EID attractive to users also entails working to identify how regulatory controls and standards can be interpreted or amended to maximise gains/minimise costs. For example, using derogations to reduce paper recording if EID is adopted. In some cases, interpretations of prevailing regulations and standards can be problematic (e.g. cattle numbering, primary tag formats). Conclusions
EID for livestock traceability is achievable. H o w e v e r , rather than promoting a single technical solution the focus should be on how best to promote the timely and accurate recording and sharing of data through using flexibility and good governance arrangements to best meet user preferences. Acknowledgements and further information
ScotEID is funded entirely by the Scottish Government, with SAOS coordinating research and operations on behalf of a joint Government- Industry Working Group. The progress made to date could not have been achieved without the cooperation and support of industry partners willing to trial EID solutions and share data. Further information may be obtained from www.scoteid.com or via [email protected].
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 123 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 Delegate List
Name Institute Email Adam Stuart AgResearch Ltd [email protected] Alain Delpy MULTIX [email protected] Albert Brun Pujol IRTA [email protected] Alfredo Teixeira IPB Bragança [email protected] Ana Catharina Batista CECAV-UTAD [email protected] Andreas Kasel CSB - System AG [email protected] Andrew Moxey ScotEID [email protected] list delegate Aneka Bauer Max Rubner-Institute [email protected] Anton Bardera University of Girona [email protected] Anton Hofland Identigen [email protected] Armin Scholz Ludwig-Maximilians-Universität München [email protected] Arne Andersson Swedish Board of Agriculture [email protected] Axel Hinz E+V Technology GmbH & Co. KG [email protected] Beata Grzegrzółka Warsaw University of Life Sciences - SGGW [email protected] Bjarne Ersbøll DTU [email protected] Cameron Craigie AgResearch [email protected] Carol Virtue SRUC Scotland [email protected] Charlotte Maltin Biomics Ltd [email protected] Chris Glasbey BioSS [email protected] Clair Anderson SRUC Scotland [email protected] Claire Morgan-Davies SRUC Scotland [email protected] Craig Hoines BCF Technology [email protected] Cristina Zomeno IRTA-Monells [email protected] Daiva Ribikauskiene Lithuanian University of Health Sciences (LUHS) [email protected] Daniel Caballero University of Extremadura [email protected] Daniel M. Pomerantz Choice Genetics [email protected] Dave Ross SRUC Scotland [email protected] David Hopkins Centre for Red Meat and Sheep Development [email protected] David Watt Cedar Creek Company [email protected] Dennis Brandborg Nielsen Danish Meat Research Institute [email protected] Elena Fulladosa IRTA [email protected] Eli Vibeke Olsen Danish Meat Research Institute [email protected] Elly Navajas Insituto Nacional de Investigacion Agropecuaria [email protected] Emma Eythorsdottir Agric. Univ. Iceland [email protected] Georgios Arsenos Aristotle University Greece [email protected] Gérard Daumas IFIP [email protected] Giuseppe Bee Agroscope [email protected] Graham Gardner Murdoch University [email protected] Hamish Stuart ScotEID [email protected] Harvey Ho Auckland Bioengineering Institute [email protected] Heinar Schmidt University of Bayreuth [email protected] Ján Tomka Research Institute for Animal Production Nitra [email protected] Jesper Larsen Danish Classification Inspection [email protected] John Gordon SRUC Scotland [email protected] John Hotchin ScotEID [email protected] Jørgen Kongsro Norsvin [email protected] June Mclennan SRUC Scotland [email protected] Kerry Hopkins Centre for Red Meat and Sheep Development [email protected]
FAIM IV: FOURTH Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 124 and Traceability. edinburgh, united kingdom, 22nd - 23rd of September 2015. Name Institute Email Kim Matthews AHDB Beef and Lamb [email protected] Kirsty McLean SRUC Scotland [email protected] Kizkitza Insausti Public University of Navarra [email protected] Lars Bager Christensen DMRI [email protected]
Lutz Bunger SRUC Scotland [email protected] delegate list Mª Jose Beriain Public University of Navarra [email protected] Mª Victoria Sarriés Public University of Navarra [email protected] Mar Ávila University of Extremadura [email protected] Marchen Hviid Danish Meat Research Technological Institute [email protected] Maren Bernau Livestock Center [email protected] Maria Font-i-Furnols IRTA [email protected] Maria Lundesjo Ahnstrom Swedish Board of Agriculture [email protected] Maria Teresa Antequera University of Extremadura [email protected] Marina Gispert IRTA [email protected] Martina Gondeková Research Institute for Animal Production Nitra [email protected] Mathieu Monziols IFIP [email protected] Matthieu Andre Hubbard France [email protected] Mette Christensen Carometec Food Technology [email protected] Michael Judas MRI [email protected] Monika Michaličková Research Institute for Animal Production Nitra [email protected] Neil Clelland SRUC Scotland [email protected] Nicola Lambe SRUC Scotland [email protected] Nigel Perry BCF Technology [email protected] Ors Petnehazy Kaposvar University [email protected] Pablo García Rodríguez University of Extremadura [email protected] Paul Allen Teagasc [email protected] Paula Maas University of Applied Sciences Weihenstephan- [email protected] Pere Gou IRTA [email protected] Peter Haeberling CSB - System AG [email protected] Peter Polak NPPC - VUZV Slovakia [email protected] Pincent Cedric Choice Genetics France [email protected] Rainer Roehe SRUC Scotland [email protected] Riccardo Bozzi DiSPAA - UNIFI [email protected] Rūta Šveistienė Animal Science Institute of LUHS [email protected] Santiago Avendano Aviagen [email protected] Sean Starling Scott Technology Ltd [email protected] Severiano Silva CECAV-UTAD [email protected] Shane Troy SRUC Scotland [email protected] Sheila Davidson SRUC Scotland [email protected] Silvia Ampuero Kragten Agroscope, Institute for Livestock Sciences [email protected] Sotiria Vouraki School of Veterinary Medicine, Aristotle University [email protected] Stijn Hellebuyck Ghent University [email protected] Tamas Donko Kaposvar University [email protected] Termatzidou Sofia Afroditi Aristotle University [email protected] Thomas Lauridsen Carometec Food Technology [email protected] Thomas Martini Jørgensen DTU [email protected] Trinidad Perez-Palacios University of Extremadura [email protected] Violeta Razmaite Animal Science Institute of LUHS [email protected] Willie Thomson Innovent Technology [email protected]
FAIMFAIM IV: III:FOURTH Third Annual Conference on Body and Carcass Evaluation, Meat Quality, Software 125 and Traceability. edianndbur Tgraceabih, uniteldit y.ki ngdDenmarom, k22nd 25th - -23 26rthd of of S Septembereptember 2015. 2014 Booklet by Starbit Limited www.starbit.co.uk