CONFERENCE O N PRECISION DAIRY FARMING LEEUWARDEN THE NETHERLANDS 21-23 JUNE 2016 Program SPONSORS Gold Platinum Silver Bronze PROGRAM AT A GLANCE 09.00 - 09.15 Opening by Henk Hogeveen, Wageningen UR, Chairman of the Organizing Committee - Room New York 1&2 09.15 - 09.45 Key note presentation by Ynte Hein Schukken, GD Animal Health, the Netherlands • Animal health challenges on dairy farms increasing in size - 21 June are protocols and precision farming compatible? - Room New York 1&2 09.45 - 10.15 Key note presentation by James Hills, Tasmanian Institute of Agricultures Dairy Centre, Australia • Precision feeding and grazing management for temperate pasture-based dairy systems - Room New York 1&2 10.15 - 10.45 Break 10.45 - 12.05 Session 1 - Room NY 1 Session 2 - Room NY 2 Session 3 - Room NY 3 Reproduction (shared Feeding I Metabolic disorders session with DairyCare) 12.05 - 13.00 Lunch 13.00 - 14.00 Poster presentations Tuesday 14.00 - 15.00 Session 4 - Room NY 1 Session 5 - Room NY 2 Session 6 - Room NY 3 Activity and lameness Requirements for PDF Udder health and reproduction 15.00 - 15.30 Break 15.30 - 16.50 Session 7 - Room NY 1 Session 8 - Room NY 2 Session 9 - Room NY 3 Cow traffic and AMS Economic impact of PDF Welfare 18.00 - 20.30 Welcome Reception at Harmonie, Ruiterskwartier 4, 8911 BP Leeuwarden 20.30 - Social activity 09.00 - 18.00 Visiting Precision Dairy Farms 09.00 - 09.30 Key note presentation by Daniel Berckmans, KU Leuven, Belgium • Novel Precision Dairy Farming Technologies - Room New York 1&2 18.00 - late Conference dinner at the Dairy Campus 09.35 - 10.35 Session 10 - Room NY 1 Session 11 - Room NY 3 Session 12 - Room Milan 23 June 22 June New PDF technologies I: Big data Feeding II Lameness detection 10.35 - 11.05 Break 11.05 - 12.25 Session 13 - Room NY 1 Session 14 - Room NY 3 Session 15 - Room Milan New PDF technologies II Adding value to sensor data AMS efficiency 12.25 - 13.30 Lunch 13.30 - 14.50 Session 16 - Room NY 1 Session 17 - Room NY 3 Session 18 - Room Milan New PDF technologies III Data management Performance of AMS 14.50 - 15.20 Break Thursday 15.20 - 16.20 Session 19 - Room NY 1 Session 20 - Room NY 3 Grazing Data modelling 16.20 - 16.50 Key note presentation by Jeffrey Bewley, University of Kentucky, USA Wednesday • Update on use of sensors on dairy farms - Room New York 1&2 16.50 - 17.00 Closing - Room New York 1&2 DETAILED PROGRAM Session 1 Session 2 Session 3 Reproduction (shared Feeding I Metabolic disorders session with DairyCare) Tuesday 21 June Chairperson: Dr Vivi Thorop Chairperson: Kees de Koning, MSc Chairperson: Dr. Hiemke Knijn Authors Title Authors Title Authors Title (presenting author in bold) (presenting author in bold) (presenting author in bold) 10.45-12.05 hrs 10.45 - 11.05 Derks, M.; Blavy, P.; Estimating chances of Sponsor presentation by Nutrition, Sensors & Hallén Sandgren, C.; Consistency of Christensen, J.M.; insemination success Agrifirm - Bahr, C. Genetics - A data driven Emanuelson, U. measurements from an Friggens, N.C. using milk progesterone smart feeding approach by automatic body condition measurements Agrifirm scoring camera 11.05 - 11.25 Lind, A.; Karlsson, M.; Calving alert system for Oberschätzl-Kopp, R.; Effects of an automatic Kaufman, E.I.; Leblanc, S.J.; Association between Lindahl, C.; Båge, R. better working Haidn, B.; Peis, R.; feeding system with dyna- Mcbride, B.W.; Duffield, T.F.; behavior and subclinical environment Reiter, K.; Bernhardt, H. mic feeding times on the Devries, T.J. ketosis in transition dairy behaviour of dairy cows cows 11.25 - 11.45 Krieger, S.; Prediction of calving Van Riel, J.W.; Dynamic concentrate Schcolnik, T.; Honig, H. Treating cows for ketosis Sattlecker, G.; in dairy cows using Lokhorst, C. feeding and the benefits in by milk fat-to-protein Kickinger, F.; Auer, W.; tail-mounted different parity groups on ratio levels to improve Iwersen, M.; Drillich, M. accelerometers dairy farms production 11.45 - 12.05 Borchers, M.; Predicting impending Mottram, T.T.F.; Redefining SARA in dairy Chang, Y.M.; calving using activity, lying, Worfolk, J.P. cows with reticulum pH Wadsworth, B.; and rumination behavior measurements Stone, A.; Bewley, J. monitors in dairy cattle Room New York 1 Room New York 2 Room New York 3 Session 4 Session 5 Session 6 Lameness detection Requirements for PDF Udder health and reproduction Tuesday 21 June Chairperson: Prof. Lene Munksgaard Chairperson: Niels Rutten, MSc Chairperson: Prof. Ynte Schukken Authors Title Authors Title Authors Title (presenting author in bold) (presenting author in bold) (presenting author in bold) 14.00 - 15.00 hrs 14.00 - 14.20 Link, Y.; Salau, J.; Using classifiers based Van Weyenberg, S.; Farmers’ preference Gouw, A.; De Jong, L.; Optimizing dry cow Karsten, S.; Krieter, J. on 3D-head acceleration Pluym, L.M.; Piccart, K.; towards heat detection Van der Tol, R.; therapy using frequent data for lameness Van Nuffel, A.; Aernouts, B.; sensor technology Van der Kamp, A.J. SCC monitoring detection Huybrechts, T.; De Busser, E.; Mondelaers, K.; Saeys, W. 14.20 - 14.40 Wadsworth, B.A.; Behavioral comparisons Eastwood, C.; Understanding the roles Adriaens, I.; Improved milk Mayo, L.M.; Tsai, I.C.; among lame versus sound Chaplin, S.; Dela Rue, B. of farm advisors in Huybrechts, T.; Aernouts, B.; progesterone algorithm Stone, A.E.; Ray, D.R.; cattle using precision Lyons, N.; Gray, D. precision dairy farming Piccart, K.; Geerincks, K.; to monitor reproduction Clark, J.D.; Bewley, J.M. technologies Daems, D.; Lammertyn, J.; in dairy cows De Ketelaere, B.; Saeys, W. 14.40 - 15.00 Van Erp-Van der Validation of Nedap Kort, J.; Van der Smart Dairy Farming Sponsor presentation by Recent advances in Kooij, E.; Van de Brug, Smarttag Leg and Neck Weerdt, C.; De Boer, J.; in practice: design Fullwood mastitis detection with M.; Roelofs, J.B. to assess behavioural Paradies, G.L. requirements for automatic milking activity level in cattle user-friendly data based systems services Room New York 1 Room New York 2 Room New York 3 Session 7 Session 8 Session 9 Cow traffic and AMS Economic impact of PDF Welfare Tuesday 21 June Chairperson: Prof. Marcia Endres Chairperson: Prof. Jeffrey Bewley Chairperson: Assoc Prof. Karin Orsel Authors Title Authors Title Authors Title (presenting author in bold) (presenting author in bold) (presenting author in bold) 15.30 - 16.50 hrs 15.30 - 15.50 Sponsor presentation Precision livestock farming Van de Gught, T.; Relation between sensor Koene, P.; Hogewerf, P.; Dairy cow welfare: by Lely - to unburden the dairy Van Nuffel, A.; Piccart, K.; performance and willingness Ipema, B effects of a virtual fence Van der Kamp, A.J. farmer Lauwers, L.; Saeys, W.; of farmers to pay for on social behavior Van Weyenberg, S. lameness detection systems 15.50 - 16.10 Pitkäranta, J.; Automatic Milking in De Veer, J.; Development of an invest- Keeling, L.J.; De Oliveira, D.; Use of mechanical rota- Rodenburg, J. Large Dairy Herds Eastwood, C.; ment model for automated Rustas, B.-O. ting brushes in dairy cows Neal, M.; Dela Rue, B.; mastitis detection systems - a potential proxy for Kamphuis, C. performance and welfare? 16.10 - 16.30 Wildridge, A.; The impact of a partially Lyons, N.; Eastwood, C.; Current and future technolo- Gabrieli, R. Monitoring social Thomson, P.; Garcia, S.; shaded laneway on vo- Dela Rue, B.; Kerrisk, K. gy adoption of milking related behaviour in grazing cows Jongman, E.; Clark, C.; luntary traffic between technologies on Australian Kerrisk, K. pasture and an AMS and New Zealand dairy farms 16.30 - 16.50 Heurkens, D.; Kamphuis, C.; Effects of freestall barn Allain, C.; Chanvallon, Technical, economic and Guzhva, O.; Nilsson, M.; Development of a seven- Van der Kamp, A.J. layout on efficiency of A.; Courties, R.; Billon, D.; sociological impacts of an Herlin, A.; Ardö, H.; point shape model for Dutch dairy farms with an Bareille, N. automated estrus detection Åström, K.; Bergsten, C. analysis of social inter- automatic milking system system for dairy cows actions in dairy cattle Room New York 1 Room New York 2 Room New York 3 Session 10 Session 11 Session 12 New PDF technologies I: Big data Feeding II Lameness Detection Thursday 21 June Chairperson: Dr. Claudia Bahr Chairperson: Prof. Nathalie Bareille Chairperson: Prof. Trevor de Vries Authors Title Authors Title Authors Title (presenting author in bold) (presenting author in bold) (presenting author in bold) 09.35 - 10.35 hrs 09.35 - 09.55 Zhao, K.; He, D.; Detection of lameness Van der Tol, R.; When cow health counts, Van der Waaij, B.D.; Cow feed intake Bewley, J. in dairy cattle based on Kool, P.; Van der Kamp, A.J. probabilities matter Feldbrugge, R.L.; prediction with machine limb motion analysis Veerkamp, R.F. learning with automatic image processing 09.55 - 10.15 Orsel, K.; Solano, L.M.; Automated footbaths to Verhoosel, J.P.C; Semantics for big data Dias, K.M.; Clark, C.E.F.; Creating value from data: Pickel, C.; Dopfer, D.; implement a standardized Spek, J. application in the Smart John, A. Milking order and its Barkema, H.W. protocol: impact Digital Dairy Farming domain role in future precision Dermatitis dynamic dairy feeding systems 10.15 - 10.35 Van De Gucht, T.; Assessment of the Harty, E.; Healy, J. Using Big Data and De Mol, R.M.; The relation between Saeys, W.; possibilities to downscale Advanced Analytics to Goselink, R.M.A.; feeding duration and Van Weyenbergh, S.; the Gaitwise system by optimise Health and Knijn, H.M.