The Effect of Early Life Nutrition on Rumen Microbial Community Development and Impact on Lifetime Performance in Ruminants
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Greenhouse Gas Emissions from Ruminant Supply Chains – a Global
5. Discussion This section discusses the key drivers of variation in emissions from major process- es in the ruminant supply chain that contribute significantly to the carbon footprint of ruminant species, highlighting differences among species and world regions. The section also discusses some of the parameters and assumptions that could strongly influence the results. 5.1 METHANE EMISSIONS FROM ENTERIC FERMENTATION Regardless of the species, the largest source of GHG emissions in ruminant produc- tion is CH4, with more than 90 percent originating from enteric fermentation and the rest from manure. Globally, enteric fermentation from cattle, buffalo, and small ruminants contributes 2 448 million tonnes CO2-eq, of which 76 percent is emitted by cattle and 14 percent and 10 percent by buffalo and small ruminants, respec- tively. The production of enteric CH4 from ruminants is mainly affected by feed intake and feed quality which, in turn, defines the total energy and nutrient intake and consequently animal performance. Many of these factors are interrelated, some of which affect net emissions and others emission intensity. At animal level, net emissions are influenced by feed intake and digestibility, while emission intensity is a function of net emissions, yield per animal, health and genetics. At herd level, factors affecting net emissions are similar to those cited above, while emission intensity is determined by issues such as reproductive and mortality rates, herd structure, management, etc. The following sections discuss some of the important factors that drive the variation in enteric CH4. Productivity. Productivity is an important factor in explaining the variation of emissions among different production typologies. -
Bovine Host Genome Acts on Speci C Metabolism, Communication and Genetic Processes of Rumen Microbes Host-Genomically Linked To
Bovine host genome acts on specic metabolism, communication and genetic processes of rumen microbes host-genomically linked to methane emissions Marina Martínez-Álvaro SRUC https://orcid.org/0000-0003-2295-5839 Marc Auffret SRUC Carol-Anne Duthie SRUC Richard Dewhurst SRUC Matthew Cleveland Genus plc Mick Watson Roslin Institute https://orcid.org/0000-0003-4211-0358 Rainer Roehe ( [email protected] ) SRUC https://orcid.org/0000-0002-4880-3756 Article Keywords: bovine host genome, rumen, CH4 Posted Date: May 17th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-290150/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License 1 Bovine host genome acts on specific metabolism, communication and 2 genetic processes of rumen microbes host-genomically linked to methane 3 emissions 4 Marina Martínez-Álvaro1, Marc D. Auffret1, Carol-Anne Duthie1, Richard J. Dewhurst1, 5 Matthew A. Cleveland2, Mick Watson3 and Rainer Roehe*1 6 1Scotland’s Rural College, Edinburgh, UK 7 2Genus plc, DeForest, WI, USA 8 3The Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of 9 Edinburgh, UK 10 11 *Corresponding author. Email: [email protected] 12 13 14 Introductory paragraph 15 Whereas recent studies in different species showed that the host genome shapes the microbial 16 community profile, our new research strategy revealed substantial host genomic control of 17 comprehensive functional microbial processes in the rumen of bovines by utilising microbial 18 gene profiles from whole metagenomic sequencing. Of 1,107/225/1,141 rumen microbial 19 genera/metagenome assembled uncultured genomes (RUGs)/genes identified, 203/16/352 20 were significantly (P<2.02 x10-5) heritable (0.13 to 0.61), revealing substantial variation in 21 host genomic control. -
Estimation of Methane Emissions and Dietary Interventions for Mitigation
sustainability Review Towards Sustainable Livestock Production: Estimation of Methane Emissions and Dietary Interventions for Mitigation Pragna Prathap 1 , Surinder Singh Chauhan 1 , Brian Joseph Leury 1, Jeremy James Cottrell 1 and Frank Rowland Dunshea 1,2,* 1 Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC 3010, Australia; [email protected] (P.P.); [email protected] (S.S.C.); [email protected] (B.J.L.); [email protected] (J.J.C.) 2 Faculty of Biological Sciences, The University of Leeds, Leeds LS2 9JT, UK * Correspondence: [email protected] Abstract: The increasing need for sustainable livestock production demands more research in the field of greenhouse gas (GHG), particularly methane (CH4), measurement and mitigation. Dietary interventions, management, and biotechnological strategies to reduce the environmental impacts and economic implications of enteric CH4 emissions are needed. While the use of biotechnological interventions and management strategies can be challenging on a routine basis, feed additive supple- mentation appears to be the most researched, developed, and ready to use strategy to mitigate enteric CH4 emissions. This paper discusses various recently developed feeding strategies to reduce enteric CH4 emissions in livestock. Additionally, the manuscript reviews various technologies developed for CH4 estimation since the accurate and reliable estimation of CH4 emissions can be a limiting step Citation: Prathap, P.; Chauhan, S.S.; in the development and adoption of any mitigation strategy. Leury, B.J.; Cottrell, J.J.; Dunshea, F.R. Towards Sustainable Livestock Keywords: climate change; livestock production; methane estimation; nutritional strategies; in vitro Production: Estimation of Methane fermentation; gas chambers Emissions and Dietary Interventions for Mitigation. -
Greenhouse Gas Mitigation Options and Costs for Agricultural Land and Animal Production Within the United States
Greenhouse Gas Mitigation Options and Costs for Agricultural Land and Animal Production within the United States ICF International February 2013 Greenhouse Gas Mitigation Options and Costs for Agricultural Land and Animal Production within the United States Prepared by: ICF International 1725 I St NW, Suite 1000 Washington, DC 20006 For: U.S. Department of Agriculture Climate Change Program Office Washington, DC February 2013 Greenhouse Gas Mitigation Options and Costs for Agricultural Land and Animal Production within the United States Preparation of this report was done under USDA Contract No. AG-3142-P-10-0214 in support of the project: Greenhouse Gas Mitigation Options and Costs for Agricultural Land and Animal Production within the United States. This draft report was provided to USDA under contract by ICF International and is presented in the form in which it was received from the contractor. Any views presented are those of the authors and are not necessarily the views of or endorsed by USDA. For more information, contact the USDA Climate Change Program Office by email at [email protected], fax (202) 401-1176, or phone (202) 720-6699. Cover Photo Credit: (Middle Photo) California Bioenergy LLC, Dairy Biogas Project, Bakersfield, CA. How to Obtain Copies: You may electronically download this document from the U.S. Department of Agriculture’s Web site at: http://www.usda.gov/oce/climate_change/mitigation_technologies/GHGMitigationProduction_Cost.htm For Further Information Contact: Jan Lewandrowski, USDA Project Manager ([email protected]) -
Sheep and Goat Production: Basic Differences, Impact on Climate and Molecular Tools for Rumen Microbiome Study
Int.J.Curr.Microbiol.App.Sci (2014) 3(1): 684-706 ISSN: 2319-7706 Volume 3 Number 1 (2014) pp. 684-706 http://www.ijcmas.com Review Article Sheep and goat production: basic differences, impact on climate and molecular tools for rumen microbiome study A.R.Agrawal1, S. A. Karim2, Rajiv Kumar2, A.Sahoo2 and P. J. John1 1Department of Zoology, University of Rajasthan, Jaipur, Rajasthan, India 2Central Sheep and Wool Research Institute, Avikanagar, Tonk, Rajasthan, India *Corresponding author e-mail: A B S T R A C T Small ruminants are able to utilize the lingo-cellulosic materials and convert them to animal products of high nutritional value viz. meat, milk, wool/fur, hide and manure. However ruminants are also contributing towards green house gas emission. Like large ruminants, these fore gut fermenters also harbor a dense and diverse microbial population belonging to different group of flora and fauna. The mammalian system is K e y w o r d s devoid of enzymes cellulase to degrade structural carbohydrate while ruminants are able to degrade them by the enzymes elaborated by symbiotic microbes inhabiting in Sheep; the rumen. Importance of small ruminants in Indian economy lies in their smaller size, Goats; Rumen which is easy to graze and manage. Sheep and goat production is an integral microbiome; component of rural economy of India and serves as major source of economic Green House sustenance for weaker segments of the society in the hot semiarid and arid region. gas; Sheep and goats are closely related since both belong to subfamily Caprinae whereas Differences they are separate species. -
Enteric Methane and Nitrogen Emissions in Beef Cattle Grazing a Tannin-Containing Legume Relative to Feedlot and Traditional Pasture-Based Production Systems
Utah State University DigitalCommons@USU All Graduate Theses and Dissertations Graduate Studies 12-2019 Enteric Methane and Nitrogen Emissions in Beef Cattle Grazing a Tannin-Containing Legume Relative to Feedlot and Traditional Pasture-Based Production Systems Raúl David Guevara Ballesteros Utah State University Follow this and additional works at: https://digitalcommons.usu.edu/etd Part of the Agriculture Commons Recommended Citation Ballesteros, Raúl David Guevara, "Enteric Methane and Nitrogen Emissions in Beef Cattle Grazing a Tannin-Containing Legume Relative to Feedlot and Traditional Pasture-Based Production Systems" (2019). All Graduate Theses and Dissertations. 7666. https://digitalcommons.usu.edu/etd/7666 This Thesis is brought to you for free and open access by the Graduate Studies at DigitalCommons@USU. It has been accepted for inclusion in All Graduate Theses and Dissertations by an authorized administrator of DigitalCommons@USU. For more information, please contact [email protected]. ENTERIC METHANE AND NITROGEN EMISSIONS IN BEEF CATTLE GRAZING A TANNIN-CONTAINING LEGUME RELATIVE TO FEEDLOT AND TRADITIONAL PASTURE-BASED PRODUCTION SYSTEMS by Raúl David Guevara Ballesteros A thesis submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE in Range Science Approved: _________________________ _________________________ Juan J. Villalba, Ph.D. Jennifer W. MacAdam, Ph.D. Major Professor Committee Member _________________________ _________________________ Eric Thacker, Ph.D. Richard S. Inouye, Ph.D. Committee Member Vice Provost for Graduate Studies UTAH STATE UNIVERSITY Logan, Utah 2019 ii Copyright © Raúl David Guevara Ballesteros 2019 All Rights Reserved iii ABSTRACT Enteric Methane and Nitrogen Emissions in Beef Cattle Grazing a Tannin-containing Legume Relative to Feedlot and Traditional Pasture-based Production Systems by Raúl David Guevara Ballesteros, Master of Science Utah State University, 2019 Major Professor: Dr. -
Methane Production in Ruminant Animals: Implication for Their Impact on Climate Change
Concepts of Dairy & Veterinary Sciences DOI: ISSN: 2637-4749 10.32474/CDVS.2019.02.000142Review Article Methane Production in Ruminant Animals: Implication for Their Impact on Climate Change Mebrate Getabalew1, Tewodros Alemneh2* and Dawit Akeberegn3 1College of Agricultural and Natural Resource Science, Department of Animal Science, Debre Berhan University, Ethiopia 2Woreta Town Office of Agriculture and Environmental Protection, South Gondar Zone, Amhara Regional State, Ethiopia 3Debre Berhan City Municipality Office, Meat Inspection and Hygiene, Amhara Regional State, Ethiopia *Corresponding author: Tewodros Alemneh, Woreta Town Office of Agriculture and Environmental Protection, South Gondar Zone, Amhara Regional State, Ethiopia Received: Published: January 03, 2019 April 04, 2019 Abstract Agriculture accounts for about 47%-56% of the total anthropogenic methane (CH4) emission. It is known that from the agricultural sector, ruminant livestock (dairy, beef, goats, and sheep) substantially contributes to the increase in CH4 production through continuous natural rumen fermentation process. Methane emission is now the second contributor to global warming, which it has 23 times more influence than that of carbon dioxide (CO2). Many factors affect the amount of ruminant CH4 production, including level of feed intake, type and quality of feeds, energy consumption, animal size, growth rate, level of production, and environmental temperature. Methane also produced from manure of animals depending on the physical form of the faeces, the amount of digestible material, the climate, and the time they remained intact. The major part of methanogenesis in ruminants occurs in the large fermentative chamber, which is rumen. Ruminal digestion of feed by microorganisms, under anaerobic conditions, results in the production of acetate, propionate and butyrate (volatile fatty acids) which are used by the animal as energy source, and production of ruminal gases such as carbon dioxide (CO2) and CH4, which eliminated through eructation. -
Methodology for the Reduction of Enteric Methane Emissions from Ruminants Through the Use of 100% Natural Feed Supplement
VCS Methodology VM0041 METHODOLOGY FOR THE REDUCTION OF ENTERIC METHANE EMISSIONS FROM RUMINANTS THROUGH THE USE OF 100% NATURAL FEED SUPPLEMENT Version 1.0 22 November 2019 Sectoral Scope 15 VM0041, Version 1.0 Sectorial Scope 15 This methodology was developed by Document Prepared by MOOTRAL SA Author: Elsa Zoupanidou (Mootral SA) Mootral would like to acknowledge the many contributions by colleagues at Mootral SA: Maria Sünkel, Deepashree Kand, Hilde Vrancken, Matthias Miller, and Oliver Riede. Appreciation is extended to Isabelle Botticelli (Mootral SA) and Michael Mathres (Mootral SA) who provided useful suggestions and support over the entire period of the development of the Methodology. We are grateful to Silvana Claassen (Climate Neutral Group), Sergi Cuadrat (Allcot AG), and Mercedes Garcia Madero (Allcot AG) for their contribution and suggestions for improvements. Finally, we thank our reviewers, whose comments and suggestions contributed to greatly increase the clarity and effectiveness of this manuscript. 2 VM0041, Version 1.0 Sectorial Scope 15 TABLE OF CONTENTS 1 Sources ................................................................................................................ 4 2 Summary Description of the Methodology ....................................................... 4 3 Definitions ............................................................................................................ 5 4 Applicability Conditions ..................................................................................... 6 5 Project -
Ch4 Emissions from Enteric Fermentation
Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories CH4 EMISSIONS FROM ENTERIC FERMENTATION ACKNOWLEDGEMENTS This paper was written by Michael J. Gibbs and David Conneely (ICF Incorporated), Don Johnson (Colorado State University), Keith R. Lasse (National Institute of Water and Atmospheric Research, New Zealand), and M. J. Ulyatt (New Zealand Pastoral Agriculture Research Institute). ABSTRACT Livestock are produced throughout the world, and are a significant source of global methane (CH4) emissions. The amount of methane emitted is driven primarily by the number of animals, the type of digestive system, and the type and amount of feed consumed. The Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories (IPCC Guidelines) recommend that CH4 emissions from enteric fermentation be estimated by multiplying the number of animals for each animal type by an appropriate emissions factor. The IPCC Guidelines recommend two general methods to estimating emissions factors. The Tier 1 method involves using default emissions factors, while the Tier 2 method involves using country-specific information to calculate the emissions factors. The Tier 2 method is more accurate than the Tier 1 method because it incorporates country-specific information. The Tier 2 method is recommended to estimate methane emissions for countries with large cattle or sheep populations. The key challenge to using the Tier 2 method lies in data collection. Generally, collecting data for Tier 2 requires a high level of effort. Below is a description of the data needed for Tier 1 and Tier 2. Tier 1 To estimate emissions using Tier 1 method, data on the number of animals for each livestock group are needed. -
Essays on Modeling the Economic Impacts of a Foreign Animal
ESSAYS ON MODELING THE ECONOMIC IMPACTS OF A FOREIGN ANIMAL DISEASE ON THE UNITED STATES AGRICULTURAL SECTOR A Dissertation by AMY DEANN HAGERMAN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY December 2009 Major Subject: Agricultural Economics ESSAYS ON MODELING THE ECONOMIC IMPACTS OF A FOREIGN ANIMAL DISEASE ON THE UNITED STATES AGRICULTURAL SECTOR A Dissertation by AMY DEANN HAGERMAN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved by: Chair of Committee, Bruce A. McCarl Committee Members, David A. Bessler Yanhong Jin Bo Norby Head of Department, John P. Nichols December 2009 Major Subject: Agricultural Economics iii ABSTRACT Essays on Modeling the Economic Impacts of a Foreign Animal Disease on the United States Agricultural Sector. (December 2009) Amy DeAnn Hagerman, B.S., Oklahoma State University; M.S., Texas A&M University Chair of Advisory Committee: Dr. Bruce A. McCarl Foreign animal disease can cause serious damage to the United States (US) agricultural sector and foot-and-mouth disease (FMD), in particular, poses a serious threat. FMD causes death and reduced fecundity in infected animals, as well as significant economic consequences. FMD damages can likely be reduced through implementing pre-planned response strategies. Empirical studies have evaluated the economic consequences of alternative strategies, but typically employ simplified models. This dissertation seeks to improve US preparedness for avoiding and/or responding to an animal disease outbreak by addressing three issues related to strategy assessment in the context of FMD: integrated multi region economic and epidemic evaluation, inclusion of risk, and information uncertainty. -
Determining the Culturability of the Rumen Bacterial Microbiome
bs_bs_banner Determining the culturability of the rumen bacterial microbiome Christopher J. Creevey,1,2 William J. Kelly,3,4* list of cultured rumen isolates that are representative Gemma Henderson3,4 and Sinead C. Leahy3,4 of abundant, novel and core bacterial species in the 1Animal and Bioscience Research Department, Animal rumen. In addition, we have identified taxa, particu- and Grassland Research and Innovation Centre, larly within the phylum Bacteroidetes, where further Teagasc, Grange, Dunsany, Co. Meath, Ireland. cultivation efforts are clearly required. 2Institute of Biological, Environmental and Rural This information is being used to guide the isola- Sciences, Aberystwyth University, Aberystwyth, tion efforts and selection of bacteria from the rumen Ceredigion, UK. microbiota for sequencing through the Hungate1000. 3Grasslands Research Centre, AgResearch Limited, Palmerston North, New Zealand. Introduction 4New Zealand Agricultural Greenhouse Gas Research Ruminants have evolved a symbiotic relationship with a Centre, Palmerston North, New Zealand. complex microbiome consisting of bacteria, archaea, fungi, protozoa, and viruses located in their fore-stomach Summary (reticulorumen) that allows these animals to utilize the lignocellulose component of plant material as their main The goal of the Hungate1000 project is to generate a energy source. The microbial degradation of lignocellu- reference set of rumen microbial genome sequences. lose, and fermentation of the released soluble sugars, Toward this goal we have carried out a meta-analysis produces short-chain fatty acids that are absorbed across using information from culture collections, scientific the rumen epithelium and utilized by the ruminant for literature, and the NCBI and RDP databases and growth, while the microbial cells pass from the rumen to linked this with a comparative study of several rumen the digestive tract where they become the main source of 16S rRNA gene-based surveys. -
Computational Genomics of Lactobacilli
Department of Biosciences Faculty of Biological and Environmental Sciences University of Helsinki Finland Computational genomics of lactobacilli Matti Kankainen ACADEMIC DISSERTATION To be presented, with the permission of the Faculty of Biological and Environmental Sciences of the University of Helsinki, for public examination in the lecture room 228 at Koetilantie 5, Viikki, on 24 April 2015, at 12 o’clock noon. Finland 2015 Supervisor Professor Liisa Holm Department of Biological and Environmental Sciences, Faculty of Biosciences University of Helsinki Helsinki, Finland Reviewers Professor Mauno Vihinen Department of Experimental Medical Science Lund University Lund, Sweden Docent David Fewer Department of Food and Environmental Sciences University of Helsinki Helsinki, Finland Opponent Adjunct Professor Laura Elo Department of Mathematics and Statistics University of Turku Turku, Finland Custos Professor Liisa Holm Department of Biological and Environmental Sciences, Faculty of Biosciences University of Helsinki Helsinki, Finland Published in Dissertationes Scholae Doctoralis Ad Sanitatem Investigandam Universitatis Helsinkiensis ISBN 978-951-51-0886-9 (pbk.) ISBN 978-951-51-0887-6 (PDF) ISSN 2342-3161 (print) ISSN 2342-317X (online) Hansaprint Vantaa 2015 “If you wish to make an apple pie from scratch, you must first invent the universe.” - Carl Sagan Contents Abstract 1! List of original publications 3! Abbreviations 4! 1 Review of the literature 1! 1.1 Bacterial whole-genome sequencing 1! 1.1.1 DNA sequencing technologies 3! 1.1.2