Your browser doesn't support javascript.
loading
The Resilient Dairy Genome Project-A general overview of methods and objectives related to feed efficiency and methane emissions.
van Staaveren, Nienke; Rojas de Oliveira, Hinayah; Houlahan, Kerry; Chud, Tatiane C S; Oliveira, Gerson A; Hailemariam, Dagnachew; Kistemaker, Gerrit; Miglior, Filippo; Plastow, Graham; Schenkel, Flavio S; Cerri, Ronaldo; Sirard, Marc Andre; Stothard, Paul; Pryce, Jennie; Butty, Adrien; Stratz, Patrick; Abdalla, Emhimad A E; Segelke, Dierck; Stamer, Eckhard; Thaller, Georg; Lassen, Jan; Manzanilla-Pech, Coralia Ines V; Stephansen, Rasmus B; Charfeddine, Noureddine; García-Rodríguez, Aser; González-Recio, Oscar; López-Paredes, Javier; Baldwin, Ransom; Burchard, Javier; Parker Gaddis, Kristen L; Koltes, James E; Peñagaricano, Francisco; Santos, José Eduardo P; Tempelman, Robert J; VandeHaar, Michael; Weigel, Kent; White, Heather; Baes, Christine F.
Afiliação
  • van Staaveren N; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
  • Rojas de Oliveira H; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada; Lactanet Canada, Guelph, ON N1K 1E5, Canada.
  • Houlahan K; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
  • Chud TCS; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
  • Oliveira GA; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
  • Hailemariam D; Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.
  • Kistemaker G; Lactanet Canada, Guelph, ON N1K 1E5, Canada.
  • Miglior F; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada; Lactanet Canada, Guelph, ON N1K 1E5, Canada.
  • Plastow G; Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.
  • Schenkel FS; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
  • Cerri R; Applied Animal Biology, Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, Canada V6T 1Z4.
  • Sirard MA; Department of Animal Sciences, Laval University, Qubec G1V 0A6, QC, Canada.
  • Stothard P; Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.
  • Pryce J; School of Applied Systems Biology, La Trobe University, Bundoora, Victoria 3083, Australia; Agriculture Victoria Research, LaTrobe University, Bundoora, Victoria 3083, Australia.
  • Butty A; Qualitas AG, 6300 Zug, Switzerland.
  • Stratz P; Qualitas AG, 6300 Zug, Switzerland.
  • Abdalla EAE; Vereinigte Informationssysteme Tierhaltung w.V. (vit), Heinrich-Schröder-Weg 1, 27283, Verden, Germany.
  • Segelke D; Vereinigte Informationssysteme Tierhaltung w.V. (vit), Heinrich-Schröder-Weg 1, 27283, Verden, Germany; Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098, Kiel, Germany.
  • Stamer E; TiDa Tier und Daten GmbH, 24259 Westensee/Brux, Germany.
  • Thaller G; Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098, Kiel, Germany.
  • Lassen J; Viking Genetics, Ebeltoftvej 16, 8960 Assentoft, Denmark.
  • Manzanilla-Pech CIV; Center for Quantitative Genetics and Genomics, Aarhus University, DK-8830 Tjele, Denmark.
  • Stephansen RB; Center for Quantitative Genetics and Genomics, Aarhus University, DK-8830 Tjele, Denmark.
  • Charfeddine N; Spanish Holstein Association (CONAFE), Ctra. Andalucía km 23600 Valdemoro, 28340 Madrid, Spain.
  • García-Rodríguez A; Department of Animal Production, NEIKER-Basque Institute for Agricultural Research and Development, 01192 Arkaute, Spain.
  • González-Recio O; Department of Animal Breeding, Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA-CSIC), 28040 Madrid, Spain.
  • López-Paredes J; Federación Española de Criadores de Limusín, C/Infanta Mercedes, 31, 28020 Madrid, Spain.
  • Baldwin R; Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705.
  • Burchard J; Council on Dairy Cattle Breeding, Bowie, MD 20716.
  • Parker Gaddis KL; Council on Dairy Cattle Breeding, Bowie, MD 20716.
  • Koltes JE; Department of Animal Science, Iowa State University, Ames, IA 50011.
  • Peñagaricano F; Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706.
  • Santos JEP; Department of Animal Sciences, University of Florida, Gainesville, FL 32611.
  • Tempelman RJ; Department of Animal Science, Michigan State University, East Lansing, MI 48824.
  • VandeHaar M; Department of Animal Science, Michigan State University, East Lansing, MI 48824.
  • Weigel K; Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706.
  • White H; Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706.
  • Baes CF; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada; Vetsuisse Faculty, Institute of Genetics, University of Bern, 3012 Bern, Switzerland. Electronic address: cbaes@uoguelph.ca.
J Dairy Sci ; 107(3): 1510-1522, 2024 Mar.
Article em En | MEDLINE | ID: mdl-37690718
ABSTRACT
The Resilient Dairy Genome Project (RDGP) is an international large-scale applied research project that aims to generate genomic tools to breed more resilient dairy cows. In this context, improving feed efficiency and reducing greenhouse gases from dairy is a high priority. The inclusion of traits related to feed efficiency (e.g., dry matter intake [DMI]) or greenhouse gases (e.g., methane emissions [CH4]) relies on available genotypes as well as high quality phenotypes. Currently, 7 countries (i.e., Australia, Canada, Denmark, Germany, Spain, Switzerland, and United States) contribute with genotypes and phenotypes including DMI and CH4. However, combining data are challenging due to differences in recording protocols, measurement technology, genotyping, and animal management across sources. In this study, we provide an overview of how the RDGP partners address these issues to advance international collaboration to generate genomic tools for resilient dairy. Specifically, we describe the current state of the RDGP database, data collection protocols in each country, and the strategies used for managing the shared data. As of February 2022, the database contains 1,289,593 DMI records from 12,687 cows and 17,403 CH4 records from 3,093 cows and continues to grow as countries upload new data over the coming years. No strong genomic differentiation between the populations was identified in this study, which may be beneficial for eventual across-country genomic predictions. Moreover, our results reinforce the need to account for the heterogeneity in the DMI and CH4 phenotypes in genomic analysis.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gases de Efeito Estufa Limite: Animals País/Região como assunto: Oceania Idioma: En Revista: J Dairy Sci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gases de Efeito Estufa Limite: Animals País/Região como assunto: Oceania Idioma: En Revista: J Dairy Sci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá