The Resilient Dairy Genome Project: a general overview of methods and objectives related to feed efficiency and methane emissions

Nienke van Staaveren, Hinayah de Oliveira, Kerry Houlahan, Tatiane Chud, Gerson Oliveira, Dagnachew Hailemariam, Gerrit Kistemaker, Filippo Miglior, Graham Plastow, Flavio S. Schenkel, Ronaldo Cerri, Marc-André Sirard, Paul Stothard, Jennie Pryce, Adrien Butty, Patrick Stratz, Emhimad Abdalla, Dierck Segelke, Eckhard Stamer, Georg ThallerJan Lassen, Coralia Ines V Manzanilla Pech, Rasmus Bak Stephansen, Noureddine Charfeddine, Aser Garcia-Rodriguez, Oscar González-Recio, Javier López-Paredes, Ransom Baldwin, Javier Burchard, Kristen Gaddis, James Koltes, Francisco Peñagaricano, José Eduardo Santos, Robert J. Tempelman, Michael VandeHaar, Kent Weigel, Heather White, Christine F. Baes

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

10 Citationer (Scopus)

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 [AUS], Canada [CAN], Denmark [DNK], Germany [DEU], Spain [ESP], Switzerland [CHE], and United States of America [USA] contribute with genotypes and phenotypes including DMI and CH4. However, combining data is 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.
OriginalsprogEngelsk
TidsskriftJournal of Dairy Science
Vol/bind107
Nummer3
Sider (fra-til)1510-1522
Antal sider13
ISSN0022-0302
DOI
StatusUdgivet - mar. 2024

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