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

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posted on 2024-03-08, 04:08 authored by Nienke van Staaveren, Hinayah R Oliveira, Kerry Houlahan, Tatiane CS Chud, Gerson A Oliveira, Dagnachew Hailemariam, Gerrit Kistemaker, Filippo Miglior, Graham Plastow, Flavio S Schenkel, Ronaldo Cerri, Marc-André Sirard, Paul Stothard, Jennie PryceJennie Pryce, Adrien Butty, Patrick Stratz, Emhimad AE Abdalla, Dierck Segelke, Eckhard Stamer, Georg Thaller, Jan Lassen, Coralia Ines V Manzanilla-Pech, Rasmus B Stephansen, Noureddine Charfeddine, Aser Garcia-Rodriguez, Oscar González-Recio, Javier López-Paredes, Ransom Baldwin, Javier Burchard, Kristen Gaddis, James E Koltes, Francisco Peñagaricano, José Eduardo P Santos, Robert J Tempelman, Michael VandeHaar, Kent Weigel, Heather White, Christine F Baes
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.

History

Publication Date

2024-03-01

Journal

Journal of Dairy Science

Volume

107

Issue

3

Pagination

13p. (p. 1510-1522)

Publisher

Elsevier

ISSN

0022-0302

Rights Statement

© 2024, The Authors. Published by Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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