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耐乳品系基因组计划——饲料效率和甲烷排放相关方法和目标概述。

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

机构信息

Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada.

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.

出版信息

J Dairy Sci. 2024 Mar;107(3):1510-1522. doi: 10.3168/jds.2022-22951. Epub 2023 Sep 9.

DOI:10.3168/jds.2022-22951
PMID: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 [CH]) 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 CH. 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 CH 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 CH phenotypes in genomic analysis.

摘要

弹性奶牛基因组计划(RDGP)是一个国际大规模应用研究项目,旨在生成基因组工具,以培育更具弹性的奶牛。在这种情况下,提高奶牛饲料效率和减少温室气体排放是当务之急。提高与饲料效率(如干物质采食量 [DMI])或温室气体(如甲烷排放 [CH])相关的性状的选育,依赖于现有的基因型和高质量的表型。目前,7 个国家(澳大利亚、加拿大、丹麦、德国、西班牙、瑞士和美国)提供了包括 DMI 和 CH 在内的基因型和表型数据。然而,由于记录协议、测量技术、基因分型和动物管理在来源上的差异,整合这些数据具有挑战性。在本研究中,我们提供了一个概述,说明 RDGP 合作伙伴如何解决这些问题,以推进国际合作,为弹性奶牛生成基因组工具。具体来说,我们描述了 RDGP 数据库的当前状态、每个国家的数据收集协议以及用于管理共享数据的策略。截至 2022 年 2 月,该数据库包含了 12687 头奶牛的 1289593 份 DMI 记录和 3093 头奶牛的 17403 份 CH 记录,并且随着各国在未来几年上传新的数据,该数据库还在不断增长。本研究未发现群体之间存在强烈的基因组分化,这可能有利于最终的跨国基因组预测。此外,我们的结果还强调了在基因组分析中考虑 DMI 和 CH 表型异质性的必要性。

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