• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用有限的国家基因型数据和综合外部信息对瑞士褐牛奶牛进行基因组评估。

Genomic evaluation of Brown Swiss dairy cattle with limited national genotype data and integrated external information.

机构信息

Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia.

Animal Breeding and Genomics, Wageningen University and Research, 6700 AH, Wageningen, the Netherlands.

出版信息

J Dairy Sci. 2021 May;104(5):5738-5754. doi: 10.3168/jds.2020-19493. Epub 2021 Mar 6.

DOI:10.3168/jds.2020-19493
PMID:33685705
Abstract

This study demonstrated the feasibility of a genomic evaluation for the dairy cattle population for which the small national training population can be complemented with foreign information from international evaluations. National test-day milk yield data records for the Slovenian Brown Swiss cattle population were analyzed. Genomic evaluation was carried out using the single-step genomic best linear unbiased prediction method (ssGBLUP), resulting in genomic estimated breeding values (GEBV). The predominantly female group of genotyped animals, representing the national training population in the single-step genomic evaluation, was further augmented with 7,024 genotypes of foreign progeny-tested sires from an international Brown Swiss InterGenomics genomic evaluation (https://interbull.org/ib/whole_cop). Additionally, the estimated breeding values for the altogether 7,246 genotyped domestic and foreign sires from the 2019 sire multiple across-country evaluation (MACE), were added to the ssGBLUP as external pseudophenotypic information. The ssGBLUP method, with integration of MACE information by avoiding double counting, was then performed, resulting in MACE-enhanced GEBV (GEBVM). The methods were empirically validated with forward prediction. The validation group consisted of 315 domestic males and 1,041 domestic females born after 2012. Increase, inflation, and bias of the GEBV(M) reliability (REL) were assessed for the validation group with a focus on females. All individuals in the validation benefited from genomic evaluations using both methods, but the GEBV(M) REL increased most for the youngest selection candidates. Up to 35 points of GEBV REL could be assigned to national genomic information, and up to 17 points of GEBVM REL could additionally be attributed to the integration of foreign sire genomic and MACE information. Results indicated that the combined foreign progeny-tested sire genomic and external MACE information can be used in the single-step genomic evaluation as an equivalent replacement for domestic phenotypic information. Thus, an equal or slightly higher genomic breeding value REL was obtained sooner than the pedigree-based breeding value REL for the female selection candidates. When the abundant foreign progeny-tested sire genomic and MACE information was used to complement available national genomic and phenotypic information in single-step genomic evaluation, the genomic breeding value REL for young-female selection candidates increased approximately 10 points. Use of international information provides the possibility to upgrade small national training populations and obtain satisfying reliability of genomic breeding values even for the youngest female selection candidates, which will help to increase selection efficiency in the future.

摘要

本研究证明了对于奶牛群体,可以通过使用国际评估中的外国信息来补充小的国家训练群体,从而对其进行基因组评估的可行性。对斯洛文尼亚红牛的全国测试日牛奶产量数据记录进行了分析。使用单步基因组最佳线性无偏预测方法(ssGBLUP)进行基因组评估,得出基因组估计育种值(GEBV)。在单步基因组评估中,主要由雌性组成的已基因分型动物群体进一步增加了来自国际红牛 InterGenomics 基因组评估(https://interbull.org/ib/whole_cop)的 7,024 个外国后裔测试种公牛的基因型。此外,还将来自 2019 年跨国家种公牛评估的总共 7,246 个国内和国外种公牛的估计育种值(MACE)添加到 ssGBLUP 中作为外部拟表型信息。通过避免重复计数,将 MACE 信息整合到 ssGBLUP 中,从而得到增强的 MACE-GEBV(GEBVM)。通过前向预测对方法进行了实证验证。验证组由 315 头国内雄性和 1,041 头 2012 年后出生的国内雌性组成。关注雌性,对验证组评估了 GEBV(M)可靠性(REL)的增加、膨胀和偏差。验证组中的所有个体都从两种方法的基因组评估中受益,但最年轻的候选个体的 GEBV(M)REL 增加最多。国家基因组信息最多可增加 35 个 GEBV REL 点,整合外国种公牛基因组和 MACE 信息最多可额外增加 17 个 GEBVM REL 点。结果表明,在单步基因组评估中,可以将组合的外国后裔测试种公牛基因组和外部 MACE 信息用作国内表型信息的等效替代品。因此,与基于系谱的育种值 REL 相比,雌性选择候选者更快地获得了相等或略高的基因组育种值 REL。当在单步基因组评估中使用大量的外国后裔测试种公牛基因组和 MACE 信息来补充可用的国家基因组和表型信息时,年轻雌性选择候选者的基因组育种值 REL 增加了约 10 个点。使用国际信息提供了升级小的国家训练群体的可能性,即使对于最年轻的雌性选择候选者,也可以获得令人满意的基因组育种值可靠性,这将有助于提高未来的选择效率。

相似文献

1
Genomic evaluation of Brown Swiss dairy cattle with limited national genotype data and integrated external information.利用有限的国家基因型数据和综合外部信息对瑞士褐牛奶牛进行基因组评估。
J Dairy Sci. 2021 May;104(5):5738-5754. doi: 10.3168/jds.2020-19493. Epub 2021 Mar 6.
2
Bayesian single-step genomic evaluations combining local and foreign information in Walloon Holsteins.贝叶斯单步基因组评估结合瓦隆荷斯坦牛的本地和外国信息。
Animal. 2018 May;12(5):898-905. doi: 10.1017/S1751731117002324. Epub 2017 Oct 16.
3
Development of genomic predictions for Angus cattle in Brazil incorporating genotypes from related American sires.发展巴西安格斯牛的基因组预测,纳入相关美国父本的基因型。
J Anim Sci. 2022 Feb 1;100(2). doi: 10.1093/jas/skac009.
4
National single-step genomic method that integrates multi-national genomic information.整合多国基因组信息的国家单步基因组方法。
J Dairy Sci. 2017 Jan;100(1):465-478. doi: 10.3168/jds.2016-11733. Epub 2016 Nov 17.
5
Efficient large-scale single-step evaluations and indirect genomic prediction of genotyped selection candidates.高效的大规模单步评估和间接基因组预测的基因分型选择候选者。
Genet Sel Evol. 2023 Jun 8;55(1):37. doi: 10.1186/s12711-023-00808-z.
6
Use of a single-step approach for integrating foreign information into national genomic evaluation in Holstein cattle.在荷斯坦牛的国家基因组评估中,使用一步法整合国外信息。
J Dairy Sci. 2019 Sep;102(9):8175-8183. doi: 10.3168/jds.2018-15819. Epub 2019 Jul 10.
7
Domestic estimated breeding values and genomic enhanced breeding values of bulls in comparison with their foreign genomic enhanced breeding values.与国外基因组增强育种值相比,公牛的国内估计育种值和基因组增强育种值。
Animal. 2015 Oct;9(10):1635-42. doi: 10.1017/S1751731115001044. Epub 2015 Jul 2.
8
Comparison of genomic predictions for lowly heritable traits using multi-step and single-step genomic best linear unbiased predictor in Holstein cattle.使用多步和单步基因组最佳线性无偏预测器在荷斯坦奶牛中对低遗传力性状进行基因组预测的比较。
J Dairy Sci. 2018 Sep;101(9):8076-8086. doi: 10.3168/jds.2017-14193. Epub 2018 Jun 21.
9
Accuracy of breeding values in small genotyped populations using different sources of external information-A simulation study.利用不同外部信息来源的小基因型群体中育种值的准确性——一项模拟研究
J Dairy Sci. 2017 Jan;100(1):395-401. doi: 10.3168/jds.2016-11335. Epub 2016 Oct 27.
10
Application of single-step genomic evaluation using multiple-trait random regression test-day models in dairy cattle.应用多性状随机回归测试日模型的一步法基因组评估在奶牛中的应用。
J Dairy Sci. 2019 Mar;102(3):2365-2377. doi: 10.3168/jds.2018-15466. Epub 2019 Jan 11.

引用本文的文献

1
Improving Breeding Value Reliability with Genomic Data in Breeding Groups of Charolais.利用基因组数据提高夏洛莱牛育种群体的育种值可靠性。
Genes (Basel). 2023 Nov 27;14(12):2139. doi: 10.3390/genes14122139.
2
Integration of beef cattle international pedigree and genomic estimated breeding values into national evaluations, with an application to the Italian Limousin population.将肉牛国际谱系和基因组估计育种值整合到国家评估中,并应用于意大利利木赞牛群体。
Genet Sel Evol. 2023 Jun 12;55(1):41. doi: 10.1186/s12711-023-00813-2.
3
Single-step genomic evaluation of Russian dairy cattle using internal and external information.
利用内部和外部信息对俄罗斯奶牛进行一步法基因组评估。
J Anim Breed Genet. 2022 May;139(3):259-270. doi: 10.1111/jbg.12660. Epub 2021 Nov 28.