Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia.
Animal Breeding and Genomics, Wageningen University and Research, 6700 AH, Wageningen, the Netherlands.
J Dairy Sci. 2021 May;104(5):5738-5754. doi: 10.3168/jds.2020-19493. Epub 2021 Mar 6.
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.
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。