Li X, Lund M S, Zhang Q, Costa C N, Ducrocq V, Su G
Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, 8830 Tjele, Denmark; Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, North Third Road, Guangzhou Higher Education Mega Center, Guangzhou, Guangdong 510006, China.
Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, 8830 Tjele, Denmark.
J Dairy Sci. 2016 Jun;99(6):4574-4579. doi: 10.3168/jds.2015-10609. Epub 2016 Mar 31.
The present study investigated the improvement of prediction reliabilities for 3 production traits in Brazilian Holsteins that had no genotype information by adding information from Nordic and French Holstein bulls that had genotypes. The estimated across-country genetic correlations (ranging from 0.604 to 0.726) indicated that an important genotype by environment interaction exists between Brazilian and Nordic (or Nordic and French) populations. Prediction reliabilities for Brazilian genotyped bulls were greatly increased by including data of Nordic and French bulls, and a 2-trait single-step genomic BLUP performed much better than the corresponding pedigree-based BLUP. However, only a minor improvement in prediction reliabilities was observed in nongenotyped Brazilian cows. The results indicate that although there is a large genotype by environment interaction, inclusion of a foreign reference population can improve accuracy of genetic evaluation for the Brazilian Holstein population. However, a Brazilian reference population is necessary to obtain a more accurate genomic evaluation.
本研究通过添加具有基因型的北欧和法国荷斯坦公牛的信息,调查了巴西荷斯坦牛中3个生产性状预测可靠性的提高情况,这些巴西荷斯坦牛没有基因型信息。估计的跨国遗传相关性(范围从0.604到0.726)表明,巴西和北欧(或北欧和法国)群体之间存在重要的基因型与环境互作。通过纳入北欧和法国公牛的数据,巴西基因分型公牛的预测可靠性大幅提高,并且两性状单步基因组最佳线性无偏预测法的表现远优于相应的基于系谱的最佳线性无偏预测法。然而,在未基因分型的巴西母牛中,仅观察到预测可靠性有微小提高。结果表明,尽管存在较大的基因型与环境互作,但纳入国外参考群体可提高巴西荷斯坦群体遗传评估的准确性。然而,需要一个巴西参考群体来获得更准确的基因组评估。