Department of Animal Genetics, Wrocław University of Environmental and Life Sciences, Kożuchowska 7, Wrocław, Poland.
J Appl Genet. 2011 Aug;52(3):363-6. doi: 10.1007/s13353-011-0047-z. Epub 2011 May 7.
The aim of the study was to fit the genomic evaluation model to Polish Holstein-Friesian dairy cattle. A training data set for the estimation of additive effects of single nucleotide polymorphisms (SNPs) consisted of 1227 Polish Holstein-Friesian bulls. Genotypes were obtained by the use of Illumina BovineSNP50 Genotyping BeadChip. Altogether 29 traits were considered: milk-, fat- and protein- yields, somatic cell score, four female fertility traits, and 21 traits describing conformation. The prediction of direct genomic values was based on a mixed model containing deregressed national proofs as a dependent variable and random SNP effects as independent variables. The correlations between direct genomic values and conventional estimated breeding values estimated for the whole data set were overall very high and varied between 0.98 for production traits and 0.78 for non return rates for cows. For the validation data set of 232 bulls the corresponding correlations were 0.38 for milk-, 0.37 for protein-, and 0.32 for fat yields, while the correlations between genomic enhanced breeding values and conventional estimated breeding values for the four traits were: 0.43, 0.44, 0.31, and 0.35. This model was able to pass the interbull validation criteria for genomic selection, which indicates that it is realistic to implement genomic selection in Polish Holstein-Friesian cattle.
本研究的目的是为波兰荷斯坦奶牛拟合基因组评估模型。用于估计单核苷酸多态性（SNP）加性效应的训练数据集由 1227 头波兰荷斯坦奶牛公牛组成。基因型通过使用 Illumina BovineSNP50 Genotyping BeadChip 获得。共考虑了 29 个性状：乳脂蛋白产量、体细胞评分、4 个雌性生育性状和 21 个描述体型的性状。直接基因组值的预测基于包含去回归国家证明作为因变量和随机 SNP 效应作为自变量的混合模型。直接基因组值与整个数据集估计的常规估计育种值之间的相关性总体上非常高，从产奶性状的 0.98 到奶牛的返情率的 0.78 不等。对于 232 头公牛的验证数据集，相应的相关性分别为 0.38 用于乳脂、0.37 用于蛋白质和 0.32 用于脂肪产量，而四个性状的基因组增强育种值与常规估计育种值之间的相关性为：0.43、0.44、0.31 和 0.35。该模型通过了基因组选择的公牛间验证标准，这表明在波兰荷斯坦奶牛中实施基因组选择是现实的。
