Uemoto Yoshinobu, Sato Shuji, Kikuchi Takashi, Egawa Sachiko, Kohira Kimiko, Sakuma Hironori, Miyashita Satoshi, Arata Shinji, Kojima Takatoshi, Suzuki Keiichi
National Livestock Breeding Center, Nishigo, Fukushima, Japan.
Miyazaki Branch of National Livestock Breeding Center, Kobayashi, Miyazaki, Japan.
Anim Sci J. 2017 Oct;88(10):1465-1474. doi: 10.1111/asj.12805. Epub 2017 May 30.
A simulation analysis and real phenotype analysis were performed to evaluate the impact of three different relationship matrices on heritability estimation and prediction accuracy in a closed-line breeding of Duroc pigs. The numerator relationship matrix (NRM), single nucleotide polymorphism (SNP)-based genomic relationship matrix (GRM) (G ), and haplotype-based GRM (G ) were applied in this study. We used PorcineSNP60 genotype array data (38 114 SNPs) of 831 Duroc pigs with four selection traits. In both heritability estimation and prediction accuracy, the accuracy depended on the number of animals with records. For heritability estimation, a large difference in the results among three relationship matrices was not shown, but the trend of the estimated heritabilities between GRMs, that is G < G , was shown in this population. For the accuracy of prediction values in test animals, the accuracies of prediction values obtained by two GRMs were higher than that by the NRM in this population. The accuracies obtained by GRMs using animals with no records were lower than that by the NRM using animals with their performance records, but were close to that by the NRM using animals with full-sib testing records.
进行了模拟分析和真实表型分析,以评估三种不同关系矩阵对杜洛克猪闭锁系选育中遗传力估计和预测准确性的影响。本研究应用了分子亲缘关系矩阵(NRM)、基于单核苷酸多态性(SNP)的基因组关系矩阵(GRM)(G)和基于单倍型的GRM(G)。我们使用了831头具有四个选择性状的杜洛克猪的PorcineSNP60基因型芯片数据(38114个SNP)。在遗传力估计和预测准确性方面,准确性均取决于有记录的动物数量。对于遗传力估计,三种关系矩阵的结果未显示出很大差异,但在该群体中显示出GRM之间估计遗传力的趋势,即G < G。对于测试动物预测值的准确性,在该群体中,两种GRM获得的预测值准确性高于NRM。使用无记录动物的GRM获得的准确性低于使用有性能记录动物的NRM,但接近使用全同胞测试记录动物的NRM。