Animal Breeding and Genomics, Wageningen UR, PO 338, 6700 AH, Wageningen, the Netherlands.
CRV BV, Wassenaarweg, 20, 6843 NW, Arnhem, the Netherlands.
J Dairy Sci. 2021 Mar;104(3):3298-3303. doi: 10.3168/jds.2020-19460. Epub 2021 Jan 15.
Genetic groups, also called unknown or phantom parents groups, are often used in dairy cattle genetic evaluations to account for selection that cannot be accounted for by known genetic relationships. With the advent of genomic evaluations, the theory of genetic groups was extended to the so-called single-step genomic BLUP (ssGBLUP). In short, genetic groups can be fitted in ssGBLUP through regression effects, or by including them in the pedigree and computing the adequate combined pedigree and genomic relationship matrix. In this study, we applied the so-called Quaas and Pollak transformation to a system of equations for single-step SNP BLUP (ssSNPBLUP), such that genetic groups can thereafter be included in the pedigree. The example in this study showed that including the genetic groups in the pedigree for ssSNPBLUP allowed reduced memory burden and computational costs in comparison to genetic groups fitted as covariates.
遗传群，也称为未知或幻影父母群，通常用于奶牛遗传评估中，以说明无法用已知遗传关系解释的选择。随着基因组评估的出现，遗传群理论被扩展到所谓的单步基因组 BLUP（ssGBLUP）。简而言之，通过回归效应或通过将它们包含在系谱中并计算适当的综合系谱和基因组关系矩阵，可以在 ssGBLUP 中拟合遗传群。在本研究中，我们将所谓的 Quaas 和 Pollak 变换应用于单步 SNP BLUP（ssSNPBLUP）的方程组中，以便此后可以将遗传群包含在系谱中。本研究中的示例表明，与将遗传群拟合为协变量相比，将遗传群包含在 ssSNPBLUP 的系谱中可以减少内存负担和计算成本。
