Wageningen University & Research Animal Breeding and Genomics, Wageningen, The Netherlands.
J Anim Breed Genet. 2021 Jul;138(4):432-441. doi: 10.1111/jbg.12533. Epub 2020 Dec 29.
In animal breeding, parents of the next generation are usually selected in multiple stages, and the initial stages of this selection are called preselection. Preselection reduces the information available for subsequent evaluation of preselected animals and this sometimes leads to bias. The objective of this study was to establish the minimum information required to subsequently evaluate genomically preselected animals without bias arising from preselection, with single-step genomic best linear unbiased prediction (ssGBLUP). We simulated a nucleus of a breeding program in which a recent population of 15 generations was produced. In each generation, parents of the next generation were selected in a single-stage selection based on pedigree BLUP. However, in generation 15, 10% of male and 15% of female offspring were preselected on their genomic estimated breeding values (GEBV). These GEBV were estimated using ssGBLUP, including the pedigree of all animals in generations 0-15, genotypes of all animals in generations 13-15 and phenotypes of all animals in generations 11-14. In subsequent ssGBLUP evaluation of these preselected animals, genotypes and phenotypes from various groups of animals were excluded one after another. We found that GEBV of the preselected animals were only estimated without preselection bias when genotypes and phenotypes of all animals in generations 13 and 14 and of the preselected animals were included in the subsequent evaluation. We also found that genotypes of the animals discarded at preselection only helped in reducing preselection bias in GEBV of their preselected sibs when genotypes of their parents were absent or excluded from the subsequent evaluation. We concluded that to prevent preselection bias in subsequent ssGBLUP evaluation of genomically preselected animals, information representative of the reference data used in the evaluation at preselection and genotypes and phenotypes of the preselected animals are needed in the subsequent evaluation.
在动物育种中,下一代的父母通常经过多个阶段进行选择,而这个选择的初始阶段被称为预选。预选减少了后续对预选动物进行评估的可用信息,这有时会导致偏差。本研究的目的是建立最小信息量,以便在后续评估基因组预选动物时,不会因预选而产生偏差,同时使用一步基因组最佳线性无偏预测(ssGBLUP)。我们模拟了一个育种计划的核心,该核心中包含了最近的 15 代种群。在每一代中,下一代的父母都是根据系谱 BLUP 在单阶段选择中进行选择的。然而,在第 15 代中,10%的雄性和 15%的雌性后代基于其基因组估计育种值(GEBV)进行预选。这些 GEBV 使用 ssGBLUP 进行估计,包括 0-15 代所有动物的系谱、13-15 代所有动物的基因型和 11-14 代所有动物的表型。在对这些预选动物进行后续的 ssGBLUP 评估时,逐个排除了来自不同动物群体的基因型和表型。我们发现,只有当后续评估中包括 13 和 14 代所有动物以及预选动物的基因型和表型时,才能无偏地估计预选动物的 GEBV。我们还发现,当预选动物的父母的基因型不存在或从后续评估中排除时,预选时淘汰的动物的基因型仅有助于减少其预选同胞的 GEBV 的预选偏差。我们得出结论,为了防止在后续的 ssGBLUP 评估中对基因组预选动物产生预选偏差,需要在后续评估中使用预选时评估所使用的参考数据的代表性信息以及预选动物的基因型和表型。