Animal Breeding and Genomics, Wageningen University and Research, Droevendaalsesteeg 1, 6700AH, Wageningen, The Netherlands.
Genet Sel Evol. 2024 May 21;56(1):41. doi: 10.1186/s12711-024-00899-2.
Breeding programs are judged by the genetic level of animals that are used to disseminate genetic progress. These animals are typically the best ones of the population. To maximise the genetic level of very good animals in the next generation, parents that are more likely to produce top performing offspring need to be selected. The ability of individuals to produce high-performing progeny differs because of differences in their breeding values and gametic variances. Differences in gametic variances among individuals are caused by differences in heterozygosity and linkage. The use of the gametic Mendelian sampling variance has been proposed before, for use in the usefulness criterion or Index5, and in this work, we extend existing approaches by not only considering the gametic Mendelian sampling variance of individuals, but also of their potential offspring. Thus, the criteria developed in this study plan one additional generation ahead. For simplicity, we assumed that the true quantitative trait loci (QTL) effects, genetic map and the haplotypes of all animals are known.
In this study, we propose a new selection criterion, ExpBVSelGrOff, which describes the genetic level of selected grand-offspring that are produced by selected offspring of a particular mating. We compare our criterion with other published criteria in a stochastic simulation of an ongoing breeding program for 21 generations for proof of concept. ExpBVSelGrOff performed better than all other tested criteria, like the usefulness criterion or Index5 which have been proposed in the literature, without compromising short-term gains. After only five generations, when selection is strong (1%), selection based on ExpBVSelGrOff achieved 5.8% more commercial genetic gain and retained 25% more genetic variance without compromising inbreeding rate compared to selection based only on breeding values.
Our proposed selection criterion offers a new tool to accelerate genetic progress for contemporary genomic breeding programs. It retains more genetic variance than previously published criteria that plan less far ahead. Considering future gametic Mendelian sampling variances in the selection process also seems promising for maintaining more genetic variance.
繁殖计划是根据用于传播遗传进展的动物的遗传水平来判断的。这些动物通常是种群中最好的。为了使下一代非常优秀的动物的遗传水平最大化,需要选择更有可能产生表现最佳后代的父母。个体产生高表现后代的能力因他们的育种值和配子方差的差异而有所不同。个体之间配子方差的差异是由异质性和连锁的差异引起的。之前已经提出了使用配子孟德尔抽样方差的建议,用于有用性标准或 Index5,在这项工作中,我们通过不仅考虑个体的配子孟德尔抽样方差,而且还考虑它们潜在后代的配子孟德尔抽样方差,扩展了现有方法。因此,本研究中开发的标准计划提前一代。为了简单起见,我们假设所有动物的真实数量性状基因座(QTL)效应、遗传图谱和单倍型都已知。
在这项研究中,我们提出了一个新的选择标准 ExpBVSelGrOff,它描述了通过特定交配的选定后代产生的选定孙代的遗传水平。我们通过在 21 代持续繁殖计划的随机模拟中比较我们的标准与其他已发表的标准来证明概念。ExpBVSelGrOff 的性能优于所有其他已发表的标准,例如文献中提出的有用性标准或 Index5,而不会牺牲短期收益。仅在 5 代之后,当选择非常强(1%)时,与仅基于育种值的选择相比,基于 ExpBVSelGrOff 的选择实现了 5.8%的商业遗传增益增加,并保留了 25%的遗传方差,而不会牺牲近交率。
我们提出的选择标准为当代基因组繁殖计划提供了加速遗传进展的新工具。与计划提前时间较短的先前发表的标准相比,它保留了更多的遗传方差。在选择过程中考虑未来的配子孟德尔抽样方差似乎也有希望保持更多的遗传方差。