Improving Response in Genomic Selection with a Population-Based Selection Strategy: Optimal Population Value Selection

• DOI: 10.1534/genetics.116.197103
• Publication Date: 2017-05-20T01:00:23Z
• Authors: Matthew Goiffon; Aaron Kusmec; Lizhi Wang; Guiping Hu; Patrick S Schnable
• Keywords: Genetic gain; Truncation selection

Abstract Goiffon et al. introduce the optimal population value (OPV) as a new metric for genomic selection. OPV is based on maximum possible haploid value... Genomic selection (GS) identifies individuals inclusion in breeding programs sum of their estimated marker effects or values (GEBVs). Due to significant correlation between GEBVs and true values, this has resulted enhanced rates genetic gain compared traditional methods Three extensions GS, weighted (WGS), (OHV) selection, genotype building (GB) have been proposed improve long-term response, facilitate efficient development doubled haploids. In separate simulation studies, these were shown outperform GS under various assumptions. However, further potential improvement exists. paper, introduced subset population. Instead evaluating merit WGS, OHV method evaluates set GB. After testing extensively, GB found achieve greater responses than OHV, with outperforming across most percentiles. These results suggest paradigm which an individual’s dependent upon its complementarity others.