Genomic prediction across years in a maize doubled haploid breeding program to accelerate early-stage testcross testing.

Genomic prediction across years in a maize doubled haploid breeding program to accelerate early-stage testcross testing. Theor Appl Genet. 2020 Jun 30;: Authors: Wang N, Wang H, Zhang A, Liu Y, Yu D, Hao Z, Ilut D, Glaubitz JC, Gao Y, Jones E, Olsen M, Li X, San Vicente F, Prasanna BM, Crossa J, Pérez-Rodríguez P, Zhang X Abstract KEY MESSAGE: Genomic selection with a multiple-year training population dataset could accelerate early-stage testcross testing by skipping the first-stage yield testing, which significantly saves the time and cost of early-stage testcross testing. With the development of doubled haploid (DH) technology, the main task for a maize breeder is to estimate the breeding values of thousands of DH lines annually. In early-stage testcross testing, genomic selection (GS) offers the opportunity of replacing expensive multiple-environment phenotyping and phenotypic selection with lower-cost genotyping and genomic estimated breeding value (GEBV)-based selection. In the present study, a total of 1528 maize DH lines, phenotyped in multiple-environment trials in three consecutive years and genotyped with a low-cost per-sample genotyping platform of rAmpSeq, were used to explore how to implement GS to accelerate early-stage testcross testing. Results showed that the average prediction accuracy estimated from the cross-validation schemes was above 0.60 across all the scenarios. The average prediction accuracies estimated f...
Source: TAG. Theoretical and Applied Genetics - Category: Genetics & Stem Cells Authors: Tags: Theor Appl Genet Source Type: research