Genomic selection of agronomic traits in hybrid rice using an NCII population.

ABSTRACT: BACKGROUND:Hybrid breeding is an effective tool to improve yield in rice, while parental selection remains the key and difficult issue. Genomic selection (GS) provides opportunities to predict the performance of hybrids before phenotypes are measured. However, the application of GS is influenced by several genetic and statistical factors. Here, we used a rice North Carolina II (NC II) population constructed by crossing 115 rice varieties with five male sterile lines as a model to evaluate effects of statistical methods, heritability, marker density and training population size on prediction for hybrid performance. RESULTS:From the comparison of six GS methods, we found that predictabilities for different methods are significantly different, with genomic best linear unbiased prediction (GBL

SUBMITTER: Xu Y 

PROVIDER: S-EPMC5945574 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature