Genome wide analysis of flowering time trait in multiple environments via high-throughput genotyping technique in Brassica napus L.

ABSTRACT: The prediction of the flowering time (FT) trait in Brassica napus based on genome-wide markers and the detection of underlying genetic factors is important not only for oilseed producers around the world but also for the other crop industry in the rotation system in China. In previous studies the low density and mixture of biomarkers used obstructed genomic selection in B. napus and comprehensive mapping of FT related loci. In this study, a high-density genome-wide SNP set was genotyped from a double-haploid population of B. napus. We first performed genomic prediction of FT traits in B. napus using SNPs across the genome under ten environments of three geographic regions via eight existing genomic predictive models. The results showed that all the models achieved comparably high accuracie

SUBMITTER: Li L 

PROVIDER: S-EPMC4366152 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature