Association mapping for yield and grain quality traits in rice (Oryza sativa L.).

ABSTRACT: Association analysis was applied to a panel of accessions of Embrapa Rice Core Collection (ERiCC) with 86 SSR and field data from two experiments. A clear subdivision between lowland and upland accessions was apparent, thereby indicating the presence of population structure. Thirty-two accessions with admixed ancestry were identified through structure analysis, these being discarded from association analysis, thus leaving 210 accessions subdivided into two panels. The association of yield and grain-quality traits with SSR was undertaken with a mixed linear model, with markers and subpopulation as fixed factors, and kinship matrix as a random factor. Eight markers from the two appraised panels showed significant association with four different traits, although only one (RM190) maintained th

SUBMITTER: de Oliveira Borba TC 

PROVIDER: S-EPMC3036121 | biostudies-literature | 2010 Jul

REPOSITORIES: biostudies-literature