Association mapping for yield and grain quality traits in rice (Oryza sativa L.)
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Data
2010-07
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Resumo
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 the
marker-trait association across years and cultivation. The significant association detected between amylose content
and RM190 was in agreement with previous QTL analyses in the literature. Herein, the feasibility of undertaking association
analysis in conjunction with germplasm characterization was demonstrated, even when considering low
marker density. The high linkage disequilibrium expected in rice lines and cultivars facilitates the detection of
marker-trait associations for implementing marker assisted selection, and the mining of alleles related to important
traits in germplasm.
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Association analysis, Core collection, Genetic structure
Citação
BORBA, Tereza Cristina de Oliveira et al. Association mapping for yield and grain quality traits in rice (Oryza sativa L.). Genetics and Molecular Biology, Ribeirão Preto, v. 33, n. 3, p. 515-524, July 2010.