A QTL approach to determine the association between yield and lodging traits and molecular markers

Abstract

A set of 32 rice genotypes were analyzed with 23 molecular markers. The analysis was performed by using single factor ANOVA in MS Excel software and the association between genotypic and phenotypic data was established. The significance of marker trait associations were identified by a P-value (<0.05) and degree of association was exhibited by phenotypic variance in per cent value. Result exhibited that a total of 11 molecular markers were significantly associated with different lodging, yield and related traits traits. RM1 on chromosome 1 exhibited the pleiotropic effect for plant height, 1000 grain weight, length of 4th internode from the top and RM 168 exhibited the pleiotropic effect for plant height, and basal internode length.