Association and structure analysis of some of rice (Oryza sativa L.) genetic resources based on microsatellite markers

The economic value of cultivar depends on different characteristics. Thus detailed knowledge on genetic behavior and identification of genomic loci involved in control of these traits could help to breeder to improve plant cultivars. In this investigation, relation and linkage among 25 microsatellite markers with some of important agromorphological traits in 121 different rice cultivars and lines were evaluated based on GLM and MLM association models using the Structure and Tassel software. Based on the 25 microsatellite markers used in this study, population genetic structure divided into five subpopulations (K=5) that barplat results also confirmed it. In association analysis based on GLM and MLM models, 26 and 30 loci showed significant relations with the evaluated traits, respectively, and confirmed considerable variations of this studied traits. In the present study, identified common markers between of some of assayed traits such as significant relation of RM5 marker with flag leaf length and width traits and RM3355 with days to 50% flowering and plant height traits can be due to pleiotropic effects or linkage between of genomic regions involved in these traits. Also RM190 and RM6080 markers with higher R2 were related to paddy length and grain yield, respectively, that these related region could be saturated and sequenced after complementary experiments and confirmation for identification of coding genes of these traits.