Association Analysis Morphological Traits in Rice (Oryza sativa L) using SSR markers in terms of flooding and drought

Given the importance of research related to abiotic stress, this study is to identify markers significantly associated with traits associated with drought tolerance in rice was done. In this study 36 microsatellite markers (SSR) and 59 rice genotypes were used in both normal and drought conditions. A total of 189 alleles in 36 microsatellite markers with an average of 25.5 alleles per locus were observed. RM5647 represents the highest number of alleles (12) and RM462 and 6022 RM has the lowest number of alleles (2). Average polymorphic information content was estimated (0.58) that RM5647(0.81) and RM6022 (0.32) had highest and lowest PIC, respectively. In this study, 21 agronomic traits along with eight Stress Tolerance Index (SSI, STI, MP, GMP, HM and STS) was measured. Association analysis using matrix structure of the population and statistical models GLM and MLM was performed. 11 and 22 informative markers were determined in normal and drought condition using MLM model respectively. Under normal conditions, RM5780 had the highest coefficient of determination and explained 29.92% variation of grain yield. In drought condition, RM519 was related to days to heading and explained 39.69% of variation. 6 significant markers identified for eight indicators evaluated. RM441 had the highest percentage of phenotypic variation (26.11%) of TOL variation. According to the results, microsatellite markers detected in the present study after specification and being confirmed are suitable for using marker-assisted selection.