An F5 population of 150 lines derived from a cross between sepidroud (Indica) and Gharib (Indica) cultivars were evaluated in a drought stress and normal conditions in a field to detect QTLs of drought tolerance index and its associated traits. Based on the genetic linkage map containing 131 polymorphic SSR and 52 AFLP markers which covered 14.1063 cM of the rice genome with an average distance of 5.81 cM between markers, 32 main effect QTLs (M-QTLs) and 21 epistatic QTLs (E-QTLs) were identified for grain yield and grain weight in normal and stress conditions and eight drought tolerance indices by QTL IciMapping software using inclusive composite interval mapping (ICIM) analysis. For grain yield one M-QTL and one E-QTL and two M-QTLs and two E-QTLs were detected in normal and stress conditions, respectively. For grain weight also was identified five MQTLs and one E-QTL in normal condition and four M-QTLs in stress condition. For each mean productivity index (MP), geometric mean productivity (GMP), harmonic mean (HM) and stress tolerance index (STI) three QTLs on chromosomes 1, 7 and 11, for each stress susceptibility index (SSI), Yield stability index (YSI) and Yield index (YI) two QTLs on chromosomes 1 and 7 and for tolerance index (TOL) two QTLs on chromosomes 6 and 7 were detected. The phenotypic variation controlled by each M-QTL and E-QTL ranged from 5.93 to 21.12% and 3.98 to 18.86%, respectively. The total phenotypic variation of M-QTLs for grain yield and grain weight in normal and drought conditions and indices MP, GMP, HM, TOL, SSI, STI, YI and YSI was 7.43%, 18.6%, 49.71%, 31.09%, 16.27%, 16.01%, 16.2%, 23.84%, 19.26%, 19.11%, 18.6% and 19.26%, respectively. The main effect of genomic regions associated with grain yield under normal and drought stress conditions, and drought tolerance indices can be used in breeding programs to produce highyielding cultivars and yield stability.