Stress assessment indices use as a suitable method for selecting drought resistant genotypes. For this purpose, an experiment was done on thirty cotton genotypes. The experimental design was split-plot in a randomized complete blocks design with three replicates in southern Iran, during 2017 and 2018 growing seasons. The main factor was irrigation levels and the sub factors were thirty cotton cultivars. Drought tolerance indices including stress susceptibility index, tolerance index, mean productivity, geometric mean productivity, stress tolerance index, yield index, yield stability index, harmonic mean, sensitivity drought index, drought response index, drought resistance index, relative drought index, stress susceptibility percentage index , modified stress tolerance index, abiotic tolerant index and stress susceptibility percentage index were evaluated. Results showed seed yield under stress and non-stress condition had positive and significant correlation with all stress indices expect SSI, SDI and DRI index. The genotypes that are selected based on principal component analysis, have higher yield in both stress and non-stress conditions and also show higher values for indices with positive correlation. According to three-dimensional plots, Super Elit Arian, Elit Arian, Khandagh, Sepid, Armaghan, Pak, Oltan, Opal and SB-35 genotypes were placed in zone A which had high yield in stress and non-stress conditions.In general, it can be concluded that these genotypes have high yield under stress condition and therefore are adapted to areas with drought stress and suitable for cultivation in the climates similar to this study.