The GGE-biplot model is used in this study to evaluate the 24 genotypes (G), five environments (E), and GE interaction for lint cotton yield (kg ha^-1) and to identify high-yielding and stable cotton genotypes under normal irrigation (NI) and drought irrigation (DI) conditions at Sakha Agriculture Research Station, Kafr El-Sheikh Governorate, Egypt. The combined ANOVA revealed that the G, E, and GE interaction had a highly significant effect on lint cotton yield. The effects of E (36.18%) and GE interaction (59.45%) explained the majority of the variation in lint cotton yield under NI and DI conditions, respectively. The GE interaction in the GGE biplot has been partitioned among the PC1 and PC2, together accounting for 95.80% and 65.60% of the total G+GE variation under NI and DI conditions, respectively. Drought stress drastically reduced lint cotton yield across five environments compared with NI conditions. The GGE biplot stability and adaptability revealed that genotypes G20 and G5 were the most stable and productive across environments, unlike the genotypes G1 and G18 under NI and DI conditions, respectively. The GGE biplot performed well in the GE interaction study, and it provides a clear idea of genotype stability behavior in both irrigation conditions. According to the GGE biplot model, G5 can be recommended as the most biological stable genotype in terms of both stability and lint cotton productivity across drought stress environments and poor climatic conditions.