Plant breeders across the world frequently employ GGE Biplot analysis. Purpose of this study was to evaluate the GXE interaction and stable yield performance of 15 rice (Oryza sativa L.) landraces of southern India grown under rainfed ecosystem. All the rice landraces were sown in a randomized complete block design with three replications in five consecutive years in rabi season from 2018-19 to 2022-23 at Agricultural Research Station, Tamil Nadu Agricultural University, Paramakudi, Tamil Nadu. The pooled ANOVA over tested years / seasons revealed that both the genotypes and GEI (GXE interaction) significantly influenced grain yield and rice landraces performed contrarily in diverse testing years due to cross over nature of GEI. Biplots with the genotype main effect and GEI were used to study and display the trend of the interaction elements. About 95 % of the overall variation in the GGE model was explained by the first two principal components. (PC1 = 74.8 %, PC2 = 19.9 %). The “what-won-where” polygon was shown that G8 (Kallurundaikar), G11 (Kattanur), G4 (Sivapuchithiraikar) G5 (Kuruvaikalanjium) and G7 (Mattaikar) performed well in each environment and they were the highest-yielding among the landraces tested on the field. In terms of discriminating and representativeness for the environments, rabi 2019-20 was regarded as superior production season as per selectiveness for the testing sites. The rice landraces selected through this study may be utilized as parental lines in breeding for yield enhancement in rainfed situation of southern India or similar agro-ecological zones.