Evaluation of rice genotypes for stability and high yielding is crucial for maintaining rice production and ensuring food security. These evaluations are crucial, especially when the breeding program's goal is to choose lines with high adaptability and consistency. This research looked at how G and E interacted in 10 different contexts. Multi environment trials (MET) data were studied using the genotype of GGE main effect (G) and genotype by environment interaction (GE) biplot graphical tool. A two-dimensional GGE biplot was created using the first 2 main components (IPC1 and IPC2), which were utilized to account for percentages of 81.6% and 11.9%, respectively, of the square sums of the GE interaction. A joint ANOVA analysis of the grain yield data identified highly significant (P < 0.01) changes among all sources of variation. Environmental (E), genotypic (G) and G X E interactions accounted for 44.98, 34.42 and 17.48% of the total squares, respectively. Average tester opinion showed that genotype G2 had the highest average yield and genotype G1 had the highest stability. Of the nine environments, E4 and E7 were the most demanding (beneficial), while E6 and E9 were the brightest. G1 and G2 can be tailored to different environments in southern Bangladesh. GGE biplots suggested the presence of environments with G2 and G1 genotypes called BRRI dhan76 and BRRI dhan77, respectively. The ideal genotype biplots, rendering to genotypes G1 and G2, are the better genotypes, representing high average yields and high performance stability across test sites.

Keywords: GGE, multi-environments, Genotype by environment interaction, stability, tidal submergence, rice (Oryza sativa L.).