In present era of climate change, it’s a big challenge for the breeders to minimize the yield losses specifically caused by the G x E interactions. The basic intention of present study was the assessment of stability in performance of diverse wheat genetic material in various parts of the country. In the study, 30 diverse advance wheat genotypes were sown at 6 locations namely Islamabad, Chakwal, Pirsabak, Bahawalpur, Tandojam and Faisalabad. By Pooled Analysis of variance (ANOVA), highly significant differences were obtained for the main effects of genotypes, environments and genotype x environment interaction (p<0.01). Average yield performance across the environments was found to be varying in between 2.58 to 5.29 t/ha while in a comparison of genotypes’ average it ranged from 4.73 t/ha (G1) to 3.482 t/ha (G30). Based on the stability parameters, fives genotypes (G13, G16, G19, G20 & G23) were referred to as better yielding and more stable as these were having above average yield, regression coefficient near to unity and deviation from regression around zero. It is evident from heat map that some genotypes exhibited higher yield in certain set of environmental conditions as compared to others because of significant affection between genotype and environment. In GGE bi plot about 65 % variability was explained by two components (PC1 39.1% and PC2 25.2%). Here in this study the genotype G21 was best in terms of yield and stability for the environments. In order to figure out environment specific genotypes its vivid how efficiently the genotypes performed for specific environments so highest yielding genotype can be picked from a sector for accompanying environment.

Keywords: Adaptability, GGE Biplot, Principal Component Analysis, GxE Interaction, Heat Map