Promising varieties of wheat were used in Chhattisgarh state in across 21 varied environments for genotype x environment interaction (GEI) and yield stability during three year (2011-12 to 2013-14). The Additive Main Effects and Multiplicative Interaction (AMMI) statistical model was used to describe GEI and adaptation to certain environments. The combined ANOVA indicated significant differences between varieties and environments as main effects. The IPCA 1 axes explained 49.72% of the total G x E interaction with the IPCA 2 axes explaining 21.06% of the interaction. They were significant in the ANOVA analysis and that indicated that the AMMI stability value was the best fit for the available data. ASV ranking provides the most stable GW-322 (G6), Sujata (G1) and GW-273(G5), all these wheat varieties are early maturing. The AMMI 2 model was used for this data set described by adaptation map. Wheat varieties GW-273 (G5) and GW-322 (G6) are never highest and so there is always a better choice.