Wheat is one of the most produced cereals in the world and is used in the manufacture of various products that are consumed daily. As a result, there is a need to produce quality wheat in various regions of the world, to meet the demand and reduce transportation costs. It is a versatile crop, all over the world, with a wide number of cultivars adapted to local conditions. This work had the objectives of comparing the values of the genotype-environment interaction (GE) obtained using the additive main effects and multiplicative interaction model (AMMI) and in the analysis of the linear regression (LR) and comparing the production stability of common wheat genotypes. Eleven genotypes were evaluated in different environments (combinations of location and year) based on the data analysis obtained in field trials that took place in the period from 2015 to 2019. The experimental design used was randomized blocks, with two repetitions. The sum of squares (SS) of the regressions only explained 21.6% of the SS of the GE interaction, while the first component (PC1) of the analysis of the main components explained 46.3%. The SS of PC1 was twice greater than the SS of all combined regressions (joint, genotypic and environmental). Therefore, the AMMI analysis was more efficient in describing the GE interaction than the LR.