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The concept of breeding cultivars with wide adaptation is itself well adapted by researchers. In fact, there are two broad categories of breeding strategies in crops: broad adaptation and location-specific adaptation. Considering the complexity of the growing environments in a country and the need to maximize yield, the strategy should be directed toward developing varieties with location-specific adaptation. Reliance on a few varieties renders crops growing highly vulnerable to pest and disease outbreaks. Varietal interactions depend on the environments, but these interactions involve the individual genotype´s physiological and genetic traits. In order to identify physiological traits related with environmental factors, there is a need for an effective statistical procedure. Additive main effects and multiplicative interaction (AMMI) analysis is ideal for this task. An AMMI statistical analysis is introduced as a tool to separate and quantify the GxE associated with yield and physiological components. This technique uses better statistical analysis for GxE partition and the bi-plot graphs useful in analyzing which genotype wins in an environment.

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