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Wide use of AMMI model, hybrid of additive and multiplicative components, to separates the additive variance from the multiplicative variance and application of principal component analysis (PCA) to the interaction portion (Gauch, 2013; Bocianowski et al., 2019). This analysis has been proved to be an effective process to captures a large portion of the GxE interaction sum of squares, thereby separating main and interaction effects (Ajay et al., 2019).

international journal of current microbiology and applied sciences

GxE Interaction Analysis of Wheat Genotypes Evaluated under Restricted Irrigated Timely Sown Conditions of North Eastern Plains Zone using AMMI &amp; Yield Stability Measures