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Plants generally showed variation in their response to changing environment. Stability analysis has become one of the important tools for plant breeders in predicting the response of various genotypes over changing environments. It is imperative to have stable performing cultivars across environment to realize higher seed yield. The interaction of genotype with the environment has an important bearing in breeding improved varieties. Genotype × environment (G × E) interaction has a masking effect on the performance of a genotype and hence the relative ranking of the genotypes do not remain the same over different environments. Adaptability of genotypes to environmental fluctuation is important for the stable crop production over the environments. Several methods such as regression analysis, multivariate clustering analysis, multiplicate formulations such as additive main effects and multiplicative interaction besides nonparametric method may be used for the G × E interaction. Among all, the model is widely used for stability parameters. The genotypes with high mean`(X), regression coefficient (bi) close to unity and less/no deviation from regression (S2di) is found to be stable. The overall aim of this review is to emphasize the importance of G × E interaction and stability analysis in Mungbean for increasing the global Mungbean production.       Key words: Mungbean, stability analysis, genotype × environment (G × E) interaction, different sowing dates, stable genotypes.

Stability analysis and G E interaction in Mungbean (Vigna radiate L. Wilczek): A review