Additive Main Effects and Multiplicative Interactions Analysis of Yield Performances in Rice Genotypes under Coastal Saline Environments

Abstract

Plant Breeders evaluate their germplasm in multi-environment to study the performance and adaptation for specific or general environment. The objective of the present investigation was to analyse the pattern of Genotype x Environment (G x E) interaction for grain yield of 46 genotypes by Additive Main effects and Multiplicative Interaction (AMMI) model using the data generated from three saline stress environments of east coastal region of Tamil Nadu, India. The results showed highly significant genotypic and G x E interaction. The G x E interaction influenced the relative ranking of the genotypes across saline stress environment condition. Among the genotypes tested, G45, G26, G27 G35 and G34 showed low interaction effect , with score nearest to zero with above average yield. While two genotypes, G36 and G19 exhibited high positive interaction effect, gave the highest mean grain yield and is better suited to favourable environment. Similarly, AMMI characterized the environments and identified E2 as a favourable environment for the better expression of the trait studied.