Journal of Agronomy and Field Innovations

Background: The production of rice (Oryza sativa L.) is being affected increasingly by climate variability, such as heat stress, drought, flooding, and salinity. The interaction of genotype and environment (G×E) makes it hard to identify stable high-yield genotypes hence the importance of G×E.
Objectives: The study evaluated the extent of G×E interaction among rice genotypes and identified genotypes that were high-yielding, stable and widely adapted using AMMI analysis.
Materials and Methods: Twenty rice genotypes were evaluated in six contrasting environments representing irrigated, drought, flood, saline and heat-stress conditions in a Randomized Complete Block Design with three replications. Combined ANOVA, AMMI model, AMMI Stability Value (ASV) and Yield Stability Index (YSI) were used to analyze grain yield and grain yield-related agronomic traits.
Results: The largest percentage of the variation in yield was contributed by environmental effects followed by G×E interaction and genotype effects. Most of the interaction variation was explained by the first two interaction principal components. The genotypes CR-Dhan801, CR-Dhan805 and CR-Dhan812 exhibited high yield performance with low stability values, indicating broad adaptation while the other genotypes showed environment specific adaptation.
Conclusion: AMMI analysis proved effective in identifying stable and adaptable rice genotypes and can provide valuable support for climate resilient breeding programs. Among them, stable genotypes can be prioritized for cultivation and can be used as promising parents for developing stress-tolerant varieties of rice.