Abstract

The present study was conducted on six chilli genotypes across 4 environments in randomized complete block design with three replications during 2019-20 to evaluate the performance of chilli genotypes with higher yield and stability. The AMMI (Additive main effect and Multiplicative Interaction) model was used to estimate the genotype-environment interaction. Genotypes and environments were significantly varied for all the traits, which revealed the presence of genetic variability in the materials under study. The total sum of squares for genotype (G), environment (E) and G × E interactions ranged from 27.44 to 80.49%, 1.26 to 45.09% and 14.60 to 62.67% interactions respectively. The genotypes account large proportion (> 50%) of total variation for Number of fruits per plant and fruit length, which means that genotype, was more important factor for these traits. GGE biplot methodology was used for graphical display of yield data after subjecting the genotypic means of each environment to GGE biplot. Principle components Analysis (PC1 and PC2) were used to depict the stability and superiority performance of the genotypes for yield and yield related traits. the chilli genotypes Co631(G6) and Co632 (G5) were stable and had comparatively less fluctuation for yield and yield related trait across environments which was found promising for recommendation and release for wider adapted variety. Cross over GEI across environment and among genotypes showed that the most general adopted environment with high mean performance, Magura has the best condition for growing chilli.

Key words: Chilli genotypes, GE interaction, AMMI, GGE biplot and Yield