YIELD STABILITY ANALYSIS BY AMMI MODEL AND ESTIMATION GENOTYPE × ENVIRONMENT INTERACTION OF BORO RICE (Oryza sativa) IN BANGLADESH

Abstract

Considering the yield stability of potential rice genotypes is the essential stage for perfect evaluation. Therefore, this study determined the Genotype × Environment Interaction (GEI) and yield stability performance of 10 boro rice genotypes in four environments namely Agronomy Research Field of Hajee Mohammad Danesh Science and Technology University, Dinajpur; Bangladesh Rice Research Institute (BRRI) Rangpur; Agronomy Research Field, Bangladesh Agricultural University, Mymensingh and Agronomy Research Field of Sylhet Agricultural University through 2022 boro season. The experiment used Completely Randomized Design (CRD) with three replications. Combined analysis and Additive Main effects and Multiplicative Interaction (AMMI) model analyzed yield stability performance. ANOVA result showed that there were highly significant differences among the genotypes for maximum characters. The AMMI analysis showed the environment explained 10.23% whereas the GEI accounted for 9.17% and the genotypes captured 80.60 % which significantly affected the grain yield. The environment, genotype main effects, and the GEI were all highly significant. The study indicated that the tested genotypes, BRRI dhan 89 (6922 kg ha-1) with a high and BRRI dhan 68 gave the lowest yield (5618 kg ha-1), respectively. Also genotypes BRRI dhan 100, BRRI dhan 28, and BRRI dhan 67 gave the highest grain yield and Dinajpur environment with a high mean value of (7556 kg ha-1) had great stability across the four environments. Therefore, the AMMI model might be a valuable tool for identifying the most suited and stable high yielding boro rice genotypes for wide regions in Bangladesh as well as for varied environmental conditions.