GGEBiplot and AMMI analysis of grain yield stability & adaptability behaviour of paddy (Oryza sativa L.) genotypes under different agroecological zones of Odisha

Abstract

The pattern of G ×E interaction(GEI) in shaping the stability & adaptability behaviour of 23 paddy (Oryza sativa L.) genotypes grown under five different test environments (Bhubaneswar, Motto, Chipilima, Jeypore and
Ranital) of Odisha state in India during kharif season of 2015 and 2016 and understanding these test environments in terms of their interrelationships, discriminating ability & representativeness for grain yield response of
genotypes was analyzed and graphically visualized using additive main effects and multiplicative interactions (AMMI) and GGEBiplot tools.
Overall analysis revealed that G17 (OR 2573-12), G2 (OR 2487-13), G14 (OR 2546-9) & G16 (OR 2573-11) were the most stable genotypes with above-average grain yield among all the genotypes owing to their lower
value of AMMI stability parameters (ASV, Di) and lesser degree of deviation due to GE component and higher genotypic contribution (G) in the mean & stability-based ranking of genotypes in GGEBiplot. Out of these
stable genotypes, based on the contribution of both genotype (G) and GE in GGEBiplot analysis, and AMMI stability parameters, G16 (OR 2573-11) was adjudged as the best genotype among all the genotypes as it
exhibited higher degree of yield response coupled with relatively higher stability for grain yield response across all the test environments. "Which-Won-Where" pattern and AMMI2 biplot study revealed G3(OR 2493-3) and G5(OR 2500-1) to be the potential genotypes for deployment in RANITAL & JEYPORE, and BBSR
environments, respectively, due to their high degree of specific adaptation for grain yield response in the agroclimatic regimes of these centres. Based on the evaluation of the environments, Bhubaneswar and Jeypore environments of Odisha were found to be suitable for selecting generally adapted genotypes and genotypes with specific adaptive response for yield, respectively.
These findings are useful in designing and deployment of environment-specific varietal interventions, selection of niche area of excellence for "quality seed production of specific genotype", agronomic zoning of genotypes
and judicious selection of elite genotypes with stable yield which may play a vital role in increasing rice production in future climate change scenario.