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Comparative study on various statistical methods for genotype × environment interaction of chickpea genotypes

Journal of Pharmacognosy and Phytochemistry · 2018 · Vol. 7(4) · pp. 2255–2257

Abstract

Fourteen chickpea genotypes were evaluated using Randomized complete block design with three replications for evaluating genotype x environment interaction (GEI) and yield stability across 6 environments during 2015-2016 at Chhattisgarh. The objectives were to compare various statistical methods of analyzing yield stability and to determine the most suitable parametric procedure to evaluate and describe yield stability of chickpea genotypes performance under Chhattisgarh conditions. Several statistical analyses were conducted: Coefficient of Variance (CVi); Wricke’s Eco valence parameter (Wi); Lin and Binns cultivar performance measure (Pi); Finlay and Wilkinson’s regression coefficient (bi); and Shukla’s stability variance parameter and Additive main effect and multiplicative interaction (AMMI).

Genetics and Plant BreedingAgricultural pest management studiesGenetic and Environmental Crop StudiesAmmiRandomized block designMathematicsMain effectStability (learning theory)StatisticsGene–environment interactionParametric statisticsMultiplicative functionCoefficient of variation
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