Author(s):

Brindaban Singh and Dr. SP Mishra

Abstract: Assessment of genetic diversity, stability, and association among the important economic traits along with understanding their direct and indirect effects over grain yield per plant are crucial for the choice of parents in the breeding program and selection strategy for improvement in yield and other traits. Therefore, the present investigation entitled “Stability and diversity analysis of economic traits of in different genotypes of chickpea’’ was carried out with the major aim of to assess the genetic parameters, genetic diversity, the association among the different economic traits, and to assess the stability of chickpea genotypes. The experiment was conducted in Randomized Complete Block Design (RCBD) with two replications during rabi season for three consecutive years from 2014-16at Rajaula farm of Faculty of Agriculture, Mahatma Gandhi Gramodaya Vishwa Vidyalaya Chitrakoot (MGCGV), Satna (M.P.). The results revealed high variability of most of the economically important traits. Genotypes, Ujjawala, KAK 2, PG 0517, HK 1 and Shubhra recorded with superior and stable yield performance across the environments that can be used as a parent in future breeding programs. High GCV and PCV along with high heritability and genetic advance as percent of mean was reported for grain yield per plant, hundred seed weight, harvest index and biological yield per plant. The correlation and path analysis exhibited positive association and direct effects of harvest index, biomass per plant, hundred seed weight, number of seeds per plant and number of pods per plant on grain yield per plant indicating that the direct selection for these traits would improve the grain yield in chickpea. Pooled analysis of variance revealed significant genotypic, environment and genotype × environment interaction (GEI) variances for all the traits indicating the influence of environmental factors on the expression of different economically important traits. Diversity analysis revealed grouping of genotypes into 4 to 5 clusters at individual environment and six clusters across the environment with highest contribution of hundred seed weight (53.68%) followed by number of nodes per plant (11.05%), biomass yield per plant (7.37%), grain yield per plant (6.84%) and number of pods per plant (6.32%) towards total genetic divergence. The present study concluded significant variation among the genotypes for different important economic traits with the identification of promising stable genotypes that can be used as a parent in breeding programs.

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