Genetic variability, path analysis and relationship among quantitative traits in chickpea (Cicer arietinum L.) genotypes
Brindaban Singh, Vinod Kumar and SP Mishra
The present investigation was carried out in Randomized Complete Block Design (RCBD) with two replications during rabi season for three consecutive years from 2014-16 at Rajaula farm of Faculty of Agriculture, Mahatma Gandhi Gramodaya Vishwa Vidyalaya Chitrakoot (MGCGV), Satna (M.P.) to determine the extent of genetic variation, association and their interrelationship of yield with yield attributing traits among twenty chickpea genotypes. Assessment of genetic variability 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. The results revealed high variability of most of the economically important traits. 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 suggesting that these traits are good yield enhancing indices. 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.
How to cite this article:
Brindaban Singh, Vinod Kumar, SP Mishra. Genetic variability, path analysis and relationship among quantitative traits in chickpea (Cicer arietinum L.) genotypes. Pharma Innovation 2021;10(5):1564-1568.