Correlation, path and principal component analysis of few agronomical traits in few elite lines of chickpea (Cicer arietinum L.)

Abstract

Chickpea (Cicer arietinum L.) one the important Rabi season legume crops ranked third after common bean and field pea. For better yield improvement in chickpea, trait variability, genetic relationship and genetic diversity need to be known for possible yield improvement. Basing on this, the present investigation was carried out to know the effect of various traits on yield. The experimental material comprised of four elite chickpea genotypes grown in alpha lattice design with three replications during Rabi 2020-21. The data of five quantitative traits were analyzed for correlation, path coefficient and principle component analysis in four different elite lines of chickpea. The present study has led to the understanding of interrelation and the direct and indirect effect of various traits with yield. This may help in finding out the traits that need a better focus in-order to improve the yield of the crop. This may provide guidelines in the selection of chickpea genotypes for development of high yielding varieties.