Path coefficient analysis in fenugreek genotypes

Abstract

A set of 24 genotypes were evaluated to study the nature and association among different characters. The experiment was laid out in randomized block design with two replications. Path coefficient analysis was carried out using genotypic correlation coefficient for average weight of plant (g) as dependent variable. Path analysis revealed that the number of leaves had highest positive direct effect on average weight of plant followed by number of root nodules, plant height along with root, leaf area and biological yield. Whereas total chlorophyll content had the highest negative direct effect on average weight of plant followed by plant height, number of secondary roots, root length and days to harvesting.