Estimation of Correlation and Path Analysis in Quantitative Characters of Cowpea (Vigna unguiculata (L.) Walp.)
S. Akhil Naga Raju *
Department of Genetics and Plant Breeding, Naini, Agricultural Institute, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj–211007 (U.P.), India.
Gaibriyal M. Lal
Department of Genetics and Plant Breeding, Naini, Agricultural Institute, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj–211007 (U.P.), India.
*Author to whom correspondence should be addressed.
Abstract
The experiment was carried out in Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, U.P. The experiment included 20 cowpea genotypes with three replications in a Randomized Block Design. The study was carried out to estimate the genetic variability, heritability, genetic advance, correlation coefficient analysis and yield contributing traits, direct and indirect effects of yield component on yield through path analysis. The analysis of variance revealed the existence of all the traits. Hence the data on the all 14 traits which showed significance difference among the entries were subjected to further statistical analysis. Maximum genotypic coefficient of variation and phenotypic coefficient of variation for harvest index and biological yield. At the phenotypic and genotypic levels positive significant connection with Harvest index, Days to 50% flowering and Days to 50% pod setting. Genotypes EC 58905, IC 259063, IC 201098, IC 34009, and IC 20854 were found to be superior for seed yield per plant.
Keywords: Cowpea, genetic variability, correlation, path analysis