Association analysis and principal component analysis in green gram (Vigna radiata (L.) Wilczek) genotypes for yield and its contributing traits Aravinth R.1, Kingsly N.B. John1,*, Wilson D.1, Vasanthi Adlin Pricilla2, Kumar P. Dinesh3 1Division of Genetics and Plant Breeding, School of Agricultural Sciences, Karunya Institute of Technology and Sciences, Coimbatore, India 2Division of Entomology, School of Agricultural Sciences, Karunya Institute of Technology and Sciences, Coimbatore, India 3Division of Agricultural Statistics, School of Agricultural Sciences, Karunya Institute of Technology and Sciences, Coimbatore, India *E-Mail: johnkingslyjk@gmail.com
Online Published on 22 January, 2024. Abstract A study was carried out to assess character association and genetic diversity among green gram genotypes. The results of correlation coefficient analysis revealed a significantly positive correlation for the traits viz., plant height, number of primary branches, number of clusters per plant, pod length, and number of seeds per pod with single plant yield. The path analysis revealed that the number of pods per plant, number of seeds per pod, and hundred seed weight had the highest positive direct contribution to single plant yield. Pod length showed a low indirect contribution to the total variance and all other traits showed a negative contribution to total variance. Top Keywords Green gram, Correlation, Path analysis, Principal component analysis (PCA). Top |