Principle Component and Cluster Analyses for Yield and Yield Components in Some Indigenous Rice (Oryza sativa L.) Genotypes

Abstract:

The present study was conducted with 25 rice genotypes at research field of Institute of Agriculture Sciences, Banaras Hindu University, Varanasi during the kharif, 2012 to assess the extent and pattern of genetic divergence. Cluster analysis exhibited that genotypes fall into four clusters, in which cluster I is mono genotypic cluster, indicated the uniqueness of the genotype from rest ones. Principle component analysis (PCA) showed that the first three PCs had eigen value >2.00 and accounted 60% of total variation. IC 337588 was found most suitable genotypes may be chosen and involved in hybridization programme as a one of the parent for rice improvement. IC 337588 and IC 145605 were found most divergent with each other indicated the possibility of improvement of rice by manipulation of various traits viz., PL, DFF, DM, NETPI, GW, GWPa, GYP and HI. Besides, the representative genotypes from each cluster may also be utilized in hybridization programme to get good heterotic response.