Principal component analysis for assessment of genetic diversity in upland paddy for Bastar plateau

Prafull Kumar
Abhinav Sao
Gupta, A. K.
Manish Kumar

Abstract

An experiment was conducted with 18 IRRI and Raipur originated rice genotypes to assess the heritable diversity among the parent lines during Kharif 2013 and 2014. First five principal components exhibited more than one eigen values and accounted for 82 percent of total variation, comprised of 38.95 (PC I), 20.80 (PC II), 14.67 (PC III) and 10.69 (PC IV). The genotypes viz., R-1570-2649-1-1546-1 and IR-83381-B-B-137-3 scored maximum in PCA I and II, respectively. On the basis of Ward’s linkage cluster analysis, five clusters were formed to identify relative genetic closeness among test genotypes. Cluster II and III harboured maximum of five genotypes while cluster V with two IRRI genotypes assuring comparative diversity of exotic material. Combined analysis of principal components showed scattered position of genotypes across the plot which indicated that accessions have sufficient genetic diversity. Genotypes IR-83381-B-B-137-3, IR-1570-2649-1-1546-1 and R-RF-65 had maximum distance from other genotypes were found to be more divergent and can be utilized for future upland rice breeding programmes.

Keywords Upland rice, water stress, genetic diversity, genotypic clustering.
Published 07/04/26