PRINCIPAL COMPONENT ANALYSIS FOR ASSESSMENT OF GENETIC DIVERSITY IN UPLAND PADDY FOR BASTAR PLATEAU
Keywords: Upland rice, water stress, genetic diversity, genotypic clustering.
AbstractThe Experiment was conducted in S. G. College of Agriculture and Research Station, Jagdalpur, Chhattisgarh, India, with 18 IRRI and Raipur originated genotypes to assess the heritable diversity among crop breeding parent material during Kharif 2013 and 2014. First five principal components exhibited more than one eigen values and accounted 82 percent of total variation, comprised of 38.95 (PC I), 20.80 (PC II), 14.67 (PC III) and 10.69 (PC IV). In the scores of genotypes, PCA I showed R-1570-2649-1-1546-1 with maximum score and R-RF-84 to be minimum while, IR-86857-46-1-1-2 scored minimum and IR-83381-B-B-137-3 scored maximum in PCA II. 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 two IRRI genotypes assuring comparative diversity of exotic material. The Principal component analysis from combined analysis of all genotypes substantiated the results that accessions have sufficient genetic diversity with scattered position of genotypes across the plot. Genotypes IR-83381-B-B-137-3, IR-1570-2649-1-1546-1 and R-RF-65 had maximum distance from other genotypes indicating to be most distinct one and can be utilized in coming upland research
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