Vol. 11, Issue 6 (2022)

Author(s):
N Reetisana, EVD Sastry, T Julia, Artibashisha Pyngrope and Y Sanatombi Devi

Abstract:
The present experiment was carried out to estimate genetic diversity among 76 rice genotypes of Manipur and 4 checks using principal component analysis for submergence tolerance in the experimental field of College of Agriculture, Central Agricultural University, Imphal, Manipur. Principal component analysis was used to evaluate the variation and for estimation of relative contribution of various characters towards total variability. The results revealed that in submerged condition first four components were with Eigen values greater than one and it accounted for 73.09% of total explained variability. The first principal component (PC1) contributed maximum of 27.73% followed by PC2 with 17.27%, PC3 contributed 15.60% and PC4 had contributed 12.50% towards total variability. The characters viz., filled grains per panicle, spikelet per panicle, grain yield per plant and spikelet fertility percentage explained maximum variance in PC1. Thus, principal component analysis revealed wide genetic variability in the rice genotypes under study.