Vol. 7, Issue 3 (2019)
Principal component analysis of rice varieties under bacterial leaf blight incidence
Author(s): Ranjith P, S Sahu, SK Dash, DN Bastia and BD Pradhan
Abstract: Present investigation was carried out to determine the relationship and genetic diversity among thirty six rice genotypes using Principal Component Analysis (PCA); The data was collected from Experimental Block 1, Department of Plant Breeding and Genetics, Odisha University of Agriculture and Technology, Bhubaneswar and were characterized using ANOVA model. This study gave empirical evidence on eleven yield and agro-morphological characters from which data were recorded. In this study, Component 1 had the contribution from the traits viz., Days to 50% flowering, Effective tillers per hill and Panicle length which accounted 43.84% to the total variability. Harvest index, Grain yield per plant, Chlorophyll content index at tillering stage have contributed 20.52% to the total variability in component 2. The remaining variability of 12.50% and 7.20% was consolidated in component 3 and component 4 by various traits like Panicle length and Grain yield per plant. The cumulative variance of 83.99% of total variation among 11 characters was explained by the first four axes. Thus the results of principal component analysis revealed wide genetic variability in this rice germplasm accessions. High BLB resistant trait with high genetic variability is expected to provide high level of gene transfer. These results can now be used by breeders to develop high yielding rice varieties and new breeding protocols for rice improvement during breeding programs.
Pages: 4184-4187 | 327 Views 76 Downloads
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How to cite this article:
Ranjith P, S Sahu, SK Dash, DN Bastia, BD Pradhan. Principal component analysis of rice varieties under bacterial leaf blight incidence. Int J Chem Stud 2019;7(3):4184-4187.