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Vol. 9, Issue 7 (2020)

Principal component analysis for yield and quality traits of coloured rice (Oryza sativa L.)

Author(s):
Kumar Saurabh Singh, Y Suneetha, D Sandeep Raja and T Srinivas
Abstract:
The present investigation was undertaken with 33 coloured and white rice genotypes to estimate genetic divergence of the genotypes for yield and quality traits. The study involved seven red pericarp, eight black pericarp and 17 white rice genotypes, in addition to the check, BPT 5204. Principal component analysis was utilized to evaluate the variation and to estimate the relative contribution of various traits for total variability. Results revealed five principal components with eigen value > 1. These components contributed for a total variability of 78.2632 per cent. Component 1 (PC 1) had contributed maximum of 34.9423 per cent while PC 2 had contributed to 18.7909 per cent, PC 3 had contributed 11.2637 per cent, PC 4 had contributed 6.9756 and PC 5 had contributed to 6.2906 towards the total variability. The characters, namely, milling per cent, iron content, plant height and head rice recovery were observed to explain maximum variance in PC 1. The results of 2D scatter diagram revealed Kakirekalu and BPT 5204 genotypes to be most diverse. Hybridization of these diverse genotypes is therefore predicted to result in desirable coloured transgressive segregants.
Pages: 456-462  |  545 Views  105 Downloads


The Pharma Innovation Journal
How to cite this article:
Kumar Saurabh Singh, Y Suneetha, D Sandeep Raja, T Srinivas. Principal component analysis for yield and quality traits of coloured rice (Oryza sativa L.). Pharma Innovation 2020;9(7):456-462. DOI: 10.22271/tpi.2020.v9.i7g.4972

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