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Vol. 11, Issue 9 (2022)

Principal component analysis for eight quantitative traits in 55 indigenous rice germplasm (Oryza sativa L.)

Author(s):
Ashish Patel, Abhinav Sao, Sunil Nair, Jageshwar Mandavi and Nishesh Tamrakar
Abstract:
Rice is the dietary staple for more than one third of the world’s population and it is a model cereal species that can be used to compensate the world food hunger. In the present study, fifty five genotypes were studied for the eight quantitative traits. Principal Component Analysis was utilized to estimate the relative contribution of various traits for total variability. Principal component analysis revealed that 1st two component with Eigen value greater than 1 accounted 65.38% of total variation. Rotated component matrix showed that PC 2 accounted mainly for yield and yield related character, whereas the character accounted in PC1 which attained high PC score, could be effectively used in the hybridization program to create early duration genotypes.
Pages: 1201-1206  |  424 Views  304 Downloads


The Pharma Innovation Journal
How to cite this article:
Ashish Patel, Abhinav Sao, Sunil Nair, Jageshwar Mandavi, Nishesh Tamrakar. Principal component analysis for eight quantitative traits in 55 indigenous rice germplasm (Oryza sativa L.). Pharma Innovation 2022;11(9):1201-1206.

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