Principal component analysis for grain quality characters in rice germplasm
Abstract
Rice is the dietary staple for more than one third of the world’s population and it is a model cereal species serving as the genetic platform to study the functions of the genes. In the present study, twenty four genotypes were studied for the thirteen grain quality traits. Principal Component Analysis was utilized to estimate the relative contribution of various traits for total variability. Four components were found to possess Eigen value more than 1. The PC1, PC2, PC3 and PC4 contributed 27.73, 19.12, 15.27 and 10.12 per cent of variability. Together, they accounted for 72.24 per cent of the variability of the genotypes used in the study has revealed the traits contributing for the variation.
Published
06-04-2020
How to Cite
K.R.V. Sathya Sheela, S. Robin, and S. Manonmani
Principal component analysis for grain quality characters in rice germplasm. 2020. Electronic Journal of Plant Breeding, 11 01, 127-131. Retrieved from https://ejplantbreeding.org/index.php/EJPB/article/view/3166
Section
Research Article
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