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Vol. 9, Issue 3 (2020)

Variability and association analysis on traditional rice grain parameters for better plant selection

Author(s):
Velprabakaran S, Rajeswari S, Jeyaprakash P and Raveendran M
Abstract:
Thirty eight rice germplasm lines with three check varieties were evaluated for twelve grain traits to estimate the genetic variability, heritability, genetic advance and character association for grain yield with yield attributing traits. The analysis of variance revealed highly significant difference among the germplasm accessions for the traits studied indicating that a large amount of variability was present in a set of genotypes. The magnitude of phenotypic coefficient of variation was higher to corresponding genotypic coefficient of variation for all the traits. The genotypic correlation coefficient was found to be higher than phenotypic correlation coefficient indicating a strong inherent association for grain yield per plant, Grain length, width, Hulling percentage, Milling percentage, primary panicle, grain L/B, HRR, grain thickness, secondary panicle, number of grains per panicle and 100 seed weight Therefore, selection based on these traits will be effective in improving the grain yield.
Pages: 753-757  |  288 Views  30 Downloads


The Pharma Innovation Journal
How to cite this article:
Velprabakaran S, Rajeswari S, Jeyaprakash P, Raveendran M. Variability and association analysis on traditional rice grain parameters for better plant selection. Pharma Innovation 2020;9(3):753-757.
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