Assessment of Genetic Variability and Correlation Coefficient to Improve Some Agronomic Traits in Rice

Hefena, A. G. and Sultan, M. S. and Abdel-Moneam, M. A. and Hammoud, S. A. and Barutçular, C and EL-Sabagh, A (2016) Assessment of Genetic Variability and Correlation Coefficient to Improve Some Agronomic Traits in Rice. Journal of Experimental Agriculture International, 14 (5). pp. 1-8. ISSN 24570591

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Abstract

This study was conducted to evaluate genetic components, heritability and correlation coefficient effects of the parents and their F1 for some agronomic as well as yield and yield traits. A line x tester cross was conducted among the ten parents (four lines and six testers) in 2010 to produce (24) F1 crosses evaluated during 2011. The results indicated that both GCA showed highly significant for all studied traits. The mean squares of lines x testers interaction (SCA) exhibited highly significant differences for all studied traits. Higher estimates for non-additive or dominance genetic variance was computed for number of panicles / plant, number of filled grains / panicle and grain yield / plant in comparison with its corresponding evaluates of additive genetic variance. Concerning to heritability estimates, high values were observed in broad sense heritability. Meanwhile, evaluate of narrow-sense heritability were low to moderate for number of panicles / plant, number of filled grains / panicle, 1000-grain weight and grain yield / plant. Heritability estimates in narrow sense were relatively low for panicle weight and spikelet fertility percentage. As for correlation for grain yield / plant the results recorded highly positive correlation coefficient with each number of days to heading, plant height, number of panicles / plant, panicle length, panicle weight, fertility percentage and 1000-grain weight.

Item Type: Article
Subjects: STM Open Academic > Agricultural and Food Science
Depositing User: Unnamed user with email admin@eprint.stmopenacademic.com
Date Deposited: 14 Jul 2023 12:13
Last Modified: 16 Jan 2024 05:11
URI: http://publish.sub7journal.com/id/eprint/513

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