Utilizing Genetic Traits Distributions to Enhance Rice Breeding Programs: A Study of Skewness and Kurtosis in Segregating Generations

Prasanna, G. S. Shai and Joshi, J. L. and Muraleedharan, Ajish (2024) Utilizing Genetic Traits Distributions to Enhance Rice Breeding Programs: A Study of Skewness and Kurtosis in Segregating Generations. Journal of Experimental Agriculture International, 46 (9). pp. 741-760. ISSN 2457-0591

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Abstract

This study analyzed the genetic basis of skewness and kurtosis in segregating generations of six rice crosses. Skewness and kurtosis values were calculated for ten biometrical traits across the populations. The traits examined included plant height, number of productive tillers, panicle length, grain yield, and grain dimensions. Results showed diverse patterns of skewness and kurtosis across traits, crosses and generations. Platykurtic distributions were predominant for most traits, suggesting flatter distributions with lighter tails compared to normal. Skewness varied between positive and negative across traits and crosses. Some traits like grain L/B ratio tended to show positive skewness more frequently. Plant height often exhibited negative skewness. The diversity in distribution characteristics indicates significant genetic variability in the populations. Traits showing platykurtic distributions with negative skewness, such as plant height in several crosses, suggest duplicate epistasis and polygenic control. Positively skewed platykurtic distributions for traits like grain dimensions in some crosses indicate complementary epistasis requiring intense selection. Hence, skewness denotes the horizontal pull and kurtosis deals with vertical peaks of the segregating population. The findings provide insights into the genetic control of key rice traits and have implications for breeding strategies. The complex distribution patterns revealed offer a rich basis for selective breeding, depending on specific trait objectives.

Item Type: Article
Subjects: Afro Asian Library > Agricultural and Food Science
Depositing User: Unnamed user with email support@afroasianlibrary.com
Date Deposited: 16 Sep 2024 10:49
Last Modified: 16 Sep 2024 10:49
URI: http://classical.academiceprints.com/id/eprint/1414

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