2019
DOI: 10.3329/jbau.v17i1.40659
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Genetic variability, heritability, correlation and path analyses of yield components in traditional rice (Oryza sativa L.) landraces

Abstract: The presence of sufficient genetic variability, the knowledge of nature of association among different characters and relative contribution of different characters to yield is a prerequisite to any breeding programme. The aim of the present study was to estimate genetic parameters of thirteen yield and yield attributing traits in 40 landraces of rice with a view to select better yield attributes in rice. The higher value of phenotypic co-efficient of variation (PCV) compared to the corresponding genotypic coef… Show more

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Cited by 51 publications
(57 citation statements)
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“…The analysis of variances displayed vast significant differences among the genotypes (parents and hybrids) for maximum number of traits which depicts wider range of variability for the genotypes (Table 1). Similar findings were also reported by Saha et al (2019).…”
Section: Analysis Of Variance (Anova)supporting
confidence: 92%
“…The analysis of variances displayed vast significant differences among the genotypes (parents and hybrids) for maximum number of traits which depicts wider range of variability for the genotypes (Table 1). Similar findings were also reported by Saha et al (2019).…”
Section: Analysis Of Variance (Anova)supporting
confidence: 92%
“…The phenotypic coefficient of variation was higher than genotypic coefficients of variation for all corresponding characters in this study, indicating the contribution of the environment in the expression of these characters. Higher phenotypic coefficient of variation has been reported in maize [35,20] and other crops like soybean [36], fluted pumpkin [37], rice [38][39][40], barley [41] and African eggplant [42].…”
Section: Discussionmentioning
confidence: 99%
“…Values of h2 above 70% are considered high. However, they vary according to the character studied and thus help in the effective selection of characteristics based on phenotypic expression, assisting in the adoption of a simple selection method focused on genetic improvement [34].…”
Section: Resultsmentioning
confidence: 99%