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Research Paper | Genetics | India | Volume 12 Issue 4, April 2023 | Popularity: 4.6 / 10
Assessment of Genetic Variability, Correlation and Path Coefficient Analysis for Yield and Yield Attributing Traits in Field Pea (Pisum sativum var. arvense L.)
Sure Naveen
Abstract: Genetic variability, correlation and path coefficient analysis were studied in a set of 21 genotypes of Field pea (Pisum sativum var. arvense L.) grown at field experimentation center of Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, U.P. The experiment was conducted during Rabi 2020-21 in a randomized block design with three replications. Observations on five randomly selected plants in each genotype from each replication were recorded for twelve quantitative traits. Analysis of variance revealed that significant genotypic differences for all the characters under study and a wide range of variation was apparent for all the characters. High genotypic and phenotypic variances were observed for plant height (cm), days to maturity and days to fifty percent pod setting. The genotypic coefficient of variation was highest for plant height (cm) followed by biological yield (gm), number of primary branches and number of pods per plant. Heritability with high genetic advance was observed for plant height (cm) followed by biological yield (gm) and number of primary branches. Correlation analysis revealed that grain yield was positively and significantly correlated with biological yield (gm), days to maturity, plant height (cm), and number of days to fifty percent pod setting. Pod length (cm) had negative association with grain yield (gm). Path coefficient analysis indicated highest positive direct effect for biological yield (gm), harvest index and fifty percent flowering on grain yield. Days to maturity and plant height have direct negative effect on grain yield (gm).
Keywords: Genetic variability, heritability, genetic advance, correlation analysis, path coefficient
Edition: Volume 12 Issue 4, April 2023
Pages: 106 - 116
DOI: https://www.doi.org/10.21275/SR23331095014
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