Study of Correlation and Path Analysis in Greengram [Vigna radiata (L.) Wilczek] for Yield and Yield Attributing Traits

Yajavathi, C. and Lavanya, G. Roopa and Lal, Gaibriyal M. and Nikhil, A. (2022) Study of Correlation and Path Analysis in Greengram [Vigna radiata (L.) Wilczek] for Yield and Yield Attributing Traits. International Journal of Plant & Soil Science, 34 (23). pp. 726-734. ISSN 2320-7035

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Abstract

The current study was designed to estimate correlation coefficients and investigate the direct and indirect effects of various yield contributing traits on seed yield in twenty greengram genotypes. The experiment was carried out during Kharif 2021 in a randomized block design with three replications. Correlation studies among the characters revealed that seed yield per plant has highly positive and significant association with characters like plant height, days to 50% flowering, days to maturity, number of primary branches, number of clusters per plant, number of pods per plant, no. of seeds per pod, pod length, biological yield per plant, harvest index both at phenotypic and genotypic levels, depicting that these are important yield contributing traits. Path coefficient analysis of various quantitative traits indicated that the number of seeds per pod, biological yield per plant, harvest index and seed index had the positive direct effect on seed yield per plant followed by plant height and number of primary branches exhibited the negative direct effect on seed yield per plant in greengram. Their correlation with seed yield was likewise noteworthy and favourable, demonstrating a real and flawless correlation between these features. Therefore, identifying high-yielding genotypes from a population with substantial segregation would be aided by direct selection for these traits.

Item Type: Article
Uncontrolled Keywords: Correlation; path analysis; greengram; seed yield
Subjects: STM Library > Agricultural and Food Science
Depositing User: Managing Editor
Date Deposited: 02 Nov 2022 08:10
Last Modified: 22 Dec 2023 07:31
URI: http://open.journal4submit.com/id/eprint/30

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