Deciphering Pearl Millet Grain Yield under Water Stress using Genotypic, Phenotypic Correlation and Path Coefficient Analysis

Kumar, Amit and Yadav, Mukesh Kumar and Barupal, Heeralal and Meena, Mukut Bihari and Kumawat, Ravi and Mondal, Kinjal (2022) Deciphering Pearl Millet Grain Yield under Water Stress using Genotypic, Phenotypic Correlation and Path Coefficient Analysis. International Journal of Environment and Climate Change, 12 (10). pp. 278-283. ISSN 2581-8627

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Abstract

Yield is a polygenic character, usually depends on its various contributing traits like days to 50% flowering, plant height, and panicle length as well as panicle girth. A study was conducted during kharif 2018 to evaluate the relationship between grain yield and its components in pearl millet using correlation and path analysis studies. In the current study, significant genotypic and phenotypic correlations were found among five yield contributing traits in eighteen pearl millet hybrids. The traits including days to 50% flowering, plant height, and panicle length were found to have positive correlation with grain yield per plant that implied the importance of those traits in selection of high yielding hybrids. Grain yield per plant was used as a dependent character in path-coefficient analysis at the genotypic level. Plant height and panicle length were the independent variables (cm). The highest positive and direct effect was found for days to 50 percent flowering (0.9946) followed by panicle diameter (cm) (0.5726). Pearl millet having deep root system are often found to survive even in various stressful conditions including water stress. These characteristics have made it popular in dry and semi-arid regions around the world; nevertheless, compared to other major cereals, less work has been put into the study of climate-resilient characteristics of pearl millet. We have revealed here some basic ideas of correlation between the grain yield of pearl millet with its yield contributing constituents under drought condition.

Item Type: Article
Subjects: OA Open Library > Geological Science
Depositing User: Unnamed user with email support@oaopenlibrary.com
Date Deposited: 20 Jan 2023 08:14
Last Modified: 18 Sep 2023 10:45
URI: http://archive.sdpublishers.com/id/eprint/42

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