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Vol. 11, Issue 11 (2022)

Assessment of genetic variability, correlation and path analysis for yield and its component traits in chickpea (Cicer arietinum L.)

Author(s):
Nimita Kandwal, RK Panwar, SK Verma, Anju Arora, Arvind Chauhan and Basu Sudhakar Reddy
Abstract:
Plant breeding requires the existence, magnitude, and recording of genetic heterogeneity in a gene pool. Understanding genetic factors is important for assessing and managing them during crop improvement, along with variability. According to this theory, the number of secondary branches per plant, the number of pods and seeds per plant, the number of seeds per plant and the number of seeds produced per plant all showed higher PCV than GCV. A higher PCV than GCV was seen in the number of seeds per pod, seed yield, biological yield, and number of pods per plant. For the majority of the characteristics, the genotypes displayed abundant diversity with enormous heritability (> 60.20%). A significant genotypic level correlation with days to maturity was seen in the seed yield per plant (0.0435 *). Biological yield (0.89166), followed by harvest index (0.23921), plant height (0.0483), number of secondary branches (0.3347), days to 50% flowering (0.1758), 100 seed weight (0.1715), days to maturity (0.1064), number of primary branches (0.0858), and number of seeds per pod (0.0796), revealed a significant direct effect on seed yield per plant during path analysis. 110 genotypes of chickpea were examined for genetic variation using phenotypic characteristics.
Pages: 1231-1235  |  294 Views  209 Downloads


The Pharma Innovation Journal
How to cite this article:
Nimita Kandwal, RK Panwar, SK Verma, Anju Arora, Arvind Chauhan, Basu Sudhakar Reddy. Assessment of genetic variability, correlation and path analysis for yield and its component traits in chickpea (Cicer arietinum L.). Pharma Innovation 2022;11(11):1231-1235.

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