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Vol. 11, Issue 2 (2022)

Correlation and path analysis of different environments for yield and component traits in groundnut (Arachis hypogaea L.)

Author(s):
Preeti Pachauri and R. S. Sikarwar
Abstract:
In a breeding program, studies of genotypic and phenotypic relationships among agricultural crop traits are useful to design, evaluate, and develop selection criteria for desirable traits. Using path coefficient analysis, the present study was executed to estimate the phenotypic and genotypic correlation coefficients between yield and yield-related traits and to determine the direct and indirect effects of yield-related traits on kernel yield per plant. A total of 32 genotypes of groundnut were used and shown in a Randomized Block Design with three replications on two different dates at research farm of COA Gwalior and KVK Ashoknagar each in kharif 2018. Data were collected on vegetative and yield component attributes. Based on analysis of variance, pooled results showed that there were positive and highly significant differences (p≤ 0.01) among the 32 genotypes for all attributes studied. The estimates of genotypic and phenotypic correlation coefficient analysis revealed that the kernel yield per plant showed significant and positive correlation with pod yield per plant, harvest index, 100 pod weight, number of pod per plant, shelling outturn and 100 kernel weight. Genotypic and phenotypic path coefficient analysis revealed that shelling outturn, harvest index and pod yield per plant exerted highest positive and significant direct effect on kernel yield per plant. Therefore, it would be valuable to give due importance on the selection of these traits for fast improvement in kernel yield of groundnut.
Pages: 1181-1186  |  416 Views  226 Downloads


The Pharma Innovation Journal
How to cite this article:
Preeti Pachauri, R. S. Sikarwar. Correlation and path analysis of different environments for yield and component traits in groundnut (Arachis hypogaea L.). Pharma Innovation 2022;11(2):1181-1186.

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