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Vol. 12, Issue 12 (2023)

Correlation and path coefficient analysis studies on seed yield and its yield attributing traits in greengram (Vigna radiata (L.) Wilczek)

Author(s):
KS Ghule, Dr. SB Sarode, RB Gaikwad and PS Zine
Abstract:
The aim of the study was to estimate correlation coefficients and investigate the direct and indirect influence of various yield-influencing traits on the seed yield of forty Greengram genotypes. The experiment was conducted in Kharif in 2021-2022 in a randomized block design with two replications at the farm of Badnapur Agricultural College. Analysis of the correlation coefficients suggests that the magnitude of the genotypic correlations was greater than the corresponding phenotypic correlations. The yield of seeds per plant showed a very positive and significant correlation with the number of pods per plant, the number of seeds per pod and the number of secondary branches per plant. Plants, both at the genotypic and phenotypic levels. However, a negative and highly significant correlation was found with number of days to 50% flowering, number of days to maturity and plant height at genotypic and phenotypic levels. Path coefficient analysis showed that the maximum direct effect on seed yield per plant was due to the number of pods per plant and the number of seeds per pod, while the indirect effect was due to plant height and the number of main branches per plant. Attachment. This suggests that these traits should be emphasized in the breeding program to improve grass seed yield.
Pages: 2067-2072  |  116 Views  64 Downloads


The Pharma Innovation Journal
How to cite this article:
KS Ghule, Dr. SB Sarode, RB Gaikwad, PS Zine. Correlation and path coefficient analysis studies on seed yield and its yield attributing traits in greengram (Vigna radiata (L.) Wilczek). Pharma Innovation 2023;12(12):2067-2072.

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