Analysis of Yield-contributing Traits in Ash Gourd Using Correlation and Path Coefficient Methods

Forty-six selected genotypes of ash gourd were assessed for correlation and path coefficient analysis across 19 quantitative and qualitative parameters during Kharif season, 2016-17. The study revealed that number of branches plant-1, fruit length, fruit girth, average fruit weight, number of fruits plant-1, total soluble solid, 100 seed weight, fibre content and vitamin C were positive and significant correlation with fruit yield (q/ha) at both genotypic and phenotypic levels as well as days to fruit set, showed significant association only at the genotypic level. The findings indicated that major emphasis should be placed on these traits to enhance the fruit yield. Path coefficient analysis indicated that the duration of crop had the highest direct positive effect on fruit yield followed by average fruit weight, node number of first female flower appears, number of branches plant-1, days to first female flower appears, number of fruits plant-1, days to 50% flowering, fiber content, number of seeds fruit-1, fruit girth and vitamin C. Conversely, the node number of first male flower appears, days to first fruit harvest, days to first male flower appears, 100 seed weight, fruit length, total soluble solid and days to fruit set showed negative direct effects on fruit yield. These findings can assist in selecting genotypes to enhance fruit yield and its contributing traits.

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Publication Details

Journal
Journal of Advances in Biology & Biotechnology
Published
2025-08-12
DOI
https://doi.org/10.9734/jabb/2025/v28i82795
Primary Topic
Advances in Cucurbitaceae Research
Type
article
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article

Analysis of Yield-contributing Traits in Ash Gourd Using Correlation and Path Coefficient Methods

Shampa Purkaystha, Amit Dixit, Mukesh Kumar Bairwa, Poulami Sil et al.
Journal of Advances in Biology & Biotechnology
Advances in Cucurbitaceae Research
article

Analysis of Yield-contributing Traits in Ash Gourd Using Correlation and Path Coefficient Methods

Shampa Purkaystha, Amit Dixit, Mukesh Kumar Bairwa, Poulami Sil, Shuvadeep Halder
article en

Abstract

Forty-six selected genotypes of ash gourd were assessed for correlation and path coefficient analysis across 19 quantitative and qualitative parameters during Kharif season, 2016-17. The study revealed that number of branches plant-1, fruit length, fruit girth, average fruit weight, number of fruits plant-1, total soluble solid, 100 seed weight, fibre content and vitamin C were positive and significant correlation with fruit yield (q/ha) at both genotypic and phenotypic levels as well as days to fruit set, showed significant association only at the genotypic level. The findings indicated that major emphasis should be placed on these traits to enhance the fruit yield. Path coefficient analysis indicated that the duration of crop had the highest direct positive effect on fruit yield followed by average fruit weight, node number of first female flower appears, number of branches plant-1, days to first female flower appears, number of fruits plant-1, days to 50% flowering, fiber content, number of seeds fruit-1, fruit girth and vitamin C. Conversely, the node number of first male flower appears, days to first fruit harvest, days to first male flower appears, 100 seed weight, fruit length, total soluble solid and days to fruit set showed negative direct effects on fruit yield. These findings can assist in selecting genotypes to enhance fruit yield and its contributing traits.

Journal of Advances in Biology & BiotechnologyVol. 28(8)
Dr. Yashwant Singh Parmar University of Horticulture and Forestry (IN), Chhattisgarh Kamdhenu Vishwavidyalaya (IN), Diamond Harbour Women's University (IN), Centurion University of Technology and Management (IN)
Zero hunger
Openalex Percentile: Top 77%
Advances in Cucurbitaceae Research
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Analysis of Yield-contributing Traits in Ash Gourd Using Correlation and Path Coefficient Methods — Shampa Purkaystha, Amit Dixit, et al. · Journal of Advances in Biology & Biotechnology (2025) | TGRS Research Map | TGRS