Study on correlation and path coefficient analysis for certain quantitative traits in cucumber (Cucumis sativus L.)
Year: 2024
Type: article
Abstract: Quantitative trait analysis using correlation and path coefficients in cucumbers (Cucumis sativus L.). In order to quantify genetic variation, pinpoint important features influencing yield, and comprehend genetic linkages, a wide range of genotypes of cucumbers was examined. There was significant variation among genotypes, suggesting that there is a great chance for genetic advancement. Fruit length, fruit diameter, and the number of fruits per plant were found to have significant direct influences on yield per plant by path coefficient analysis, making them important candidates for selection. These results show the potential for targeted genetic modification through breeding and offer useful insights for cucumber breeding programs focusing on yield enhancement and other desirable features.
Authors: Pritam Patidar, Pushpendra Kumar, Chandra Kant Sharma
Institution: ITM University
Language: English
Subfield: Genetics
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
Funder: ITM University-Gwalior
OpenAlex ID: W4402608147