NAAS Journal

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P-ISSN: 2618-060X, E-ISSN: 2618-0618   |   NAAS: 5.20

2024, Vol. 7, Special Issue 7

Selection of yield-associated traits using correlation and path analysis in Cucumber (Cucumis sativus L.)


Rakesh Tadkal, V Rajasree, R Swarnapriya, N Senthil and M Raveendran

The efficiency of a breeding programme is usually decided by the orientation and magnitude of the contribution of yield components, whereas each trait has a proportional importance in its contribution to yield. Practical understanding of this process would help in the stance process for the simultaneous development of multiple qualities in conventional breeding. During August 2021 to July 2022. Seventy genotypes were analysed at College Orchard HC&RI, Coimbatore, based on eleven variables explored for character, association and path coefficient analysis with respect to yield and yield contributing traits. According to correlation studies, vine length has the most positive association with fruit yield per vine, followed by fruit girth, fruit number, and average fruit weight. Direct selection for these characteristics would increase yield. The analysis of path coefficients confirmed that day to first male flower, number of fruits per vine, and days to first fruit harvest had a direct positive phenotypic and genotypic effect on yield. However, in the era of climate change, increased human population, and high-quality demand of consumers, studies on cucumber fruit quality traits are limited Future breeding should concentrate on selecting traits with direct yield-improving benefits.
Pages : 414-417 | 274 Views | 148 Downloads
How to cite this article:
Rakesh Tadkal, V Rajasree, R Swarnapriya, N Senthil, M Raveendran. Selection of yield-associated traits using correlation and path analysis in Cucumber (Cucumis sativus L.). Int J Res Agron 2024;7(7S):414-417. DOI: 10.33545/2618060X.2024.v7.i7Sf.1079
Call for book chapter