Vol. 6, Issue 6 (2018)
Studies on correlation and path-coefficient analysis for yield and its contributing characters in Cucumber (Cucumis sativus L.)
Author(s): Phani Kumar J, Sadarunnisa Syed, Syam Sundar Reddy P, Mukunda Lakshmi L and Srinivasa Reddy D
Abstract: Thirty-two cucumber genotypes were evaluated at College of Horticulture, Anantharajupeta during Late Kharif 2016. The study was conducted to assess the nature and magnitude of association among yield and its contributing traits in cucumber. The experiment was laid out in RBD with three replications. In this study, genotypic correlation was higher than phenotypic correlations indicating the highly heritable nature of the traits. It was observed that the traits viz., number of fruits per plant, fruit weight, number of primary branches per plant, fruit length and vine length have exhibited highly significant positive association with fruit yield per plant. The genetic improvement of fruit yield thus can be obtained by direct selection of these yield components. The path coefficient analysis revealed that the number of fruits per plant, fruit weight, number of primary branches per plant, fruit length, 100 seed weight, number of seeds per fruit, days to last fruit harvest, fruit diameter and number of nodes per vine have direct positive phenotypic and genotypic effect on yield. Hence, direct selection for these traits can be done for improving fruit yield per plant.
Pages: 1649-1653 | 315 Views 45 Downloads
download (6520KB)
How to cite this article:
Phani Kumar J, Sadarunnisa Syed, Syam Sundar Reddy P, Mukunda Lakshmi L, Srinivasa Reddy D. Studies on correlation and path-coefficient analysis for yield and its contributing characters in Cucumber (Cucumis sativus L.). Int J Chem Stud 2018;6(6):1649-1653.
