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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39 For more details click here
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(12): 2372-2377
DOI: https://doi.org/10.20546/ijcmas.2020.912.282


Character Association Analysis of Yield Traits in Cucumber (Cucumis sativus L.)
M. I. Manivannan1*, R. Arulmozhiyan2 and J. Prem Joshua3
1Horticultural Research Station, Kodaikanal, India
2Department of Horticulture, Agricultural College & Research Institute Killikulam, India
3Department of Post Harvest Technology, Horticultural College & Research Institute, Periyakulam, India
*Corresponding author
Abstract:

Twenty four cucumber genotypes were evaluated at Agricultural College & Research Institute, Killikulam during Rabi 2018. 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 primary branches, number of fruits/plant and yield/vine have exhibited highly significant positive association with fruit yield. 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 primary branches, number of fruits/plant and yield/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.


Keywords: Cucumber, Path analysis, Characters association, genotypic correlation, phenotypic correlations, Path coefficient analysis, Yield
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How to cite this article:

Manivannan, M. I., R. Arulmozhiyan and Prem Joshua, J. 2020. Character Association Analysis of Yield Traits in Cucumber (Cucumis sativus L.).Int.J.Curr.Microbiol.App.Sci. 9(12): 2372-2377. doi: https://doi.org/10.20546/ijcmas.2020.912.282