International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:12, December, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
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): 1547-1552

Genetic Analysis for Quantitative Traits in Cucumber [Cucumis sativus (L.)]
M. I. Manivannan1*, R. Arulmozhiyan2 and R. Suresh3
1Horticultural Research Station, Kodaikanal, India
2Department of Horticulture, Agricultural College & Research Institute Killikulam, India
3Department of Spices and Plantation Crops, HC&RI, Coimbatore, India
*Corresponding author

The present study on variability, heritability, genetic gains, correlation coefficients and path coefficients in twenty four diverse cucumber genotypes was carried out for fruit yield and yield attributing traits. The genotypes exhibited significant differences for all the traits under study. A wide range of variability along with estimates of PCV and GCV was observed for number of primary branches, node at which first female flower appear, number of fruits per plant, yield per vine and yield per hectare. High heritability and high expected genetic gain were observed for node at which first female flower appear, number of primary branches, number of fruits per plant and yield per vine indicate that these characters had additive gene effect and therefore, these are more reliable for effective selection. Correlation coefficient and path coefficient revealed that fruit yield could be successfully improved upon by making selection for greater number of primary branches per plant, node at which first female flower appeared and number of fruits per plant.

Keywords: Genetic variability, Character association, Cucumber, heritability, Genetic advance as percent of mean

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How to cite this article:

Manivannan, M. I., R. Arulmozhiyan and Suresh, R. 2020. Genetic Analysis for Quantitative Traits in Cucumber [Cucumis sativus (L.)].Int.J.Curr.Microbiol.App.Sci. 9(12): 1547-1552. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.