Vol. 7, Issue 5 (2018)
Character relationship and path coefficient analysis for yield and yield components in diverse genotypes of cucumber (Cucumis sativus L.)
Amrita Kumari, Anand Kumar Singh, Durga Prasad Moharana, Anand Kumar and Niraj Kumar
An investigation was carried out in order to study the interrelationship and path coefficient analysis for fruit yield and its contributing components. Nineteen genotypes were evaluated during kharif 2016 considering twenty two characters. Most of the traits have shown significant correlation as revealed by the association study. Correlation study measures the mutual relationship among various plant character pairs whereas path coefficient analysis provides information about direct and indirect effects of independent variables on dependent variables and thus helps in determining yield contributing characters and is useful in indirect selection. The fruit yield per plant had significant and positive correlations, viz., both genotypic and phenotypic with traits like average fruit weight (g), number of fruits per plant, number of pistillate flowers per plant, fruit width (cm), vine length (cm), and number of nodes per vine. Path coefficient analysis indicated that the traits like number of fruits per plant and average fruit weight (g) have positive and direct genotypic and phenotypic effects towards the fruit yield.
How to cite this article:
Amrita Kumari, Anand Kumar Singh, Durga Prasad Moharana, Anand Kumar and Niraj Kumar. Character relationship and path coefficient analysis for yield and yield components in diverse genotypes of cucumber (Cucumis sativus L.). The Pharma Innovation Journal. 2018; 7(5): 33-38.