Assessment of genetic variability for yield and yield related traits in local collections of cucumber
Author(s):
Mahadev Rudagi, Rekha Chittapur, Jagadeesha RC, Raghavendra G and Namita Raut
Abstract:The genetic variability parameters were estimated to elucidate variation available in local collections of Cucumber (Cucumis sativus L.). Forty local types with four checks of cucumber were evaluated in Augmented Block Design. Significant variation among the forty local types and the checks was reported for most of the traits. Phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV) for all the characters studied. High genotypic and phenotypic coefficient (GCV and PCV) was observed for sex ratio (29.07 and 29.52), number of fruits per plant (20.25 and 23.94) and yield per plant (28.59 and 30.86). Difference between GCV and PCV is less suggesting least environmental influence on these characters. High heritability with high genetic advance as per cent mean (GAM) was observed for node number first female flower appearance, sex ratio, number of branches per plant, number of nodes per plant, internodal length, number of fruits per plant, individual fruit weight, yield per plant and fruit diameter representing the presence of predominant additive interactions, henceforth direct selection to be practiced for these traits.
How to cite this article:
Mahadev Rudagi, Rekha Chittapur, Jagadeesha RC, Raghavendra G, Namita Raut. Assessment of genetic variability for yield and yield related traits in local collections of cucumber. Pharma Innovation 2023;12(9):2400-2402.