Author(s):

Sumit Singh, VM Prasad, Amit Sharma and Rajat Kumar Singh

Abstract: The experiment was carried out in vegetable Research Farm Department of Horticulture Naini Agriculture Institute, Sam Higginbottom University of Agriculture, Technology and sciences, Prayagraj (U.P.) during summer 2018. to evaluate the available genotypes, to estimate the correlation coefficient, to work out the path coefficient analysis and genetic divergence for fruit yield and its component traits of 12 genotypes, with three replications in Randomized Block Design. Analysis of variance in the present investigation indicated that the genotypes evaluated differed significantly among all the treatment for all the twelve traits. The genotypes CH-65, followed by Padama, Pusa Visesh, produced higher fruit yield per plant. These genotypes also exhibited average mean performance for number of fruits per plant. Node number to anthesis of first staminate flower comes on earlier node on Priya followed by Priyanka, Satya, and Ageti Karela, where Node number to anthesis of first pistillate flower appears on earlier node in Vishanu followed by Ratana, and Phule Karela showed earlier development of pistillate flower. The higher magnitude of coefficient of variation at phenotypic as well as genotypic levels were observed for phenotypic in number of fruit per plant followed by fruit yield per plant (kg), vine length (m), fruit length (cm), node no. to anthesis of first staminate flower, average fruit weight (g), node number to anthesis of first pistillate flower, number of nodes per vine and lower value in days of first fruit harvest followed by days to anthesis of first pistillate flower, days to anthesis of first staminate flower, fruit diameter. The phenotypic correlation coefficients between different characters were generally similar in magnitude and nature to the corresponding genotypic correlation coefficient. The significant and positive correlation with yield per plant was observed at phenotypic level with average fruit weight and number of fruits per plant. The analysis of path coefficient revealed appreciable amount of direct positive effect of number of fruits per plant and fruit yield per plant followed by vine length on fruit yield per plant. Major cluster in divergence analysis contained genotypes of heterogeneous origin, thereby, indicating no parallelism between genetic and geographic diversity. Therefore, crosses between members of clusters separated by high inter-cluster distance are likely to produce desirable segregates. The very high inter cluster value was also observed between cluster III to cluster VI followed by cluster II to cluster VI, cluster II to cluster V, cluster V to cluster VI and cluster I to clustre VI. In this context minimum intra-cluster distance was recorded between cluster III and maximum intra-cluster distance was recorded for cluster VI.

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