The correlation coefficient indicates the degree of relationship between characters but does not any significant association between yield and its components. Correlation and path analysis furnish information regarding the nature and magnitude of various association and help in measurement of direct effect of one variable on other. It is most important to know the direct and indirect effect on yield component for selecting suitable genotypes for improving the yield. Therefore present investigation was carried out to generate such information for cucumber. The experiment was conducted at Vegetable Research Farm, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi (U.P.), with 20 diverse genotypes (BSC-1, BSC-2, CH-122, 126, 128, CHC-1, Swarna Ageta, VRC-11-2, CC-3, CC-8, DR/NKV/02, VRC-19, CC-2, 4, 5, 6, 7, 9, 1 and Ranchi-1) and experiment was laid out under Randomized Block Design with three replications. In each treatment five plants were randomly selected for recording the observations on different parameters. Analysed data of various parameters revealed that among all genotypes CC-5, BSC-2, BSC-1, CH-128, CHC-2 and CC-2 gave better performance.
