Assess the extent of path coefficient analysis for fruit yield and it's contributing traits in cucumber (Cucumis Sativus L.)

Present investigation was carried out at the Horticulture Research Centre, Sardar Vallabhbhai Patel University of Agriculture & Technology, Meerut during summer season-2018-2019. Analysis of variance revealed significant differences among the stains for all characters studies viz, vine length, number ofprimary branches, days to 50% flowering, days to first fruit harvest, number of fruits per plant, fruitlength, fruit diameter, average fruit weight, fruit yield. Path analysis provided a clear picture aboutdirect and indirect effects, days to first fruit per plant (0.439) had maximum direct positive effect, followed by average fruit weight (0.375) while, days to 50% flowering (−0.543) had maximum directnegative effect, followed by fruit diameter (−0.333). The Phenotypic path coefficient revealed that days tofirst fruit per plant (0.420) had maximum direct positive effect, followed by average fruit weight (0.375)while, days to 50% flowering (−0.526) had maximum direct negative effect, followed by fruit diameter(−0.330). Thus, while conducting selection for yield improvement in cucumber, a breeder will have toemphasize on the genotypes which mature early having more average fruit weight, longer fruits, morefruit diameter, a greater number of marketable fruits and primary branches plant, longer vine.