ASSESSMENT OF GENETIC VARIABILITY AND DIVERGENCE IN CUCUMBER (Cucumis sativus L.) GENOTYPES UNDER HILL ZONE OF KARNATAKA.

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Date
2018-07-12
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University of Agricultural & Horticultural Sciences, Shivamogga, (COH, MUDIGERE)
Abstract
The present investigation on genetic variability and divergence in cucumber (Cucumis sativus L.) was carried out by adopting randomized complete block design at Department of Vegetable Science, College of Horticulture, Mudigere during 2017-18. Significant differences among the genotypes were observed for all the characters under study. High heritability (>60 %) coupled with high genetic advance as per cent over mean (>20 %) were recorded for the characters viz., vine length, number of branches per vine, node at first female flower appear, days to first female flower appearance, total number of fruits per vine, fruit diameter, fruit length, flesh thickness, average fruit weight, fruit yield per vine, fruit yield per hectare and rind thickness indicating predominance of additive gene component. Thus, there is ample scope for improving these characters through direct selection. Yield per hectare was positively and significantly correlated with total number of fruits per vine, days to last harvest of the fruit, per cent marketable fruits per vine, fruit length, fruit diameter and average fruit weight. Path analysis revealed that positive direct effects on yield per hectare was shown by days to first female flowering, per cent marketable fruits per vine, per cent unmarketable fruits per vine, yield per vine, fruit diameter and rind thickness. Based on Mahalonobis D2 analysis, 30 genotypes were grouped into eleven clusters. The cluster I was the largest, comprising of nineteen genotypes had maximum intra cluster distance followed by cluster VII with two genotypes. The maximum inter distance was observed between cluster V and cluster X followed by cluster X and XI. Rind thickness contributed maximum to the genetic diversity followed by fruit length. Genotypes Banglore Local, Poinsette and Sirsi Local-2 recorded higher yield and these genotypes can be utilized for further crop improvement programme.
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