ASSESSMENT OF GENETIC VARIABILITY IN LOCAL COLLECTIONS OF CUCUMBER (Cucumis sativus L.) GENOTYPES FOR PRODUCTIVITY TRAITS

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Date
2018-10-10
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K.R.C. COLLEGE OF HORTICULTURE, ARABHAVI (UNIVERSITY OF HORTICULTURAL SCIENCES, BAGALKOT)
Abstract
A field experiment was undertaken during the year 2017-2018 in kharif season to study the genetic variability, correlation, path co-efficient analysis and genetic diversity for productivity traits in 21 local collections of cucumber genotypes. The experiment was laid out in randomized block designs with two replications. Analysis of variance revealed highly significant difference among the genotypes for all the traits studied. Wide range of variability, high heritability and high genetic advance as per cent over mean was observed for vine length, number of leaves per vine, number of branches per vine, node at first male flower, node at first female flower, number of male flowers, number of female flowers, fruit diameter, number of fruits per vine, average fruit weight, fruit yield per vine, fruit length, number of seeds per fruit, seed yield per fruit and test weight indicating predominant additive gene action offering scope for improvement of these characters through direct selection. Correlation studies revealed significant and positive association of fruit yield per vine with number of female flowers per vine, vine length, number of leaves per vine and average fruit weight. The maximum direct effect on fruit yield per vine was exhibited by average fruit weight followed by number of fruits per vine. Mahalanobi’s D2 analysis indicated presence of considerable diversity in cucumber genotypes and 21 genotypes were grouped into six clusters. The cluster II showed maximum (2242.20) intra cluster diversity. Inter cluster distance revealed the maximum divergence between clusters IV and cluster III (D2 = 32489.21) followed by cluster III and cluster II (D2 = 24315.24). Among all the 19 productivity traits studied, flesh thickness, fruit diameter, fruit length and average fruit weight contributed greatly towards divergence. The genotype KRCCH-CC-17 in cluster V recorded highest cluster mean. KRCCH-CC-8, KRCCH-CC-18, KRCCH-CC-3, KRCCH-CC-13 are some of the top high yielding genotypes. These, genotype can be used as a base material for future breeding programme.
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TH-658
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