“Genetic evaluation of cherry tomato (Solanum lycopersicum var. cerasiforme) germplasm for yield and quality traits
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Date
2020-09-21
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COLLEGE OF HORTICULTURE AND FORESTRY, DR Y S P UHF, NERI, HAMIRPUR
Abstract
The present investigation entitled “Genetic evaluation of cherry tomato (Solanum lycopersicum
var. cerasifome) germplasm for yield and quality traits” was conducted at the experimental farm” was
carried out at Vegetable Research Farm, Department of Vegetable Science, College of Horticulture and
Forestry, Neri, Hamirpur (H.P) during season, 2020. Twenty three diverse genotypes of cherry tomato
comprising of local collections along with two standard checks Punjab Kesar Cherry and Punjab Red Cherry
were evaluated in Randomized Complete Block Design with three replications to ascertain extent of variability,
heritability, genetic advance and gain, correlation and path coefficient analysis for yield and other horticultural
traits among the genotypes. Analysis of variance revealed significant differences among all the genotypes for
all the characters under study. On the basis of overall performance, LC-CT-12-18, LC-CT-02-18 and LC-CT 15-18 were found superior for marketable fruit yield and other important horticultural traits. They could be the
promising parents for utilization in further breeding programmes. The estimates of PCV and GCV were high
for average fruit weight, number of flowers per cluster, number of fruits per cluster, pericarp thickness, number
of locules per fruit, ascorbic acid and yield per plot. High heritability estimates were observed for all the traits
among all genotypes while high estimates of genetic gain were observed for average fruit weight, number of
flowers per cluster, number of fruits per cluster, pericarp thickness, fruit length, ascorbic acid, number of
locules per fruit, fruit yield per plot and shelf life. The correlation studies revealed that fruit yield per plot had
positive and significant correlation with days to 50% flowering, first fruiting node, stem girth, number of
flowers per cluster, number of fruits per cluster, percentage of fruit set, average fruit weight, fruit length,
number of locules per fruit, pericarp thickness, shelf life, total soluble solids and number of seeds per fruits.
The path coefficient analysis revealed that maximum positive direct effect towards fruit yield per plot was
contributed by number of fruits per cluster followed by average fruit weight, pericarp thickness, number of
seeds per fruit, number of locules per fruit, fruit length and percentage of fruit set.