Genetic evaluation of carrot (Daucus carota L.) genotypes
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Date
2022-12-22
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Publisher
CSK HPKV, Palampur
Abstract
The present investigation entitled “Genetic evaluation of carrot (Daucus carota L.)
genotypes” was conducted during Rabi season, 2021- 22 at the Experimental Farm of Department of
Vegetable Science and Floriculture, College of Agriculture, Palampur, HP. The experimental material
consists of fifteen genotypes of carrot including three check varieties. The experiment was laid out in
randomized complete block design with three replications to identify promising genotypes based on
nature and magnitude of genetic variability for root yield and related attributes and to find out the inter relationship among traits and their direct and indirect contribution on marketable yield. Analysis of
variance revealed significant differences among genotypes for all the traits studied except days taken to
marketable maturity. On the basis of overall mean performance of the genotypes the maximum
marketable root yield per plot was found in genotype KTC 9 (4.11kg) and was found statistically at par
with two check varieties Pusa Nayanjyoti (4.11kg) and Pusa Yamdagini (3.67kg). From quality point of
view KTC 17 had highest TSS (11.7o
brix) and dry matter content (13.7), KTC 3 for β-carotene
(5.0mg/100g) and vitamin A (16811.1I.U.). Higher estimates of genotypic (GCV) and phenotypic
coefficient of variation (PCV) were observed for root-top ratio, unmarketable root percentage,
marketable root yield per plot, ascorbic acid, number of marketable roots per plot and total sugar
contents. High heritability accompanied with high or moderate genetic advance as per cent of mean was
recorded for the characters viz. ascorbic acid content, total sugar content, β-carotene content, vitamin A,
marketable root yield per plot, biological yield per plant and leaf weight. Marketable root yield per plot
had significant and positive correlation both at phenotypic and genotypic level with number of
marketable roots per plot, leaf weight, biological yield per plant and root length whereas, at genotypic
level only with moisture content. Further, path coefficient analysis revealed that the maximum positive
direct effectstowards marketable root yield per plot wasrecorded for marketable root weight per plant at both
phenotypic and genotypic level. Thus, indicating importance of selection for bringing improvement in
yield.