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Vol. 9, Issue 4 (2020)

Genetic variability studies in fennel (Foeniculum vulgare L.)

Author(s):
Jaydev Seet, VP Pandey, Devraj Singh and Madhuri Pattnaik
Abstract:
The present investigation was conducted during October 2014 - May 2015 at Main Experimental Station of Vegetable Science, Narendra Deva University of Agriculture & Technology, Kumarganj, Ayodha (U.P.). The field experiment was laid out in Augmented Block Design with 60 genotypes along with two checks in six blocks accomodating ten genotypes and two checks in each block. The characters studied were days to 50% flowering, Plant height (cm), number of branches per plant, number of umbels per plant, number of umbellets per umbel, number of grains per umbellets, days to maturity, weight of grains per umbel (g), 1000 seed weight(g), seed yield per plant (g) and Seed yield (q/ha). Data were analyzed statistically for their mean, range, coefficient of variation, heritability, genetic advance as per cent of mean and genetic divergence using non-heirarchical euclidean cluster analysis. Analysis of variance for the design of experiment revealed highly significant differences among genotypes for all the characters except branches per plant (0.35*) and test weight (0.33*). Based on mean performance for yield and yield components, the NDF-46 (58.80g), NDF-51 (52.83g), NDF-5 (52.63g), NDF-45 (49.90g) and NDF-49 (48.90g) were identified as most promising genotypes for seed yield per plant. The highest genotypic and phenotypic coefficients of variances were observed for umbels per plant (20.38% and 20.45%) and lowest for days to maturity (1.571% and 1.770%, respectively). High heritability coupled with high genetic advance in percent of mean were observed for Umbels per plant, yield per plant, seed yield (q/ha) and weight of grains per umbel indicating the importance of additive gene effects for these traits.
Pages: 160-164  |  767 Views  140 Downloads


The Pharma Innovation Journal
How to cite this article:
Jaydev Seet, VP Pandey, Devraj Singh, Madhuri Pattnaik. Genetic variability studies in fennel (Foeniculum vulgare L.). Pharma Innovation 2020;9(4):160-164.

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