., Veeresh and ., Pampanna, Y. and Diwan, J. R. and Patil, M. G. and ., Ashok, H. (2024) Assessment of Genetic Variability in Okra (Abelmoschus esculentus L. Moench) Genotypes. Journal of Scientific Research and Reports, 30 (8). pp. 234-241. ISSN 2320-0227
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Abstract
The present investigation was carried out at New Orchard, Main Agricultural Research Station, UAS, Raichur, during late Kharif 2021-22 using thirty-one genotypes and laid out in Randomized Block Design (RBD) with three replications. High magnitude GCV and PCV were reported for the traits viz., fruit yield per hectare, fruit yield per plant, number of fruits per plant, plant height, leaf area per plant, number of ridges on fruit surface, fruit girth and fibre content indicates that maximum variability exists in these traits. The traits viz., number of nodes per plant, fruit length, ten fruits weight, shelf-life, stem girth, harvesting period and first flowering node recorded the medium GCV and PCV values. While, low GCV and PCV values were observed for the characters viz., number of leaves per plant, chlorophyll content, days to 50 per cent flowering and days to first flowering showing little variability for these characters. High heritability accompanied by high genetic advance over per cent mean was observed for number of ridges on fruit surface, number of fruits per plant, fruit yield per plant, fruit yield per hectare, fruit girth, leaf area per plant, plant height, number of nodes per plant, fruit length, fibre content, stem girth and ten fruits weight which indicates additive gene effects and selection based on these characters may be effective. Hence, characters showing high to moderate values of PCV, GCV and high estimate of heritability and genetic advance as per cent mean were considered as most important characters and selection of these traits will be more effective in improvement of fruit yield per plant.
Item Type: | Article |
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Subjects: | Scholar Eprints > Multidisciplinary |
Depositing User: | Managing Editor |
Date Deposited: | 25 Jul 2024 05:43 |
Last Modified: | 25 Jul 2024 05:43 |
URI: | http://repository.stmscientificarchives.com/id/eprint/2359 |