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Vol. 12, Issue 8 (2023)

Statistical estimation of genetic parameters to study variability in okra (Abelmoschus esculentus (L.) Moench) for enhancement in economic and quality attributes

Author(s):
Prachi Pattnaik, Anand Kumar Singh, BK Singh and AK Pal
Abstract:
The degree of genetic variety existing in accessible germplasm determines the scope of any crop improvement. An effort was made through the present investigation to appraise the genetic parameters of variability for twenty three morphology, yield and quality parameters in diverse okra genotypes. The experiment was laid under RCBD comprising of 3 replications at Vegetable Research Farm (South Block), Department of Horticulture, Banaras Hindu University, Varanasi. The results pertinent to ANOVA justified significant differences for all the studied attributes. The study showcased that the genotypic coefficient of variation (PCV) had slightly lower magnitudes as compared to analogous values of phenotypic coefficient of variation (GCV) for various studied attributes. The range of per cent GCV varied from 2.12 to 17.72% whereas range of per cent PCV varied 2.33 to 19.56%. Moderate magnitudes were noticed for all attributes in case of both genotypic as well as phenotypic coefficient of variation. The estimates of moderate GCV and PCV % (10-20%) recorded highest in number of primary branches per plant followed by vitamin C content and fruit yield in order of merit which suggested the possibility of selection for improving these characters in segregating generations. Small differences between the magnitudes of GCV and PCV% indicated less control exerted by the environmental factors on these traits. Majority of the parameters showcased heritability (broad sense) in the higher range, whereas, low per cent of heritability was not noticed for any of the traits. The top three traits exhibiting high heritability conjoined with high genetic advance (as % of mean) included plant height followed by internode length and number of primary branches per plant which pointed out the role of more of additive gene effects, thereby suggesting that further improvement of these parameters might be efficacious through selection.
Pages: 1505-1508  |  188 Views  135 Downloads


The Pharma Innovation Journal
How to cite this article:
Prachi Pattnaik, Anand Kumar Singh, BK Singh, AK Pal. Statistical estimation of genetic parameters to study variability in okra (Abelmoschus esculentus (L.) Moench) for enhancement in economic and quality attributes. Pharma Innovation 2023;12(8):1505-1508.

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