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Journal code(s)
- E-ISSN Number: 2277-7695
- P-ISSN Number: 2349-8242
- CODEN Code: PIHNBQ
- ZDB-Number: 2663038-2
- IC Journal ID: 7725
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Vol. 12, Issue 12 (2023)
Variability studies for fruit yield and its components okra (Abelmoschus esculentus (L.) Moench)
Author(s):
AP Ghadage, SP Pole, AJ Salunke, PM Salunke and SG Dhawale
AP Ghadage, SP Pole, AJ Salunke, PM Salunke and SG Dhawale
Abstract:
The present investigation was conducted to assess genetic variability. Character association and path analysis with respect to fruit yield and its components in 40 genotypes of okra (Abelmoschus esculentus (L.) Moench) along with one check in a Randomized Block Design with two replications at the Experimental Farm, during Kharif-2022. The characters studied were days to 50 percent flowering, plant height, internodal length, number of nodes per plant, number of branches per plant, fruit length, fruit diameter, number of fruits per plant, fruit weight, days to first picking, YVMV incidence and fruit yield per plant. The observations were recorded on five selected plants for above mentioned characters.
The present investigation was conducted to assess genetic variability. Character association and path analysis with respect to fruit yield and its components in 40 genotypes of okra (Abelmoschus esculentus (L.) Moench) along with one check in a Randomized Block Design with two replications at the Experimental Farm, during Kharif-2022. The characters studied were days to 50 percent flowering, plant height, internodal length, number of nodes per plant, number of branches per plant, fruit length, fruit diameter, number of fruits per plant, fruit weight, days to first picking, YVMV incidence and fruit yield per plant. The observations were recorded on five selected plants for above mentioned characters.
Analysis of variance indicated significant differences for all the traits under study, indicating the presence of wide genetic variability in the experimental material studied. The magnitude of GCV and PCV was recorded to be high for days to 50 percent, plant height, internodal length, number of nodes per plant, fruit length, fruit diameter and fruit weight, number of fruits per plant, days to first picking and fruit yield per plant.
The higher values of PCV than GCV for a character, suggesting the environmental influence on the characters.
The close correspondence between GCV and PCV for most of the traits indicated lesser environmental influence on the expression of these traits. While the higher magnitude of difference between PCV and GCV indicates more environmental effect on the traits.
The least value of PCV was observed for days to 50 percent flowering, days to first picking. While moderate for plant height, internodal length, number of nodes per plant, fruit length, fruit diameter and fruit weight, number of fruits per plant and fruit yield per plant showing the additive type of gene action so these traits are suitable for selection.
Pages: 2861-2863 | 107 Views 61 Downloads
How to cite this article:
AP Ghadage, SP Pole, AJ Salunke, PM Salunke, SG Dhawale. Variability studies for fruit yield and its components okra (Abelmoschus esculentus (L.) Moench). Pharma Innovation 2023;12(12):2861-2863.
Journal code(s)
- E-ISSN Number: 2277-7695
- P-ISSN Number: 2349-8242
- CODEN Code: PIHNBQ
- ZDB-Number: 2663038-2
- IC Journal ID: 7725
Main Menu
Special Issue
Copyright Form
Identifier
The Pharma Innovation Journal
