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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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Online ISSN : 2319-7706
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Index Copernicus ICV 2017: 100.00
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Int.J.Curr.Microbiol.App.Sci.2019.8(6): 918-926
DOI: https://doi.org/10.20546/ijcmas.2019.806.110


Genetic Variability, Correlation and Path coefficient analysis for Yield and Quality traits in Okra [Abelmoschus esculentus (L.) Moench]
Amba Kumari1*, Vijay Kumar Singh1, Manju Kumari1 and Anand Kumar2
1Department of Vegetable Science, Bihar Agricultural University, Sabour (Bhagalpur)-813210, Bihar, India
2Department of Plant Breeding & Genetics Bihar Agricultural University, Sabour (Bhagalpur)-813210, Bihar, India
*Corresponding author
Abstract:

The present investigation was carried out to estimate the extent of genetic variability for yield, its components and quality traits, genetic association, path coefficient analysis in thirty one hybrids of okra (Abelmoschus esculentus L. Moench). High values of phenotypic and genotypic coefficients of variation were recorded for important traits including yield per plant, number of fruits per plant and primary branches per plant respectively. High heritability were recorded yield per plant (96.00%) followed by ascorbic acid (75.00%), fruit width (73.00%) and number of nodes per plant (61.00%). Genetic advance as percent of mean ranged from 33.03 for yield per plant to 0.70 for days to 50% flowering. High genetic advance was recorded for yield per plant (91.70%). High heritability coupled with high genetic advance was recorded for yield per plant and number of fruits per plant indicating that these characters are governed by additive gene effects and directional selection for these traits would be more effective. fruit length, fruit width, average fruit weight and number of fruits per plant and it was significantly and negatively associated with internodal length and number of nodes. Path analysis revealed that fruit width, number of nodes per plant, days to 50% flowering and TSS had positive direct effect on yield per plant. The present study has clearly indicated the need for giving due weight age to fruit length, fruit width, average fruit weight and number of fruits per plant and number of nodes per plant for improving yield in okra. The above mention traits should be given due emphasis for future okra genetic improvement because they possess high genetic variance, heritability coupled with high genetic correlation among themselves which may yield high genetic advance under proper selection pressure in a breeding programme.


Keywords: Abelmoschus esculentus L. Moench , Genetic variability, Correlation coefficient and path analysis
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How to cite this article:

Amba Kumari, Vijay Kumar Singh, Manju Kumari and Anand Kumar. 2019. Genetic Variability, Correlation and Path coefficient analysis for Yield and Quality traits in Okra [Abelmoschus esculentus (L.) Moench].Int.J.Curr.Microbiol.App.Sci. 8(6): 918-926. doi: https://doi.org/10.20546/ijcmas.2019.806.110