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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 6, Issue:10, October, 2017

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(10): 2951-2956
DOI: https://doi.org/10.20546/ijcmas.2017.610.348


Genetic Diversity Analysis in Okra (Abelmoschus esculentum (L.) Moench) Genotypes for Productivity and Quality Traits
M. Prakash*, T.B. Alloli, D. Satish, C.P. Mansur, Venkateshalu, S. Raghavendra and H.P. Hadimani
Department of Horticulture, College of Horticulture, University of Horticultural Sciences, Bagalkot-587 104, Karnataka, India
*Corresponding author
Abstract:

Genetic diversity among sixty three okra genotypes was estimated using Mahalanobis D2 statistic. The genotypes were grouped into nine clusters. The maximum number of genotypes was found in cluster I (36) followed by cluster III (15) and Cluster II (6). Remaining all were solitary clusters with single genotype. The characters viz total phenols (21.35 %), number of leaves at 90 DAS (12.08 %), fruit length (11.73 %) and plant height at 90 DAS (10.60%) contributed more towards genetic divergence. Cluster III with fifteen genotypes showed maximum intra cluster distance (D2= 130.13) followed by cluster II (D2= 82.57) with six genotypes and Cluster I (D2= 66.10) with thirty six genotypes. Maximum inter-cluster distance was observed between cluster VI and cluster VI. Hence, genotypes belonging to these clusters may be utilized for hybridization programme to get better recombinants


Keywords: Okra, Genetic diversity, D2 statistics, Intra and inter cluster distance.

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How to cite this article:

Prakash, M., T.B. Alloli, D. Satish, C.P. Mansur, Venkateshalu, S. Raghavendra and Hadimani, H.P. 2017. Genetic Diversity Analysis in Okra (Abelmoschus esculentum (L.) Moench) Genotypes for Productivity and Quality Traits.Int.J.Curr.Microbiol.App.Sci. 6(10): 2951-2956. doi: https://doi.org/10.20546/ijcmas.2017.610.348
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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