Multivariate analysis for assessing genetic diversity in different genotypes of okra (Abelmoschus esculentus L. Moench) for varietal improvement
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https://orcid.org/0000-0003-4780-1641
R. Ebenezer Babu Rajan
C. Praveen Sampath Kumar
J. Sam Ruban
Abstract
Accurate assessment of genetic diversity facilitates the strategic identification of superior genotypes, enabling the development of high-yielding, climate-resilient cultivars and promoting effective crop improvement strategies. The present study was carried out with 48 different genotypes of Okra (Abelmoschus esculentus (L.) Moench) during (Jan-April 2022) to investigate their genetic diversity. The analysis of genetic divergence using D2 statistics revealed substantial variation among genotypes for the twelve traits studied. The 48 genotypes were grouped into nine clusters, with cluster IV having the highest representation of 24 genotypes, followed by cluster II with 12 genotypes, cluster I with 4 genotypes, cluster III with 3 genotypes, and the remaining clusters with one genotype each. The intra and inter-cluster D2 values ranged from 0 to 95.29 and 103.00 to 588.71, respectively. The highest intra-cluster distance was observed in Cluster III (95.29), and highest inter-cluster distance was observed between cluster V and IX (588.71). This range clearly demonstrated that the inter-cluster distance was greater than the intra-cluster distance indicating wide diversity across the groups. Cluster VII showed a high mean for traits plant height (112.53), peduncle length (3.14), fruit length (20.03), and number of locules (7.87). Cluster V showed the highest mean for the number of fruits (39.33) and yield per plant (1.18). The analysis of all characters' relative contributions showed that the number of fruits per plant and the number of locules per fruit contributed most to genetic divergence. High heterotic effects and desired transgressive segregants are anticipated when different genotypes from clusters with the greatest inter-cluster distance are used for hybridization.
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Clusters, Genetic Diversity, Intra and Inter-cluster distance, Multivariate analysis
Koli, H. K., Patel, A. I., Vshai, J. M. & Chaudhari, B. N. (2020). Study of Heterosis for Fruit Yield and its Component Traits in Okra [Abelmoschus esculentus (L.) Moench]. Int. J. Curr. Microbiol. App. Sci, 9(9), 1930-1937. https://doi.org/10.20546/ijcmas.2020.909.242.
Kumar, S., Parekh, M. J., Fougat, R. S., Patel, S. K., Patel, C. B., Kumar, M., & Patel, B. R. (2017). Assessment of genetic diversity among okra genotypes using SSR markers. Journal of plant biochemistry and biotechnology, 26, 172-178. https://doi.org/10.1007/s13562-016-0378-2.
Mahalanobis KC. (1936). On the generalized distance in statistics. Proc. Nat. Inst. Sci., India, 2: 49-55.
Nanthakumar, S., Kuralarasu, C., & Gopikrishnan, A. (2021). D2 analysis for assessing genetic diversity in okra (Abelmoschus esculentus (L) Moench). Electronic Journal of Plant Breeding, 12(4), 1249-1253. https://doi.org/10.37992/2021.1204.171.
Patel, A. I., Vrunda, R., Vashi, J. M., & Chaudhari, B. N. (2019). Correlation and path analysis studies in okra (Abelmoschus esculentus (L.) Moench). Acta Scientific Agriculture, 3(2), 65-70.
Ranpise, P. S., Joshi, V. R., & Patil, B. T. (2018). Diversity studies in okra (Abelmoschus esculentus (L.) Moench.). Journal of Pharmacognosy and Phytochemistry, 7(1), 1412-1414.
Rao CR. (1952). Advanced statistical Method in Biometrical Research. John Wiley and sons, New York, Pp. 357- 364.
Reddy, M. T., Haribabu, K., Ganesh, M., Reddy, K. C., & Begum, H. (2012). Genetic divergence analysis of indigenous and exotic collections of okra (Abelmoschus esculentus (L.) Moench). Journal of Agricultural Technology, 8(2), 611-623.
Sood, S., Kapoor, D., Devi, J., & Gupta, N. (2017). Multivariate analysis in advance lines of okra (Abelmoschus esculentus). Indian J Agric Sci, 87, 363-368.
Singh, R. K., and B. D. Choudhury. (1985). In: Biometrical methods in quantitative genetic analysis. Kalyani Publishers, New Delhi.
Priyanka, D. V., Reddy, M. T., Begum, H., Sunil, N., & Jayaprada, M. (2017). Genetic divergence analysis of inbred lines of okra (Abelmoschus esculentus (L.) Moench). International Journal of Current Microbiology and Applied Science, 6(11), 379-388. https://doi.org/10.20546/ijcmas.2017.611.043
Saleem, A. M., Ziaf, K., Amjad, M., Shakeel, A., Ghani, M. A., & Noor, A. (2023). Assessment of Genetic Diversity Among Okra Genotypes Through PCA and Correlation Analysis for Fruit Tenderness, and Morphological and Yield Traits. Pak. J. Bot, 55(2), 555-562. https://doi.org/10.30848/pjb2023-2(34)
Asha I. S., Bhaganna Haralayya, S. Gangaprasad, Netravati & P. M. Salimath. (2015). Analysis Of Genetic Divergence in Okra [Abelmoschus Esculentus (L.) Moench]. The Ecoscan, Special issue, 7, 35-39.
Kumari, M., Solankey, S. S., Kumar, K., Kumar, M., & Singh, A. K. (2019). Implication of Multivariate Analysis in Breeding to Obtain Desired Plant Type of Okra (Abelmoschus esculentus (L.) Moench. Current Journal of Applied Science and Technology, 36(4), 1-8. https://doi.org/10.9734/cjast/2019/v36i430248.
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