Multivariate analysis in advance lines of okra (Abelmoschus esculentus)
Keywords:
Abelmoschus esculentus, Clusters, Genetic divergence, Genotypes, TraitsAbstract
An attempt was made to determine the degree of divergence among 37 genotypes of okra. The multivariate analysis (D2) arranged 37 genotypes into 8 clusters in pooled over years and hence, showed reasonable variability. The cluster I was the largest, comprising of 54.54% genotypes , showing high degree of homogeneity among them or had least genetic variation. The intra-cluster distance was high in cluster VI and VIII followed by cluster II. Maximum intercluster distance was observed between cluster II and VI in pooled over years. Based on cluster means, cluster IV ‘(IC-169469-1 × PK)-1-2-1-2’ for fruits/plant and nodes/plant and cluster III ‘(VRH-2 × VRO-6)-9-2-1-3’ for fruit yield/plant were found high for pooled over years. The contribution of individual character toward diversity, calculated by using Mahalanobis D2divergence, showed that the mineral content (58.71%), dry matter (22.07%) fruit yield/plant (12.31%) and internodal length (3.15%) was the most important characteristic for divergence in pooled over the years.
Downloads
References
Aremu C O, Adebayo M A, Ariyo O J and Adewale B B . 2007. Classification of genetic diversity and choice of parents for hybridization in cowpea Vigna unguiculata (L.). African Journal of Biotechnology , 6 (20): 2 333–9. DOI: https://doi.org/10.5897/AJB2007.000-2366
Cruz C D. 1990. Aplicação de algumas técnicas multivariadas no melhoramento de plantas. Ph D Thesis, ESALQ/USP, Piracicaba, p 188.
Cruz C D and Regazzi A J. 2001. Modelos biométricos aplicados ao melhoramento Genético. Imprensa Universitária, Viçosa, p 390.
Dhankhar S K, Dhankhar B S and Yadava R K. 2008. Cluster analysis on advanced breeding lines for morphological characters and yield components in okra. Indian Journal of Horticulture , 65(3): 289–92.
Duzyaman E and Vural H. 2002. Different approaches of the improvement process in some local okra varieties. Acta ,Horticulture, 579: 139–44. DOI: https://doi.org/10.17660/ActaHortic.2002.579.20
Hamon S and Van Sloten D H. 1989. Characterization and evaluation of okra. (In) The Use of Plant Genetic Resources, pp 173–96. Brown A D H, Frankel O H, Marshall D R and Williams J T (Eds.) Cambridge University Press, Cambridge, UK.
Mahalanobis P C. 1936. On the generalized distance in statistics. Proceedings of National Institute of Sciences, 12: 49–55.
Nwangburuka C C, Kehinde O B, Ojo D K, Denton O A and Popoola A R. 2011. Morphological classification of genetic diversity in cultivated okra [Abelmoschus esculentus (L.) Moench] using principal component analysis (PCA) and single linkage cluster analysis (SLCA). African Journal of Biotechnology, 10(54): 11 165 –72. (Page number is right). DOI: https://doi.org/10.5897/AJB11.285
Pachiyappan R and Saravanan K. 2012. Genetic divergence analysis in okra [Abelmoschus esculentus (L.) Moench]. Plant Archives, 12(1): 331–4.
Palomino E C, Mori E S and Zimback L. 2005. Genetic diversity of common bean genotypes Carioca commercial group using RAPD markers. Crop Breeding Applications (ins Biotechnology, 5: 80–5. DOI: https://doi.org/10.12702/1984-7033.v05n01a10
Pradip K, Akotkar D K and Pal A K. 2010. Genetic variability and diversity in Okra (Abelmoschus esculentus L. Moench). Electronic Journal of Plant Breeding, 1 (4): 393–8.
Rao A V, Prasad S R, Saikrishna T, Sechu D V and Srinivasan T E. 1981. Genetic divergence among some brown planthopper resistant rice varieties. Indian Journal of Genetics and Plant Breeding, 41: 179–85.
Rao C R. 1952. Advanced Statistical Methods in Biometrical Research, p 390. John Wiley and Sons, New York.
Reddy M T, Haribabu K, Ganesh M, Chandrasekhar K R and Begum H. 2012. Genetic divergence analysis of indigenous and exotic collections of okra (Abelmoschus esculentus (L.) Moench). Journal of Agricultural Technology, 8(2): 611–23. DOI: https://doi.org/10.24102/ijafr.v2i4.179
Rohit G, Pathak M and Bal S S. 2011. A study on genetic diversity among okra varieties. Crop Improvement, 38(1): 48–52.
Sawadogo F M, Jeremy T O, Balma D, Ouedraogo M, Gowda B S, Botanga C and Timko M P. 2009. The use of cross species SSR primers to study genetic diversity of okra from Burkina. African Journal of Biotechnology, 8(11): 2 476–82.
Schippers R R. 2000. African indigenous vegetables - An overview of the cultivated species. Natural Resources Institute/ACP-EU Technical Centre for Agricultural and Rural Cooperation, Chatham, UK: pp 103–18.
Sekyere D O, Akromah R, Nyamah E Y, Brenya E and Yeboah S. 2011. Characterization of okra (Abelmoschus sp. L.) germplasm based on morphological characters in Ghana. Journal of Plant Breeding and Crop Science, 3(13): 367–78.
Sharma J P, Singh A K, Kumar S and Sharma N. 2008. Genetic divergence studies in okra [Abelmoschus esculentus (L.) Moench]. Journal of Research, 7(1): 99–104.
Singh B, Singh R and Sanwal S K. 2012. Multivariate analysis in relation to breeding system in okra. Indian Journal of Horticulture, 69 (4): 536–9.
Singh R K and Dubey B K. 2011. Studies on genetic divergence in onion advance lines. Indian Journal of Horticulture, 68 (1): 123–7.
Tam S M, Mhiri C and Vogelaar A. 2005. Comparative analyses of genetic diversities within tomato and pepper collections detected by retrotransposon-based SSAP, AFLP and SSR. Theoretical and Applied Genetics, 110: 819–31. DOI: https://doi.org/10.1007/s00122-004-1837-z
Teixeira A, Rosana R and Telma N S. 2004. Genetic divergence in snap-bean (Phaseolus vulgaris L.) evaluated by different methodologies. Crop Breeding and Applied Biotechnology, 4(1): 57–62. DOI: https://doi.org/10.12702/1984-7033.v04n01a09
Umrao V, Sharma S K, Kumar R, Kumar V and Sharma A. 2014. Genetic variability and divergence analysis in okra [Abelmoschus esculentus (L.) Moench]. HortFlora Research Spectrum, 3(2): 127–32.
Yonas M, Garedew W and Debela A. 2014. Multivariate analysis among Okra (Abelmoschus esculentus (L.) Moench) collection in South Western Ethiopia. Journal of Plant Sciences, 9: 43–50. DOI: https://doi.org/10.3923/jps.2014.43.50
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2017 The Indian Journal of Agricultural Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The copyright of the articles published in The Indian Journal of Agricultural Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.