Genetic divergence assessment in Kale (Brassica oleracea L var. acephala (DC.) Alef.) by using the multivariate analysis
DOI:
https://doi.org/10.24154/jhs.v12i1.68Keywords:
Kale, genetic diversity, principal component analysis, single linkage cluster analysisAbstract
A total of 87 genotypes collected from different geographical areas of Kashmir valley evaluated at one site to determinate genetic variability. Considerable diversity was found in different traits of horticultural importance. High coefficient of variation and wide range and mean differences of studied traits indicated the existence of wide genetic variability. Three principal component having eigen value more than one and cumulatively accounted for 84.85 percent of total variability of evaluated horticultural traits. The leaf weight, leaf length, leaf width, leaf yield / plant and yield (q/ha) were major contributing traits towards the first principal component. Similarly number of number of leaves/plant was impotent contributed traits toward principal component -II, whereas plant height was main contributing traits to principal component -III. The maximum inter cluster D2 value (731.04) was observed between cluster IV and cluster -I and followed by between cluster -V and cluster- I (677.29) and between cluster II and I (430.13).It indicated that genotypes belongings with these groups were genetically most divergent and may be use for hybridization to get better segregants.
References
Ahmed,N.,Singh,S.R., Lal S., Mir K. A., Asima, A.,Habib, K. and Salmani, M. 2015. Assessment of genetic diversity in brinjal (Solanum melongena L.) genotypes using multivariate analysis. Indian J. Hort. 71:494-498.
Ario, O. J. and Odulaza, A. 1991. Numerical analysis of variation among accessions of okra. (A. esculentus L. Moench). Malvaceae. Ann. Bot. 67:527-531
Denton, O. A. and Nwangburuka, C. C. 2011.Genetic Variability in Eighteen Cultivars of Solanum anguiviam L. using Principal component Analysis (PCA) and Single Linkage Cluster Analysis (SLCA). An of Biol. Res. 2 :62-67
Kovacic, Z. 1994. Multivariate analysis. Faculty of Economics, University of Belgrade (In Serbian) 293p.
Mahalanobis, P. C. 1936. On the generalized distance in Statistics. Proc. Nati. Inst. Sci. India. 2: 49-55.
Maria, E.C., Ana, P., Soengas, P. and Amando. O . 2002. Morphlogical characterization of kale population from North Western Spain. Euphytica: 129:25-32.
Meena, O. P. and Bahadur, V. 2015. Breeding potential of indeterminate tomato (Solanum lycopersicum L) accessions using D2 analysis. SARRAO J. Bree. and Gen 47(1)49-59.
Rahman. M. M. and Mansur. A. M. 2009. Genetic divergence analysis of lime. J. Ban. Agri. Univ. 7: 33–37.
Rao, C. R. 1952. Advanced Statistical Methods in Biometrics Research. John Wiley and Sons, New York, pp. 357-69
SAS Istitute.2011.SAS enterprise guide.Version9.2SAS, Institute,Cary NC,USA.
Shalini, M., Sharma. S., Gupta, M. M., Shashi, K. 2003.Evaluation of an Indian germ plasm collection of medicinal plants Bacopa monnieri (L) Pennell by use of multivariate aprochess.Euphytica.133:255-65.
Singh, R. K. and Choudhry, B. D. 1985. Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers, New Delhi, p. 318.
Singh, S. R., Ahmed, N., Lal, S., Ganaie, S. A., Mudasir, A., Nusarat, J. and Asima, A. 2013. Determination of genetic diversity in onion (Allium cepa L) by multivariate analysis under long day conditions. Afri. J. Agri. Res. 8: 5599-606.
Downloads
Published
Issue
Section
License
Copyright (c) 2017 S R Singh, N Ahamed, Dinesh Kumar, K K Srivatsava, Sabeena Yousuf, Abid Mir (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors retain copyright. Articles published are made available as open access articles, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited.
This journal permits and encourages authors to share their submitted versions (preprints), accepted versions (postprints) and/or published versions (publisher versions) freely under the CC BY-NC-SA 4.0 license while providing bibliographic details that credit, if applicable.