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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 6, Issue:11, November, 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(11): 724-734
DOI: https://doi.org/10.20546/ijcmas.2017.611.085


Multivariate Analysis on Extant Desi Cotton Genotypes (G. arboreum and G. herbaceum L.) Employing Qualitative Characteristics
K. Rathinavel*, C. Priyadharshini and H. Kavitha
Central Institute for Cotton Research, Regional Station, Coimbatore-641003, T.N., India
*Corresponding author
Abstract:

A trial was conducted to record the morphological traits of 57 extant diploid cotton varieties for documentation and maintenance of reference varieties for Distinctiveness Stability and Uniformity testing of new cotton varieties. Using this data diversity among the diploid cotton genotypes was explored through multivariate and clustering method. Out of 26 characters studied, 23 were polymorphic and three traits viz., stem pigmentation, pollen colour and male sterility were non polymorphic. Among the traits studied, petal colour was observed with higher variation followed by seed index and ginning %. Nine principal components had Eigen values >1 and together accounted for 76.03% of the variability in diploid cotton. The PC1 accounted for variance of 22.06 per cent and mainly contributed by traits like petiole pigmentation, anther filament colouration, boll opening, boll surface, leaf shape, hypocotyl pigmentation, ginning percent, boll colour and leaf colour. In the spread out plot, the genotypes viz., G 27, CISAA-2/ (CICR 2), Lohit, HD 324, PAU 626, AKA 7, DS 5, HD 123, G.Cot.23 and G.Cot.17 were found at the vertex of the polygon and are more diversified. The 57 genotypes were grouped together into four clusters. Cluster I was mainly contributed by traits like absence of anther filament colouration, petiole pigmentation and smooth boll surface, cluster IV by absence of anther filament colouration in group 2 (AAH1 and HD 266). So the above-identified genotypes are very much useful for future crop improvement programme.


Keywords: Morphological character, DUS test, Multivariate, Clustering, Diversity, Dendrogram.

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How to cite this article:

Rathinavel, K., C. Priyadharshini and Kavitha, H. 2017. Multivariate Analysis on Extant Desi Cotton Genotypes (G. arboreum and G. herbaceum L.) Employing Qualitative Characteristics.Int.J.Curr.Microbiol.App.Sci. 6(11): 724-734. doi: https://doi.org/10.20546/ijcmas.2017.611.085
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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