Madras Agricultural Journal
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Research Article | Open Access | Peer Review

Multivariate Analysis in Upland Cotton (Gossypium hirsutum L.)

Volume : 100
Issue: Apr-jun
Pages: 333 - 335
Published: April 30, 2023
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Abstract


An experiment was conducted to analyze the genetic diversity among 40 genotypes for 15 quantitative characters which were grouped into 7 clusters based on Mahalanobis D2analysis with cluster I and III being the largest each with 8 genotypes followed by 7 genotypes in cluster VII. Based on Hierarchial cluster analysis all the genotypes were grouped into 7 clusters with cluster VII being the largest each with 13 genotypes followed by 8 genotypes in cluster IV. This random distribution of genotypes indicated absence of parallelism between geographical and genetic diversity. In Principal component analysis first seven principal components with eigen value more than one contributed 87.98 per cent towards the total variability with PC1 alone showing maximum of 22.27 per cent variability.

DOI
Pages
333 - 335
Creative Commons
Copyright
© The Author(s), 2025. Published by Madras Agricultural Students' Union in Madras Agricultural Journal (MAJ). This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited by the user.

Keywords


Cotton Mahalanobis D2 analysis Hierarchial cluster analysis Principal component analysis
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