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VOL. 7, ISSUE 12 (2020)
Cluster analysis, genotypic and phenotypic correlation among yield and fire contributing traits in cotton (Gossypium hirsutum l.) germplasm under normal and drought conditions
Authors
Muhammad Akbar, Syed Bilal Hussain, Farzana Ashraf, Muhammad Zubair
Abstract
Cotton is known as the most important agricultural as well as industrial crop all around the world. Fifty different cotton genotypes were used in this study using RCB Design repeated thrice. Results showed the existance of highly significant positive correlation between seed cotton yield with various parameters viz., Plant height (PH), number of bolls (NB), boll weight (BW) at phenotypic level and positive significant with these traits at genotypic level under normal condition. Non significant association of SCYwith SL and SS. Under drought condition, SCY has highly significant positive correlation with the NB, and BW at phenotypic level and positive significant with these traits at genotypic level under drought condition. The 50 genotypes were placed into five distinct clusters Reference to comparison, Cluster-I is important for all the traits under study under both the conditions because these characters showed the highest value in this cluster. Cluster-V has the lowest values of these parameters. Such type of finding can be helpful in breeding programs for cotton improvement.
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Pages:66-70
How to cite this article:
Muhammad Akbar, Syed Bilal Hussain, Farzana Ashraf, Muhammad Zubair "Cluster analysis, genotypic and phenotypic correlation among yield and fire contributing traits in cotton (<em>Gossypium hirsutum </em>l.) germplasm under normal and drought conditions". International Journal of Multidisciplinary Research and Development, Vol 7, Issue 12, 2020, Pages 66-70
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