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Vol. 12, Issue 5 (2023)

Multivariate analysis to ravel out the trait association for green cob weight and its component characters in sweet corn (Zea mays var. saccharata. L.)

Author(s):
T Nivethitha, R Ravikesavan, A Surendhar, N Kumari Vinodhana and N Senthil
Abstract:
Thirty single cross hybrids of shrunken sweet corn synthesized using six lines and five testers by Line × Tester mating design were evaluated for ten biometrical traits and four quality traits. Correlation analysis concluded that plant height, cob placement height, cob girth, cob length, number of kernels per row and number of kernel rows had the highest positive and significant relationship with green cob weight. Path analysis concluded that number of kernels per row followed by cob length and cob placement height exhibited a high positive direct effect on green cob weight. Therefore, formulating a breeding strategy by emphasizing the above traits during selection can be rewarding in enhancing green cob weight in sweet corn. The quality attributes of sweet corn viz, total soluble solids, total sugars, reducing sugars and non-reducing sugars had a non-significant association with green cob weight. Thus, there is no interdependency between green cob weight and quality traits and both these traits could be improved simultaneously without genetic drag.
Pages: 411-415  |  182 Views  92 Downloads


The Pharma Innovation Journal
How to cite this article:
T Nivethitha, R Ravikesavan, A Surendhar, N Kumari Vinodhana, N Senthil. Multivariate analysis to ravel out the trait association for green cob weight and its component characters in sweet corn (Zea mays var. saccharata. L.). Pharma Innovation 2023;12(5):411-415.

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