International Journal of Chemical Studies
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P-ISSN: 2349-8528, E-ISSN: 2321-4902   |   Impact Factor: GIF: 0.565

Vol. 7, Issue 5 (2019)

Correlation and path analysis among CMS lines and their maintainers for yield and quality attributes in cabbage (Brassica oleracea var. capitata L.)


Author(s): Shaina Sharma, Sanjay Chadha, Nitish Sharma and Paras Singh

Abstract: The present investigation was undertaken at ‘Vegetable Research Farm’ of the Department of Vegetable Science and Floriculture, CSKHPKV Palampur. Twenty three genotypes [15 CMS lines + six maintainer lines + two checks namely KGMR-1 (public sector commercial hybrid) and Varun (private sector commercial hybrid)] were evaluated in Randomized Complete Block Design with three replications during Rabi, 2017-18. Estimates of correlation coefficient revealed significant positive association of marketable head yield per plot with net head weight, equatorial diameter, gross head weight, polar diameter, plant spread and ascorbic acid content. At phenotypic level, the main characters which showed the maximum direct positive effect on marketable head yield per plot were net head weight, marketable heads per plot, polar diameter, compactness of head and equatorial diameter and at genotypic level high positive direct effect on marketable head yield per plot was observed for equatorial diameter, head shape index, compactness of head, gross head weight, marketable heads per plot, polar diameter, days to harvest and TSS. Estimates of indirect effect showed that most of the traits contributed towards marketable head yield per plot via net head weight.

Pages: 2731-2737  |  232 Views  57 Downloads

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How to cite this article:
Shaina Sharma, Sanjay Chadha, Nitish Sharma, Paras Singh. Correlation and path analysis among CMS lines and their maintainers for yield and quality attributes in cabbage (Brassica oleracea var. capitata L.). Int J Chem Stud 2019;7(5):2731-2737.
 

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