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Vol. 11, Issue 12 (2022)

Correlation and path coefficient analysis of growth and yield contributing characters in mulberry (Morus spp.) under North West India

Author(s):
Santoshkumar Magadum and Sardar Singh
Abstract:
The present study was carried out to assess the correlation and path coefficient analysis of growth and yield contributing characters in 18 mulberry genotypes at Regional Sericultural Research Station, Central Silk Board, Miran Sahib, Jammu during Autumn, 2019. Analysis of variance for growth and yield contributing characters showed highly significant differences among the genotypes. Correlation analysis revealed that leaf yield per plant was positive and significantly associated with number of new shoots per plant, longest shoot length, number of leaves per meter, diameter of shoot, total shoot length and weight of 10 fresh leaves. Further, number of new shoots per plant, number of leaves per meter, internodal distance, leaf area, total shoot length and weight of 10 fresh leaves had a high direct effect on the leaf yield per plant and these traits can be used for indirect selection. Therefore, number of new shoots per plant, longest shoot length, number of leaves per meter, leaf area, total shoot length and weight of 10 fresh leaves may be given more emphasis during selection in mulberry improvement programme.
Pages: 5145-5148  |  139 Views  58 Downloads


The Pharma Innovation Journal
How to cite this article:
Santoshkumar Magadum, Sardar Singh. Correlation and path coefficient analysis of growth and yield contributing characters in mulberry (Morus spp.) under North West India. Pharma Innovation 2022;11(12):5145-5148.

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