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Vol. 12, Issue 3 (2023)

Genetic variability, heritability, correlation and path coefficient analysis in kale (Brassica oleracea var. acephala L.)

Author(s):
Bisma Bashir, Baseerat Afroza, Raziya Sultana, Nida Manzoor, MI Makhdoomi, Feroz Parray, Mehrajudin Shah, Tamana Khan, Labiba Shah, Sabba Khan and Rizwan Rashid
Abstract:
The goal of the current study was to estimate variability among different kale genotypes for various yield and yield attributing traits, seventeen growth and yield characteristics were examined in total across 29 different Kale germplasm samples. Significant differences between the 29 genotypes Kale were identified by analysis of variance. For all characters, high heritability and genetic advance as a percentage of the mean were found. Studies on correlation coefficients revealed that for the majority of the characters, genotypic correlation coefficient was higher than phenotypic correlation coefficients, indicating a strong inherent association between various characters. Leaf yield showed highly significant and positive correlation with leaf length, leaf width, plant spread, leaf area, number of leaves, duration of picking and total number of pickings. This suggests that these traits were the primary determinants of leaf yield. The highest positive direct effect, according to path coefficient analysis, was of leaf length, plant spread, leaf area, petiole thickness, number of leaves, duration of picking and total number of picking. These characters might benefit from improvement.
Pages: 1014-1018  |  319 Views  155 Downloads


The Pharma Innovation Journal
How to cite this article:
Bisma Bashir, Baseerat Afroza, Raziya Sultana, Nida Manzoor, MI Makhdoomi, Feroz Parray, Mehrajudin Shah, Tamana Khan, Labiba Shah, Sabba Khan, Rizwan Rashid. Genetic variability, heritability, correlation and path coefficient analysis in kale (Brassica oleracea var. acephala L.). Pharma Innovation 2023;12(3):1014-1018.

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