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Vol. 12, Issue 3 (2023)

Estimation of genetic variability for quantitative traits in Niger (Guizotia abyssinica L. f. Cass) genotypes

Author(s):
Aruna Devi Ahirwar, SK Ahirwar, Surbhi Pachori and Akash Barela
Abstract:
The field experiment conducted at the Zonal Agricultural Research Station, AICRP on Niger, Chhindwara (M.P), during the kharif season 2022-23. The experiments comprised of 12 Niger genotypes including one Check JNS 28.The mean sum of square due to genotypes had highly significant differences at 1% level for almost all characters except plant population which was significant difference at 5% level indicating a wide range of variability among of 12 genotypes for all the characters studied. The GCV and PCV were moderate too low for almost all the characters under studied. The highest PCV and GCV values were found particularly for seed yield due to very high variability available in this traits. Low PCV and GCV found for days to fifty percent flowering, plant height, number of branches per plant, number of capitula per plant, 1000 grain weight, days to maturity and plant population. All the traits under study showed low genetic advance ranging from 0.30 to 11.81 except high genetic advance in seed yield was 191.70. High heritability with high genetic advance over mean were recorded for seed yield. Days to fifty percent flowering, plant height, 1000 grain weight and days to maturity have high heritability coupled with low genetic advance.
Pages: 4360-4362  |  223 Views  150 Downloads


The Pharma Innovation Journal
How to cite this article:
Aruna Devi Ahirwar, SK Ahirwar, Surbhi Pachori, Akash Barela. Estimation of genetic variability for quantitative traits in Niger (Guizotia abyssinica L. f. Cass) genotypes. Pharma Innovation 2023;12(3):4360-4362.

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