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Abstract            Volume:12  Issue-2  Year-2024         Original Research Articles


Online ISSN : 2347 - 3215
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcret@gmail.com

Correlation and Path Coefficient Analysis of Sunflower Genotypes for Economically Important Agronomic Characters
Tilahun Mola*
Holeta Agricultural Research Center, Holeta, Ethiopia
*Corresponding author
Abstract:

Sunflower genotypes, 220, were evaluated for various traits under field conditions to estimate correlation coefficient and path analysis. The objectives of the study were to determine correlation and traits association among economically important agronomic traits of sunflower genotypes. The Analysis of variance showed highly significant (p<0.01) differences among the tested genotypes. Highly significant and positive phenotypic correlation was observed between seed yield per hectare and all studied traits except stand percentage, hundred seed weight and oil content. Highly Significant and positive genotypic correlation was observed between seed yield per hectare and all studied traits. Phenotypically, seed yield per hectare was positive and directly affected by days to flowering, leaf number per plant, stand percentage, seed yield per head and oil yield but negative effects were recorded by days to maturity, plant height, stem diameter, head diameter, petiole length, hundred seed weight, seed filling percentage and seed number per plant. Genotypic path coefficient analysis also showed that there was positive direct effect on seed yield per hectare by days to flowering, stem and head diameter, leaf number per plant, stand percentage, seed yield per head and oil yield. Improvement of sunflower genotypes having traits namely early to medium maturing, big-headed & tough stem, seed yield & number per head, medium plant height, hundred seed weight, oil content, seed filling percentage should be emphasized to obtain genotypes with high seed yield and oil content for the farming society and investors as well.

Keywords: Sunflower, phenotypic, Genotypic, Correlation, path analysis.
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How to cite this article:

Tilahun Mola. 2024. Correlation and Path Coefficient Analysis of Sunflower Genotypes for Economically Important Agronomic Characters.Int.J.Curr.Res.Aca.Rev. 12(2): 44-56
doi: https://doi.org/10.20546/ijcrar.2024.1202.006
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.