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 |
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.

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): 44-56doi: https://doi.org/10.20546/ijcrar.2024.1202.006



Quick Navigation
- Print Article
- Full Text PDF
- How to Cite this Article
- on Google
- on Google Scholor
- Citation Alert By Google Scholar