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Correlations and Path Coefficient Analysis of Major Quantitative Characters in Tef [<em>Eragrostis tef</em> (Zucc.) Trotter] Breeding Lines | OMICS International | Abstract
ISSN: 2329-8863

Advances in Crop Science and Technology
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Correlations and Path Coefficient Analysis of Major Quantitative Characters in Tef [Eragrostis tef (Zucc.) Trotter] Breeding Lines

Habte Jifar Daba*
Department of Genetics and Plant Breeding, Ethiopian Institute of Agricultural Research, Ethiopia
*Corresponding Author: Habte Jifar Daba, Department of Genetics and Plant Breeding, Ethiopian Institute of Agricultural Research, Ethiopia, Tel: +25191 780 7238, Email: [email protected]

Received Date: Feb 20, 2019 / Accepted Date: Mar 12, 2019 / Published Date: Mar 19, 2019

Citation: Habte Jifar Daba (2019) Correlations and Path Coefficient Analysis of Major Quantitative Characters in Tef [Eragrostis tef (Zucc.) Trotter] Breeding Lines. Adv Crop Sci Tech 7: 431.

Copyright: © 2019 Daba HJ. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 
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Abstract

Grain yield is a complex quantitative trait resulting from the interaction of various genetic and environmental factors. Knowledge of the association of characters and the direct and indirect effects of the various characters on grain yield is essential for effective selection in crop improvement. Since such studies are very limited in tef, further research is required. This study was designed to examine the interrelationship among 12 characters and their direct and indirect effect on grain yield. Thus, 28 tef genotypes were evaluated at Holetta, Debre Zeit and Alem Tena during the main cropping season of 2015 in randomized complete block design with three replications. The study results revealed significant and positive genotypic and phenotypic correlation between grain yield and all studied traits other than days to heading and to maturity, lodging index and thousand kernel weight. The estimated values of genotypic correlations were also found to be higher than their respective phenotypic correlations. In the path coefficient analysis, very high (nearly one) genotypic and phenotypic coefficients of determination (R2) were also estimated. The highest positive genotypic and phenotypic direct effects on grain yield per plot was exhibited by total biomass and harvest index, respectively. Total biomass, furthermore, showed the highest genotypic indirect effect on grain yield via all traits other than lodging index and thousand kernel weight. Total biomass, harvest index, second culm diameter, plant height and panicle length, in general, showed positive and significant genotypic association with grain yield. Hence, these characters could be used as target traits for the improvement of grain yield in tef.

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