Estimation of Genetic and Phenotypic Correlation Coefficients and Path Analysis of Yield and Yield Contributing Traits of Bread Wheat (<i>Triticum aestivum</i> L.) Genotypes

Alemu Dabi; Firew Mekbib; Tadesse Desalegn

doi:doi:10.11648/j.ijnrem.20160104.11

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Estimation of Genetic and Phenotypic Correlation Coefficients and Path Analysis of Yield and Yield Contributing Traits of Bread Wheat (Triticum aestivum L.) Genotypes

Alemu Dabi, Firew Mekbib, Tadesse Desalegn

Published in International Journal of Natural Resource Ecology and Management (Volume 1, Issue 4)

Received: 1 August 2016 Accepted: 13 August 2016 Published: 2 September 2016

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Abstract

Thirty bread wheat genotypes were tested to assess the association among yield and yield contributing traits and determining the direct and indirect effect of the traits on the grain yield. The genotypes were grown in alpha-lattice design at Tongo sub-center of Assosa Agricultural Research Center and Kulumsa Agricultural Research Center in 2015. Grain yield showed significant (p≤0.01) positive phenotypic correlations with thousand kernels weight, above ground biomass, harvest index, hectoliter weight and plant height at each location except for kernels per spike at Tongo and days to maturity at Kulumsa. Similarly, grain yield showed significant (p≤0.01) positive genotypic correlations with 1000 kernel weight, above ground biomass, harvest index,, hectoliter weight and plant height at Tongo and only with above ground biomass and harvest index at Kulumsa. Likewise, significant (p≤0.01) positive and negative phenotypic and genotypic correlations between the yield components were observed at each location. As per the path analysis above ground biomass and harvest index showed high positive phenotypic direct effect on grain yield at each location whereas low positive phenotypic direct effect observed for characters plant height and number of kernel per spike at Tongo and hectoliter weight at Kulumsa. Similarly, at genotypic level above ground biomass and harvest index showed highly significant direct effect on the grain yield at each location. Generally, it has been observed the presence of relationships in the tested traits of the genotypes studied. Hence, Selection and hybridization on those genotypes based on the trait with high positive correlation coefficient and direct effect on grain yield can be recommended for farther yield improvement of bread wheat at respective location.

Published in	International Journal of Natural Resource Ecology and Management (Volume 1, Issue 4)
DOI	10.11648/j.ijnrem.20160104.11
Page(s)	145-154
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Association, Direct and Indirect Effect, Traits

References

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Alemu Dabi, Firew Mekbib, Tadesse Desalegn. (2016). Estimation of Genetic and Phenotypic Correlation Coefficients and Path Analysis of Yield and Yield Contributing Traits of Bread Wheat (Triticum aestivum L.) Genotypes. International Journal of Natural Resource Ecology and Management, 1(4), 145-154. https://doi.org/10.11648/j.ijnrem.20160104.11

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ACS Style

Alemu Dabi; Firew Mekbib; Tadesse Desalegn. Estimation of Genetic and Phenotypic Correlation Coefficients and Path Analysis of Yield and Yield Contributing Traits of Bread Wheat (Triticum aestivum L.) Genotypes. Int. J. Nat. Resour. Ecol. Manag. 2016, 1(4), 145-154. doi: 10.11648/j.ijnrem.20160104.11

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AMA Style

Alemu Dabi, Firew Mekbib, Tadesse Desalegn. Estimation of Genetic and Phenotypic Correlation Coefficients and Path Analysis of Yield and Yield Contributing Traits of Bread Wheat (Triticum aestivum L.) Genotypes. Int J Nat Resour Ecol Manag. 2016;1(4):145-154. doi: 10.11648/j.ijnrem.20160104.11

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@article{10.11648/j.ijnrem.20160104.11,
  author = {Alemu Dabi and Firew Mekbib and Tadesse Desalegn},
  title = {Estimation of Genetic and Phenotypic Correlation Coefficients and Path Analysis of Yield and Yield Contributing Traits of Bread Wheat (Triticum aestivum L.) Genotypes},
  journal = {International Journal of Natural Resource Ecology and Management},
  volume = {1},
  number = {4},
  pages = {145-154},
  doi = {10.11648/j.ijnrem.20160104.11},
  url = {https://doi.org/10.11648/j.ijnrem.20160104.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnrem.20160104.11},
  abstract = {Thirty bread wheat genotypes were tested to assess the association among yield and yield contributing traits and determining the direct and indirect effect of the traits on the grain yield. The genotypes were grown in alpha-lattice design at Tongo sub-center of Assosa Agricultural Research Center and Kulumsa Agricultural Research Center in 2015. Grain yield showed significant (p≤0.01) positive phenotypic correlations with thousand kernels weight, above ground biomass, harvest index, hectoliter weight and plant height at each location except for kernels per spike at Tongo and days to maturity at Kulumsa. Similarly, grain yield showed significant (p≤0.01) positive genotypic correlations with 1000 kernel weight, above ground biomass, harvest index,, hectoliter weight and plant height at Tongo and only with above ground biomass and harvest index at Kulumsa. Likewise, significant (p≤0.01) positive and negative phenotypic and genotypic correlations between the yield components were observed at each location. As per the path analysis above ground biomass and harvest index showed high positive phenotypic direct effect on grain yield at each location whereas low positive phenotypic direct effect observed for characters plant height and number of kernel per spike at Tongo and hectoliter weight at Kulumsa. Similarly, at genotypic level above ground biomass and harvest index showed highly significant direct effect on the grain yield at each location. Generally, it has been observed the presence of relationships in the tested traits of the genotypes studied. Hence, Selection and hybridization on those genotypes based on the trait with high positive correlation coefficient and direct effect on grain yield can be recommended for farther yield improvement of bread wheat at respective location.},
 year = {2016}
}

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TY  - JOUR
T1  - Estimation of Genetic and Phenotypic Correlation Coefficients and Path Analysis of Yield and Yield Contributing Traits of Bread Wheat (Triticum aestivum L.) Genotypes
AU  - Alemu Dabi
AU  - Firew Mekbib
AU  - Tadesse Desalegn
Y1  - 2016/09/02
PY  - 2016
N1  - https://doi.org/10.11648/j.ijnrem.20160104.11
DO  - 10.11648/j.ijnrem.20160104.11
T2  - International Journal of Natural Resource Ecology and Management
JF  - International Journal of Natural Resource Ecology and Management
JO  - International Journal of Natural Resource Ecology and Management
SP  - 145
EP  - 154
PB  - Science Publishing Group
SN  - 2575-3061
UR  - https://doi.org/10.11648/j.ijnrem.20160104.11
AB  - Thirty bread wheat genotypes were tested to assess the association among yield and yield contributing traits and determining the direct and indirect effect of the traits on the grain yield. The genotypes were grown in alpha-lattice design at Tongo sub-center of Assosa Agricultural Research Center and Kulumsa Agricultural Research Center in 2015. Grain yield showed significant (p≤0.01) positive phenotypic correlations with thousand kernels weight, above ground biomass, harvest index, hectoliter weight and plant height at each location except for kernels per spike at Tongo and days to maturity at Kulumsa. Similarly, grain yield showed significant (p≤0.01) positive genotypic correlations with 1000 kernel weight, above ground biomass, harvest index,, hectoliter weight and plant height at Tongo and only with above ground biomass and harvest index at Kulumsa. Likewise, significant (p≤0.01) positive and negative phenotypic and genotypic correlations between the yield components were observed at each location. As per the path analysis above ground biomass and harvest index showed high positive phenotypic direct effect on grain yield at each location whereas low positive phenotypic direct effect observed for characters plant height and number of kernel per spike at Tongo and hectoliter weight at Kulumsa. Similarly, at genotypic level above ground biomass and harvest index showed highly significant direct effect on the grain yield at each location. Generally, it has been observed the presence of relationships in the tested traits of the genotypes studied. Hence, Selection and hybridization on those genotypes based on the trait with high positive correlation coefficient and direct effect on grain yield can be recommended for farther yield improvement of bread wheat at respective location.
VL  - 1
IS  - 4
ER  -

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Author Information

Alemu Dabi

Department of Plant Breeding, Assosa Agricultural Research Center, Assosa, Ethiopia
Firew Mekbib

Department of Plant Breeding, Haramaya University, Haramaya, Ethiopia
Tadesse Desalegn

The German Society for International Cooperation (GIZ) GmbH, Addis Ababa, Ethiopia

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Alemu Dabi, Firew Mekbib, Tadesse Desalegn. (2016). Estimation of Genetic and Phenotypic Correlation Coefficients and Path Analysis of Yield and Yield Contributing Traits of Bread Wheat (Triticum aestivum L.) Genotypes. International Journal of Natural Resource Ecology and Management, 1(4), 145-154. https://doi.org/10.11648/j.ijnrem.20160104.11

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ACS Style

Alemu Dabi; Firew Mekbib; Tadesse Desalegn. Estimation of Genetic and Phenotypic Correlation Coefficients and Path Analysis of Yield and Yield Contributing Traits of Bread Wheat (Triticum aestivum L.) Genotypes. Int. J. Nat. Resour. Ecol. Manag. 2016, 1(4), 145-154. doi: 10.11648/j.ijnrem.20160104.11

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AMA Style

Alemu Dabi, Firew Mekbib, Tadesse Desalegn. Estimation of Genetic and Phenotypic Correlation Coefficients and Path Analysis of Yield and Yield Contributing Traits of Bread Wheat (Triticum aestivum L.) Genotypes. Int J Nat Resour Ecol Manag. 2016;1(4):145-154. doi: 10.11648/j.ijnrem.20160104.11

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@article{10.11648/j.ijnrem.20160104.11,
  author = {Alemu Dabi and Firew Mekbib and Tadesse Desalegn},
  title = {Estimation of Genetic and Phenotypic Correlation Coefficients and Path Analysis of Yield and Yield Contributing Traits of Bread Wheat (Triticum aestivum L.) Genotypes},
  journal = {International Journal of Natural Resource Ecology and Management},
  volume = {1},
  number = {4},
  pages = {145-154},
  doi = {10.11648/j.ijnrem.20160104.11},
  url = {https://doi.org/10.11648/j.ijnrem.20160104.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnrem.20160104.11},
  abstract = {Thirty bread wheat genotypes were tested to assess the association among yield and yield contributing traits and determining the direct and indirect effect of the traits on the grain yield. The genotypes were grown in alpha-lattice design at Tongo sub-center of Assosa Agricultural Research Center and Kulumsa Agricultural Research Center in 2015. Grain yield showed significant (p≤0.01) positive phenotypic correlations with thousand kernels weight, above ground biomass, harvest index, hectoliter weight and plant height at each location except for kernels per spike at Tongo and days to maturity at Kulumsa. Similarly, grain yield showed significant (p≤0.01) positive genotypic correlations with 1000 kernel weight, above ground biomass, harvest index,, hectoliter weight and plant height at Tongo and only with above ground biomass and harvest index at Kulumsa. Likewise, significant (p≤0.01) positive and negative phenotypic and genotypic correlations between the yield components were observed at each location. As per the path analysis above ground biomass and harvest index showed high positive phenotypic direct effect on grain yield at each location whereas low positive phenotypic direct effect observed for characters plant height and number of kernel per spike at Tongo and hectoliter weight at Kulumsa. Similarly, at genotypic level above ground biomass and harvest index showed highly significant direct effect on the grain yield at each location. Generally, it has been observed the presence of relationships in the tested traits of the genotypes studied. Hence, Selection and hybridization on those genotypes based on the trait with high positive correlation coefficient and direct effect on grain yield can be recommended for farther yield improvement of bread wheat at respective location.},
 year = {2016}
}

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TY  - JOUR
T1  - Estimation of Genetic and Phenotypic Correlation Coefficients and Path Analysis of Yield and Yield Contributing Traits of Bread Wheat (Triticum aestivum L.) Genotypes
AU  - Alemu Dabi
AU  - Firew Mekbib
AU  - Tadesse Desalegn
Y1  - 2016/09/02
PY  - 2016
N1  - https://doi.org/10.11648/j.ijnrem.20160104.11
DO  - 10.11648/j.ijnrem.20160104.11
T2  - International Journal of Natural Resource Ecology and Management
JF  - International Journal of Natural Resource Ecology and Management
JO  - International Journal of Natural Resource Ecology and Management
SP  - 145
EP  - 154
PB  - Science Publishing Group
SN  - 2575-3061
UR  - https://doi.org/10.11648/j.ijnrem.20160104.11
AB  - Thirty bread wheat genotypes were tested to assess the association among yield and yield contributing traits and determining the direct and indirect effect of the traits on the grain yield. The genotypes were grown in alpha-lattice design at Tongo sub-center of Assosa Agricultural Research Center and Kulumsa Agricultural Research Center in 2015. Grain yield showed significant (p≤0.01) positive phenotypic correlations with thousand kernels weight, above ground biomass, harvest index, hectoliter weight and plant height at each location except for kernels per spike at Tongo and days to maturity at Kulumsa. Similarly, grain yield showed significant (p≤0.01) positive genotypic correlations with 1000 kernel weight, above ground biomass, harvest index,, hectoliter weight and plant height at Tongo and only with above ground biomass and harvest index at Kulumsa. Likewise, significant (p≤0.01) positive and negative phenotypic and genotypic correlations between the yield components were observed at each location. As per the path analysis above ground biomass and harvest index showed high positive phenotypic direct effect on grain yield at each location whereas low positive phenotypic direct effect observed for characters plant height and number of kernel per spike at Tongo and hectoliter weight at Kulumsa. Similarly, at genotypic level above ground biomass and harvest index showed highly significant direct effect on the grain yield at each location. Generally, it has been observed the presence of relationships in the tested traits of the genotypes studied. Hence, Selection and hybridization on those genotypes based on the trait with high positive correlation coefficient and direct effect on grain yield can be recommended for farther yield improvement of bread wheat at respective location.
VL  - 1
IS  - 4
ER  -

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