Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (<i>Triticum aestivum </i>L.) Lines in Eastern Ethiopia

Almaz Bedada; Bulti Tesso; Ermias Habte

doi:doi:10.11648/j.jps.20221001.12

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Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia

Almaz Bedada, Bulti Tesso, Ermias Habte

Published in Journal of Plant Sciences (Volume 10, Issue 1)

Received: 2 December 2021 Accepted: 5 January 2022 Published: 12 January 2022

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Abstract

Developing high yielding bread wheat genotypes with superior agronomic trait requires understanding the extent of genetic variability in existing germplasm. The current study was designed to generate information on genetic variability and inheritance of yield and its component traits using 36 advanced bread wheat lines. Field experiment was conducted in 2018 cropping season at Haramaya and Hirna in eastern Ethiopia using triple lattice design. Fifteen quantitative traits were measured and subjected to analysis of variance and genetic analyses. Analysis of variance revealed that there was highly significant difference among genotypes for all quantitative traits at both locations. The lowest and the highest phenotypic (PCV) and genotypic (GCV) values were obtained for hectoliter weight and number of fertile tillers per plant, respectively at both locations. Heritability in broad sense and genetic advance as percent of mean ranged from 39.1% (number of kernels per spike) to 90.1% (days to heading), and from 2.4% (hectoliter weight) to 48.5% (number of fertile tillers), respectively at Haramaya. At Hirna, these parameters ranged from 29.3% (hectoliter weight) to 91.9% (grain yield), and from 1.5% (hectoliter weight) to 27.6% (total tillers per plant), respectively. high heritability coupled with high genetic advance as percent of mean was observed for total number of tillers per plant, number of fertile tillers per plant, grain yield per hectare, and above ground biomass per hectare at Haramaya. and for spike length, total number of tiller per plant, number of fertile tiller per plant, grain yield per hectare, and above ground biomass per hectare at Hirna. This indicates that improvement of these traits through selection is easier than other traits measured.

Published in	Journal of Plant Sciences (Volume 10, Issue 1)
DOI	10.11648/j.jps.20221001.12
Page(s)	12-18
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), 2022. Published by Science Publishing Group

Keywords

Variability, Genetic Advance, Heritability

References

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APA Style

Almaz Bedada, Bulti Tesso, Ermias Habte. (2022). Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia. Journal of Plant Sciences, 10(1), 12-18. https://doi.org/10.11648/j.jps.20221001.12

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ACS Style

Almaz Bedada; Bulti Tesso; Ermias Habte. Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia. J. Plant Sci. 2022, 10(1), 12-18. doi: 10.11648/j.jps.20221001.12

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AMA Style

Almaz Bedada, Bulti Tesso, Ermias Habte. Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia. J Plant Sci. 2022;10(1):12-18. doi: 10.11648/j.jps.20221001.12

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@article{10.11648/j.jps.20221001.12,
  author = {Almaz Bedada and Bulti Tesso and Ermias Habte},
  title = {Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia},
  journal = {Journal of Plant Sciences},
  volume = {10},
  number = {1},
  pages = {12-18},
  doi = {10.11648/j.jps.20221001.12},
  url = {https://doi.org/10.11648/j.jps.20221001.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20221001.12},
  abstract = {Developing high yielding bread wheat genotypes with superior agronomic trait requires understanding the extent of genetic variability in existing germplasm. The current study was designed to generate information on genetic variability and inheritance of yield and its component traits using 36 advanced bread wheat lines. Field experiment was conducted in 2018 cropping season at Haramaya and Hirna in eastern Ethiopia using triple lattice design. Fifteen quantitative traits were measured and subjected to analysis of variance and genetic analyses. Analysis of variance revealed that there was highly significant difference among genotypes for all quantitative traits at both locations. The lowest and the highest phenotypic (PCV) and genotypic (GCV) values were obtained for hectoliter weight and number of fertile tillers per plant, respectively at both locations. Heritability in broad sense and genetic advance as percent of mean ranged from 39.1% (number of kernels per spike) to 90.1% (days to heading), and from 2.4% (hectoliter weight) to 48.5% (number of fertile tillers), respectively at Haramaya. At Hirna, these parameters ranged from 29.3% (hectoliter weight) to 91.9% (grain yield), and from 1.5% (hectoliter weight) to 27.6% (total tillers per plant), respectively. high heritability coupled with high genetic advance as percent of mean was observed for total number of tillers per plant, number of fertile tillers per plant, grain yield per hectare, and above ground biomass per hectare at Haramaya. and for spike length, total number of tiller per plant, number of fertile tiller per plant, grain yield per hectare, and above ground biomass per hectare at Hirna. This indicates that improvement of these traits through selection is easier than other traits measured.},
 year = {2022}
}

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TY  - JOUR
T1  - Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia
AU  - Almaz Bedada
AU  - Bulti Tesso
AU  - Ermias Habte
Y1  - 2022/01/12
PY  - 2022
N1  - https://doi.org/10.11648/j.jps.20221001.12
DO  - 10.11648/j.jps.20221001.12
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 12
EP  - 18
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20221001.12
AB  - Developing high yielding bread wheat genotypes with superior agronomic trait requires understanding the extent of genetic variability in existing germplasm. The current study was designed to generate information on genetic variability and inheritance of yield and its component traits using 36 advanced bread wheat lines. Field experiment was conducted in 2018 cropping season at Haramaya and Hirna in eastern Ethiopia using triple lattice design. Fifteen quantitative traits were measured and subjected to analysis of variance and genetic analyses. Analysis of variance revealed that there was highly significant difference among genotypes for all quantitative traits at both locations. The lowest and the highest phenotypic (PCV) and genotypic (GCV) values were obtained for hectoliter weight and number of fertile tillers per plant, respectively at both locations. Heritability in broad sense and genetic advance as percent of mean ranged from 39.1% (number of kernels per spike) to 90.1% (days to heading), and from 2.4% (hectoliter weight) to 48.5% (number of fertile tillers), respectively at Haramaya. At Hirna, these parameters ranged from 29.3% (hectoliter weight) to 91.9% (grain yield), and from 1.5% (hectoliter weight) to 27.6% (total tillers per plant), respectively. high heritability coupled with high genetic advance as percent of mean was observed for total number of tillers per plant, number of fertile tillers per plant, grain yield per hectare, and above ground biomass per hectare at Haramaya. and for spike length, total number of tiller per plant, number of fertile tiller per plant, grain yield per hectare, and above ground biomass per hectare at Hirna. This indicates that improvement of these traits through selection is easier than other traits measured.
VL  - 10
IS  - 1
ER  -

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Author Information

Almaz Bedada

Plant Science Department, School of Agriculture, Ambo University, Ambo, Ethiopia
Bulti Tesso

Plant Science Department, College of Agricultural and Environmental Science, Haramaya University, Dire Dewa, Ethiopia
Ermias Habte

International Livestock Research Institute, Addis Ababa, Ethiopia

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APA Style

Almaz Bedada, Bulti Tesso, Ermias Habte. (2022). Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia. Journal of Plant Sciences, 10(1), 12-18. https://doi.org/10.11648/j.jps.20221001.12

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ACS Style

Almaz Bedada; Bulti Tesso; Ermias Habte. Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia. J. Plant Sci. 2022, 10(1), 12-18. doi: 10.11648/j.jps.20221001.12

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AMA Style

Almaz Bedada, Bulti Tesso, Ermias Habte. Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia. J Plant Sci. 2022;10(1):12-18. doi: 10.11648/j.jps.20221001.12

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@article{10.11648/j.jps.20221001.12,
  author = {Almaz Bedada and Bulti Tesso and Ermias Habte},
  title = {Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia},
  journal = {Journal of Plant Sciences},
  volume = {10},
  number = {1},
  pages = {12-18},
  doi = {10.11648/j.jps.20221001.12},
  url = {https://doi.org/10.11648/j.jps.20221001.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20221001.12},
  abstract = {Developing high yielding bread wheat genotypes with superior agronomic trait requires understanding the extent of genetic variability in existing germplasm. The current study was designed to generate information on genetic variability and inheritance of yield and its component traits using 36 advanced bread wheat lines. Field experiment was conducted in 2018 cropping season at Haramaya and Hirna in eastern Ethiopia using triple lattice design. Fifteen quantitative traits were measured and subjected to analysis of variance and genetic analyses. Analysis of variance revealed that there was highly significant difference among genotypes for all quantitative traits at both locations. The lowest and the highest phenotypic (PCV) and genotypic (GCV) values were obtained for hectoliter weight and number of fertile tillers per plant, respectively at both locations. Heritability in broad sense and genetic advance as percent of mean ranged from 39.1% (number of kernels per spike) to 90.1% (days to heading), and from 2.4% (hectoliter weight) to 48.5% (number of fertile tillers), respectively at Haramaya. At Hirna, these parameters ranged from 29.3% (hectoliter weight) to 91.9% (grain yield), and from 1.5% (hectoliter weight) to 27.6% (total tillers per plant), respectively. high heritability coupled with high genetic advance as percent of mean was observed for total number of tillers per plant, number of fertile tillers per plant, grain yield per hectare, and above ground biomass per hectare at Haramaya. and for spike length, total number of tiller per plant, number of fertile tiller per plant, grain yield per hectare, and above ground biomass per hectare at Hirna. This indicates that improvement of these traits through selection is easier than other traits measured.},
 year = {2022}
}

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TY  - JOUR
T1  - Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia
AU  - Almaz Bedada
AU  - Bulti Tesso
AU  - Ermias Habte
Y1  - 2022/01/12
PY  - 2022
N1  - https://doi.org/10.11648/j.jps.20221001.12
DO  - 10.11648/j.jps.20221001.12
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 12
EP  - 18
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20221001.12
AB  - Developing high yielding bread wheat genotypes with superior agronomic trait requires understanding the extent of genetic variability in existing germplasm. The current study was designed to generate information on genetic variability and inheritance of yield and its component traits using 36 advanced bread wheat lines. Field experiment was conducted in 2018 cropping season at Haramaya and Hirna in eastern Ethiopia using triple lattice design. Fifteen quantitative traits were measured and subjected to analysis of variance and genetic analyses. Analysis of variance revealed that there was highly significant difference among genotypes for all quantitative traits at both locations. The lowest and the highest phenotypic (PCV) and genotypic (GCV) values were obtained for hectoliter weight and number of fertile tillers per plant, respectively at both locations. Heritability in broad sense and genetic advance as percent of mean ranged from 39.1% (number of kernels per spike) to 90.1% (days to heading), and from 2.4% (hectoliter weight) to 48.5% (number of fertile tillers), respectively at Haramaya. At Hirna, these parameters ranged from 29.3% (hectoliter weight) to 91.9% (grain yield), and from 1.5% (hectoliter weight) to 27.6% (total tillers per plant), respectively. high heritability coupled with high genetic advance as percent of mean was observed for total number of tillers per plant, number of fertile tillers per plant, grain yield per hectare, and above ground biomass per hectare at Haramaya. and for spike length, total number of tiller per plant, number of fertile tiller per plant, grain yield per hectare, and above ground biomass per hectare at Hirna. This indicates that improvement of these traits through selection is easier than other traits measured.
VL  - 10
IS  - 1
ER  -

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