Genetic Variability and Association Among Yield and Yield Related Traits of Bread Wheat (<i>Triticum aestivum L</i>.) Genotypes at Adet Research Station, Ethiopia

Talef Yeshitla; Ahadu Menzir; Mulatu Kassaye

doi:doi:10.11648/j.ijbbmb.20220701.16

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Genetic Variability and Association Among Yield and Yield Related Traits of Bread Wheat (Triticum aestivum L.) Genotypes at Adet Research Station, Ethiopia

Talef Yeshitla, Ahadu Menzir, Mulatu Kassaye

Published in International Journal of Biochemistry, Biophysics & Molecular Biology (Volume 7, Issue 1)

Received: 11 May 2022 Accepted: 13 June 2022 Published: 29 June 2022

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Abstract

Wheat is one of the most important cereal crops grown in Ethiopia. Study of genetic variation provides the basis for increasing yield and successful breeding programme. So far, little information is generated about genetic variability of yield and yield component traits in the exotic bread wheat germplasm in Ethiopia. Therefore this study was conducted to evaluate the extent of genetic variability and association among yield and yield related traits of bread wheat genotypes. The study was carried out with the following objectives; to assess the nature and magnitude of genetic diversity for yield and yield related traits and to estimate the genotypic and phenotypic association and path coefficient analysis of yield and yield related traits. To achieve the above objectives; total of sixty-four bread wheat (Triticum aestivum L.) genotypes were evaluated at Adet Agricultural Research Centre in 2018/2019 cropping season. The experiment was conducted by using 8x8 simple lattice design. Data were subjected to analysis of variance which revealed that there was highly significant difference (p≤0.01) among the genotypes for all characters studied. The highest grain yield (6.42t ha^-1) was recorded from G50 followed by G4 (6.4 t ha^-1) and G8 (6.4t ha^-1) while low yield of 2.83 t ha^-1) was obtained from genotype G42. Phenotypic coefficient of variation ranged from 1.75 for starch content to 17.85% for number of effective tillers per plant whereas genotypic coefficient of variation ranged from 1.65 for starch content to 14.48% for number of total tillers per plant. Very high heritability (≥80%) was estimated for grain yield, plant height, number of kernels per spike, number of spikelets per spike and starch content. Very high heritability (≥80%) coupled with high genetic advance as percent of mean (≥20%) values were scored for number of spikelet per spike, number of kernels per spike and grain yield. Grain yield had positive and highly significant (P≤0.01) correlation with biomass yield, harvest index, plant height, number of spikelets per spike and number of kernels per spike at both genotypic and phenotypic levels. However, grain yield with grain protein content showed negative and significant (P≤0.05) correlation at both genotypic and phenotypic levels. Path coefficient analysis at genotypic level revealed that biomass yield exerted highest positive direct effect on grain yield followed by harvest index. Whereas path analysis at phenotypic level revealed that biomass yield exerted highest direct effect on grain yield followed by harvest index, and number of spikelet’s per spike.

Published in	International Journal of Biochemistry, Biophysics & Molecular Biology (Volume 7, Issue 1)
DOI	10.11648/j.ijbbmb.20220701.16
Page(s)	32-41
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

Correlation, Genetic Advance, Heritability, Path Coefficient and Variability

References

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Talef Yeshitla, Ahadu Menzir, Mulatu Kassaye. (2022). Genetic Variability and Association Among Yield and Yield Related Traits of Bread Wheat (Triticum aestivum L.) Genotypes at Adet Research Station, Ethiopia. International Journal of Biochemistry, Biophysics & Molecular Biology, 7(1), 32-41. https://doi.org/10.11648/j.ijbbmb.20220701.16

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ACS Style

Talef Yeshitla; Ahadu Menzir; Mulatu Kassaye. Genetic Variability and Association Among Yield and Yield Related Traits of Bread Wheat (Triticum aestivum L.) Genotypes at Adet Research Station, Ethiopia. Int. J. Biochem. Biophys. Mol. Biol. 2022, 7(1), 32-41. doi: 10.11648/j.ijbbmb.20220701.16

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AMA Style

Talef Yeshitla, Ahadu Menzir, Mulatu Kassaye. Genetic Variability and Association Among Yield and Yield Related Traits of Bread Wheat (Triticum aestivum L.) Genotypes at Adet Research Station, Ethiopia. Int J Biochem Biophys Mol Biol. 2022;7(1):32-41. doi: 10.11648/j.ijbbmb.20220701.16

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@article{10.11648/j.ijbbmb.20220701.16,
  author = {Talef Yeshitla and Ahadu Menzir and Mulatu Kassaye},
  title = {Genetic Variability and Association Among Yield and Yield Related Traits of Bread Wheat (Triticum aestivum L.) Genotypes at Adet Research Station, Ethiopia},
  journal = {International Journal of Biochemistry, Biophysics & Molecular Biology},
  volume = {7},
  number = {1},
  pages = {32-41},
  doi = {10.11648/j.ijbbmb.20220701.16},
  url = {https://doi.org/10.11648/j.ijbbmb.20220701.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbbmb.20220701.16},
  abstract = {Wheat is one of the most important cereal crops grown in Ethiopia. Study of genetic variation provides the basis for increasing yield and successful breeding programme. So far, little information is generated about genetic variability of yield and yield component traits in the exotic bread wheat germplasm in Ethiopia. Therefore this study was conducted to evaluate the extent of genetic variability and association among yield and yield related traits of bread wheat genotypes. The study was carried out with the following objectives; to assess the nature and magnitude of genetic diversity for yield and yield related traits and to estimate the genotypic and phenotypic association and path coefficient analysis of yield and yield related traits. To achieve the above objectives; total of sixty-four bread wheat (Triticum aestivum L.) genotypes were evaluated at Adet Agricultural Research Centre in 2018/2019 cropping season. The experiment was conducted by using 8x8 simple lattice design. Data were subjected to analysis of variance which revealed that there was highly significant difference (p≤0.01) among the genotypes for all characters studied. The highest grain yield (6.42t ha-1) was recorded from G50 followed by G4 (6.4 t ha-1) and G8 (6.4t ha-1) while low yield of 2.83 t ha-1) was obtained from genotype G42. Phenotypic coefficient of variation ranged from 1.75 for starch content to 17.85% for number of effective tillers per plant whereas genotypic coefficient of variation ranged from 1.65 for starch content to 14.48% for number of total tillers per plant. Very high heritability (≥80%) was estimated for grain yield, plant height, number of kernels per spike, number of spikelets per spike and starch content. Very high heritability (≥80%) coupled with high genetic advance as percent of mean (≥20%) values were scored for number of spikelet per spike, number of kernels per spike and grain yield. Grain yield had positive and highly significant (P≤0.01) correlation with biomass yield, harvest index, plant height, number of spikelets per spike and number of kernels per spike at both genotypic and phenotypic levels. However, grain yield with grain protein content showed negative and significant (P≤0.05) correlation at both genotypic and phenotypic levels. Path coefficient analysis at genotypic level revealed that biomass yield exerted highest positive direct effect on grain yield followed by harvest index. Whereas path analysis at phenotypic level revealed that biomass yield exerted highest direct effect on grain yield followed by harvest index, and number of spikelet’s per spike.},
 year = {2022}
}

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TY  - JOUR
T1  - Genetic Variability and Association Among Yield and Yield Related Traits of Bread Wheat (Triticum aestivum L.) Genotypes at Adet Research Station, Ethiopia
AU  - Talef Yeshitla
AU  - Ahadu Menzir
AU  - Mulatu Kassaye
Y1  - 2022/06/29
PY  - 2022
N1  - https://doi.org/10.11648/j.ijbbmb.20220701.16
DO  - 10.11648/j.ijbbmb.20220701.16
T2  - International Journal of Biochemistry, Biophysics & Molecular Biology
JF  - International Journal of Biochemistry, Biophysics & Molecular Biology
JO  - International Journal of Biochemistry, Biophysics & Molecular Biology
SP  - 32
EP  - 41
PB  - Science Publishing Group
SN  - 2575-5862
UR  - https://doi.org/10.11648/j.ijbbmb.20220701.16
AB  - Wheat is one of the most important cereal crops grown in Ethiopia. Study of genetic variation provides the basis for increasing yield and successful breeding programme. So far, little information is generated about genetic variability of yield and yield component traits in the exotic bread wheat germplasm in Ethiopia. Therefore this study was conducted to evaluate the extent of genetic variability and association among yield and yield related traits of bread wheat genotypes. The study was carried out with the following objectives; to assess the nature and magnitude of genetic diversity for yield and yield related traits and to estimate the genotypic and phenotypic association and path coefficient analysis of yield and yield related traits. To achieve the above objectives; total of sixty-four bread wheat (Triticum aestivum L.) genotypes were evaluated at Adet Agricultural Research Centre in 2018/2019 cropping season. The experiment was conducted by using 8x8 simple lattice design. Data were subjected to analysis of variance which revealed that there was highly significant difference (p≤0.01) among the genotypes for all characters studied. The highest grain yield (6.42t ha-1) was recorded from G50 followed by G4 (6.4 t ha-1) and G8 (6.4t ha-1) while low yield of 2.83 t ha-1) was obtained from genotype G42. Phenotypic coefficient of variation ranged from 1.75 for starch content to 17.85% for number of effective tillers per plant whereas genotypic coefficient of variation ranged from 1.65 for starch content to 14.48% for number of total tillers per plant. Very high heritability (≥80%) was estimated for grain yield, plant height, number of kernels per spike, number of spikelets per spike and starch content. Very high heritability (≥80%) coupled with high genetic advance as percent of mean (≥20%) values were scored for number of spikelet per spike, number of kernels per spike and grain yield. Grain yield had positive and highly significant (P≤0.01) correlation with biomass yield, harvest index, plant height, number of spikelets per spike and number of kernels per spike at both genotypic and phenotypic levels. However, grain yield with grain protein content showed negative and significant (P≤0.05) correlation at both genotypic and phenotypic levels. Path coefficient analysis at genotypic level revealed that biomass yield exerted highest positive direct effect on grain yield followed by harvest index. Whereas path analysis at phenotypic level revealed that biomass yield exerted highest direct effect on grain yield followed by harvest index, and number of spikelet’s per spike.
VL  - 7
IS  - 1
ER  -

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Author Information

Talef Yeshitla

Department of Plant Science, College of Agriculture, Hawasa University, Hawasa Ethiopia
Ahadu Menzir

College of Agriculture and Natural Resource, Debre Markos University, Debre Markos, Ethiopia
Mulatu Kassaye

College of Agriculture and Natural Resource, Debre Markos University, Debre Markos, Ethiopia

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Talef Yeshitla, Ahadu Menzir, Mulatu Kassaye. (2022). Genetic Variability and Association Among Yield and Yield Related Traits of Bread Wheat (Triticum aestivum L.) Genotypes at Adet Research Station, Ethiopia. International Journal of Biochemistry, Biophysics & Molecular Biology, 7(1), 32-41. https://doi.org/10.11648/j.ijbbmb.20220701.16

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ACS Style

Talef Yeshitla; Ahadu Menzir; Mulatu Kassaye. Genetic Variability and Association Among Yield and Yield Related Traits of Bread Wheat (Triticum aestivum L.) Genotypes at Adet Research Station, Ethiopia. Int. J. Biochem. Biophys. Mol. Biol. 2022, 7(1), 32-41. doi: 10.11648/j.ijbbmb.20220701.16

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AMA Style

Talef Yeshitla, Ahadu Menzir, Mulatu Kassaye. Genetic Variability and Association Among Yield and Yield Related Traits of Bread Wheat (Triticum aestivum L.) Genotypes at Adet Research Station, Ethiopia. Int J Biochem Biophys Mol Biol. 2022;7(1):32-41. doi: 10.11648/j.ijbbmb.20220701.16

Copy | Download

@article{10.11648/j.ijbbmb.20220701.16,
  author = {Talef Yeshitla and Ahadu Menzir and Mulatu Kassaye},
  title = {Genetic Variability and Association Among Yield and Yield Related Traits of Bread Wheat (Triticum aestivum L.) Genotypes at Adet Research Station, Ethiopia},
  journal = {International Journal of Biochemistry, Biophysics & Molecular Biology},
  volume = {7},
  number = {1},
  pages = {32-41},
  doi = {10.11648/j.ijbbmb.20220701.16},
  url = {https://doi.org/10.11648/j.ijbbmb.20220701.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbbmb.20220701.16},
  abstract = {Wheat is one of the most important cereal crops grown in Ethiopia. Study of genetic variation provides the basis for increasing yield and successful breeding programme. So far, little information is generated about genetic variability of yield and yield component traits in the exotic bread wheat germplasm in Ethiopia. Therefore this study was conducted to evaluate the extent of genetic variability and association among yield and yield related traits of bread wheat genotypes. The study was carried out with the following objectives; to assess the nature and magnitude of genetic diversity for yield and yield related traits and to estimate the genotypic and phenotypic association and path coefficient analysis of yield and yield related traits. To achieve the above objectives; total of sixty-four bread wheat (Triticum aestivum L.) genotypes were evaluated at Adet Agricultural Research Centre in 2018/2019 cropping season. The experiment was conducted by using 8x8 simple lattice design. Data were subjected to analysis of variance which revealed that there was highly significant difference (p≤0.01) among the genotypes for all characters studied. The highest grain yield (6.42t ha-1) was recorded from G50 followed by G4 (6.4 t ha-1) and G8 (6.4t ha-1) while low yield of 2.83 t ha-1) was obtained from genotype G42. Phenotypic coefficient of variation ranged from 1.75 for starch content to 17.85% for number of effective tillers per plant whereas genotypic coefficient of variation ranged from 1.65 for starch content to 14.48% for number of total tillers per plant. Very high heritability (≥80%) was estimated for grain yield, plant height, number of kernels per spike, number of spikelets per spike and starch content. Very high heritability (≥80%) coupled with high genetic advance as percent of mean (≥20%) values were scored for number of spikelet per spike, number of kernels per spike and grain yield. Grain yield had positive and highly significant (P≤0.01) correlation with biomass yield, harvest index, plant height, number of spikelets per spike and number of kernels per spike at both genotypic and phenotypic levels. However, grain yield with grain protein content showed negative and significant (P≤0.05) correlation at both genotypic and phenotypic levels. Path coefficient analysis at genotypic level revealed that biomass yield exerted highest positive direct effect on grain yield followed by harvest index. Whereas path analysis at phenotypic level revealed that biomass yield exerted highest direct effect on grain yield followed by harvest index, and number of spikelet’s per spike.},
 year = {2022}
}

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TY  - JOUR
T1  - Genetic Variability and Association Among Yield and Yield Related Traits of Bread Wheat (Triticum aestivum L.) Genotypes at Adet Research Station, Ethiopia
AU  - Talef Yeshitla
AU  - Ahadu Menzir
AU  - Mulatu Kassaye
Y1  - 2022/06/29
PY  - 2022
N1  - https://doi.org/10.11648/j.ijbbmb.20220701.16
DO  - 10.11648/j.ijbbmb.20220701.16
T2  - International Journal of Biochemistry, Biophysics & Molecular Biology
JF  - International Journal of Biochemistry, Biophysics & Molecular Biology
JO  - International Journal of Biochemistry, Biophysics & Molecular Biology
SP  - 32
EP  - 41
PB  - Science Publishing Group
SN  - 2575-5862
UR  - https://doi.org/10.11648/j.ijbbmb.20220701.16
AB  - Wheat is one of the most important cereal crops grown in Ethiopia. Study of genetic variation provides the basis for increasing yield and successful breeding programme. So far, little information is generated about genetic variability of yield and yield component traits in the exotic bread wheat germplasm in Ethiopia. Therefore this study was conducted to evaluate the extent of genetic variability and association among yield and yield related traits of bread wheat genotypes. The study was carried out with the following objectives; to assess the nature and magnitude of genetic diversity for yield and yield related traits and to estimate the genotypic and phenotypic association and path coefficient analysis of yield and yield related traits. To achieve the above objectives; total of sixty-four bread wheat (Triticum aestivum L.) genotypes were evaluated at Adet Agricultural Research Centre in 2018/2019 cropping season. The experiment was conducted by using 8x8 simple lattice design. Data were subjected to analysis of variance which revealed that there was highly significant difference (p≤0.01) among the genotypes for all characters studied. The highest grain yield (6.42t ha-1) was recorded from G50 followed by G4 (6.4 t ha-1) and G8 (6.4t ha-1) while low yield of 2.83 t ha-1) was obtained from genotype G42. Phenotypic coefficient of variation ranged from 1.75 for starch content to 17.85% for number of effective tillers per plant whereas genotypic coefficient of variation ranged from 1.65 for starch content to 14.48% for number of total tillers per plant. Very high heritability (≥80%) was estimated for grain yield, plant height, number of kernels per spike, number of spikelets per spike and starch content. Very high heritability (≥80%) coupled with high genetic advance as percent of mean (≥20%) values were scored for number of spikelet per spike, number of kernels per spike and grain yield. Grain yield had positive and highly significant (P≤0.01) correlation with biomass yield, harvest index, plant height, number of spikelets per spike and number of kernels per spike at both genotypic and phenotypic levels. However, grain yield with grain protein content showed negative and significant (P≤0.05) correlation at both genotypic and phenotypic levels. Path coefficient analysis at genotypic level revealed that biomass yield exerted highest positive direct effect on grain yield followed by harvest index. Whereas path analysis at phenotypic level revealed that biomass yield exerted highest direct effect on grain yield followed by harvest index, and number of spikelet’s per spike.
VL  - 7
IS  - 1
ER  -

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