Effect of Genotype by Environment Interaction on Bread Wheat (<i>Triticum aestivum </i>L.) Genotypes in Midland of Guji Zone, Southern Ethiopia

Aliyi Kedir; Seyoum Alemu; Yared Tesfaye; Kabna Asefa; Girma Teshome

doi:doi:10.11648/j.be.20220602.12

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Effect of Genotype by Environment Interaction on Bread Wheat (Triticum aestivum L.) Genotypes in Midland of Guji Zone, Southern Ethiopia

Aliyi Kedir, Seyoum Alemu, Yared Tesfaye, Kabna Asefa, Girma Teshome

Published in Bioprocess Engineering (Volume 6, Issue 2)

Received: 12 June 2022 Accepted: 5 July 2022 Published: 13 July 2022

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Abstract

Today, wheat is among the most important crops grown in Ethiopia, both as a source of food for consumers and as a source of income for farmers. Since Ethiopia is known for its diverse agro-ecology the performance of genotypes varies within and across environments and genotypes respond differently to different environments. Therefore, studies on Genotype by Environment (GxE) interaction help to determine whether or not a genotype is stable in performance over a range of environments. Therefore, this study was conducted to identify the best stable bread wheat genotype for midland areas of Guji Zone and analysis of the environment by GGE-biplot. In this experiment, 19 bread wheat genotypes were evaluated using RCBD with three replications at six different environments of midland Guji Zone of southern Ethiopia. The combined analysis of variance revealed that, there were highly significant differences among environments and among genotypes (p < 0.001) for grain yield and yield components and for growth parameters except for days to emergence which was non-significant, indicating the presence of variability in genotypes as well as diversity of growing conditions at different locations. The GxE interaction was highly significant (p < 0.001) for all traits except that of thousand seed weight (TSW) which is non-significant GxE interaction. Environments explained 89.89%, genotypes 8.29% and GxE 1.83% of the variability in grin yield. This shows that, the genotypes highly influenced by environment. Wadara 2017 (E3) and Wadara 2018 (E6) was the most biasing environment while Gobicha 2018 (E5) followed by Dufa (2017) was the least discriminating environments. The environment grouped in to two mega environments. E1, E2 and E3 the same group and E4, E5 and E6 are the same group. ETBW8408 (G7) and ETBW8415 (G10) were high grain yield and found as stable, and therefore, recommended for wide adaptation. Again, the advanced ETBW8408 (G7) genotype was verified and released as new variety for wider production. Danda’a (G1) and ETBW8370 (G3) were low yielder and unstable genotypes. Those genotypes gave high grain yield, but unstable may be included in other breeding program, crossing.

Published in	Bioprocess Engineering (Volume 6, Issue 2)
DOI	10.11648/j.be.20220602.12
Page(s)	16-21
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

GGE Bi-plot, Stable, Grain Yield, Bread Wheat, Guji Zone

References

[1]	Aliyi Kedir, Hussein Mohammed and Tesfaye Letta. 2022. GGE biplot analysis of genotype by environment interaction on bread wheat (triticum aestivum l.) genotypes in southern Oromia. Journal of Chemical, Environmental and Biological Engineering, 6 (1): 1-9.
[2]	Becker, H. C. and Léon, J., 1988. Stability analysis in plant breeding. Plant Breeding 101: 1-23.
[3]	Bridges. W. C. 1989. Analysis of plant breeding experiment with heterogeneous.
[4]	Farshadfar, E., & Sutka, J. (2006). Biplot analysis of genotype-environment interaction in durum wheat using the AMMI model. Acta Agronomica Hungarica, 54 (4), 459-467.
[5]	Fiseha Baraki, YemaneTsehaye, and FetienAbay. 2015. AMMI analysis of Genotype x Environment interaction and stability analysis of sesame genotypes in northern Ethiopia. Asian J. Plant Sci, 13 (4-8): 178-183.
[6]	Gadisa Alemu and Hussein Mohammed, (2018). GGE Biplot Analysis of Genotypes by Environment Interaction on Bread Wheat (Triticum aestivum. L) Genotype in Ethiopia, Academic Research Journal of Agricultural Science and Research,. 6 (7), pp. 396-405.
[7]	Gauch HG, Zobel RW (1997) Identifying mega-environments and targeting genotypes. Crop Sci 37: 311-326.
[8]	Kang, M. S., 1998. Using genotype by environment interaction for crop cultivar development. Advances in Agronomy 62: 199-246.
[9]	Kaya, Y., M. Akçura and S. Taner, 2006. GGE-biplot analysis of multi-environment yield trials in bread wheat. Turkish journal of agriculture and forestry, 30 (5): 325-337.
[10]	Magari, R. and Kang, M. S., 1993. Genotype selection via a new yield-stability statistics in maize yield trials. Euphytica 70: 105-111.
[11]	Magari, R., 1989. Stability of some Albanian maize local varieties and hybrids (in Albania). Bull Agric. Sci. 4: 123-129.
[12]	Melkamu T., Sentayehu A., Firdissa E., and Muez M., (2015). Genotype X Environment Interaction and Yield Stability of Bread Wheat Genotypes in South East Ethiopia. World J. Agri Sci. 11 (3): 123.
[13]	Mohamed, N. E. (2013). Genotype by environment interactions for grain yield in bread wheat (Triticum aestivum L.). Journal of Plant Breeding and Crop Science, 7 (5), 150-157.
[14]	Shukla, G. K., (1972). Some statistical aspects of partitioning genotype environmental components of variability. Heredity 29.237-245 pp.
[15]	Yan, W. and Rajcan, I. 2002. Biplot analysis of test sites and trait relations of soybean in Ontario, Crop Science, 42: 11-20.
[16]	Yan, W., Hunt, L. A., Sheng, Q. and Szlavnics, Z. 2000. Cultivar evaluation and mega environment investigation based on GGE bi-plot. Crop Science, 40: 596–605.
[17]	Yan, W., Kang, M. S., Ma, B., Woods, S. and Cornelius, P. L. 2007. GGE Biplot vs. AMMI analysis of genotype by environment data. Crop Science, 47: 643-655.
[18]	Zecevic. V, Knezevic. D, Boskovic. J, Micanovic. D & Dozet. G. 2010. Effect of N fertilization on winter wheat quality. Cereal Res. Commun. 38 (2). 244-250.

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Aliyi Kedir, Seyoum Alemu, Yared Tesfaye, Kabna Asefa, Girma Teshome. (2022). Effect of Genotype by Environment Interaction on Bread Wheat (Triticum aestivum L.) Genotypes in Midland of Guji Zone, Southern Ethiopia. Bioprocess Engineering, 6(2), 16-21. https://doi.org/10.11648/j.be.20220602.12

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Aliyi Kedir; Seyoum Alemu; Yared Tesfaye; Kabna Asefa; Girma Teshome. Effect of Genotype by Environment Interaction on Bread Wheat (Triticum aestivum L.) Genotypes in Midland of Guji Zone, Southern Ethiopia. Bioprocess Eng. 2022, 6(2), 16-21. doi: 10.11648/j.be.20220602.12

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AMA Style

Aliyi Kedir, Seyoum Alemu, Yared Tesfaye, Kabna Asefa, Girma Teshome. Effect of Genotype by Environment Interaction on Bread Wheat (Triticum aestivum L.) Genotypes in Midland of Guji Zone, Southern Ethiopia. Bioprocess Eng. 2022;6(2):16-21. doi: 10.11648/j.be.20220602.12

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@article{10.11648/j.be.20220602.12,
  author = {Aliyi Kedir and Seyoum Alemu and Yared Tesfaye and Kabna Asefa and Girma Teshome},
  title = {Effect of Genotype by Environment Interaction on Bread Wheat (Triticum aestivum L.) Genotypes in Midland of Guji Zone, Southern Ethiopia},
  journal = {Bioprocess Engineering},
  volume = {6},
  number = {2},
  pages = {16-21},
  doi = {10.11648/j.be.20220602.12},
  url = {https://doi.org/10.11648/j.be.20220602.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.be.20220602.12},
  abstract = {Today, wheat is among the most important crops grown in Ethiopia, both as a source of food for consumers and as a source of income for farmers. Since Ethiopia is known for its diverse agro-ecology the performance of genotypes varies within and across environments and genotypes respond differently to different environments. Therefore, studies on Genotype by Environment (GxE) interaction help to determine whether or not a genotype is stable in performance over a range of environments. Therefore, this study was conducted to identify the best stable bread wheat genotype for midland areas of Guji Zone and analysis of the environment by GGE-biplot. In this experiment, 19 bread wheat genotypes were evaluated using RCBD with three replications at six different environments of midland Guji Zone of southern Ethiopia. The combined analysis of variance revealed that, there were highly significant differences among environments and among genotypes (p < 0.001) for grain yield and yield components and for growth parameters except for days to emergence which was non-significant, indicating the presence of variability in genotypes as well as diversity of growing conditions at different locations. The GxE interaction was highly significant (p < 0.001) for all traits except that of thousand seed weight (TSW) which is non-significant GxE interaction. Environments explained 89.89%, genotypes 8.29% and GxE 1.83% of the variability in grin yield. This shows that, the genotypes highly influenced by environment. Wadara 2017 (E3) and Wadara 2018 (E6) was the most biasing environment while Gobicha 2018 (E5) followed by Dufa (2017) was the least discriminating environments. The environment grouped in to two mega environments. E1, E2 and E3 the same group and E4, E5 and E6 are the same group. ETBW8408 (G7) and ETBW8415 (G10) were high grain yield and found as stable, and therefore, recommended for wide adaptation. Again, the advanced ETBW8408 (G7) genotype was verified and released as new variety for wider production. Danda’a (G1) and ETBW8370 (G3) were low yielder and unstable genotypes. Those genotypes gave high grain yield, but unstable may be included in other breeding program, crossing.},
 year = {2022}
}

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TY - JOUR
T1 - Effect of Genotype by Environment Interaction on Bread Wheat (Triticum aestivum L.) Genotypes in Midland of Guji Zone, Southern Ethiopia
AU - Aliyi Kedir
AU - Seyoum Alemu
AU - Yared Tesfaye
AU - Kabna Asefa
AU - Girma Teshome
Y1 - 2022/07/13
PY - 2022
N1 - https://doi.org/10.11648/j.be.20220602.12
DO - 10.11648/j.be.20220602.12
T2 - Bioprocess Engineering
JF - Bioprocess Engineering
JO - Bioprocess Engineering
SP - 16
EP - 21
PB - Science Publishing Group
SN - 2578-8701
UR - https://doi.org/10.11648/j.be.20220602.12
AB - Today, wheat is among the most important crops grown in Ethiopia, both as a source of food for consumers and as a source of income for farmers. Since Ethiopia is known for its diverse agro-ecology the performance of genotypes varies within and across environments and genotypes respond differently to different environments. Therefore, studies on Genotype by Environment (GxE) interaction help to determine whether or not a genotype is stable in performance over a range of environments. Therefore, this study was conducted to identify the best stable bread wheat genotype for midland areas of Guji Zone and analysis of the environment by GGE-biplot. In this experiment, 19 bread wheat genotypes were evaluated using RCBD with three replications at six different environments of midland Guji Zone of southern Ethiopia. The combined analysis of variance revealed that, there were highly significant differences among environments and among genotypes (p < 0.001) for grain yield and yield components and for growth parameters except for days to emergence which was non-significant, indicating the presence of variability in genotypes as well as diversity of growing conditions at different locations. The GxE interaction was highly significant (p < 0.001) for all traits except that of thousand seed weight (TSW) which is non-significant GxE interaction. Environments explained 89.89%, genotypes 8.29% and GxE 1.83% of the variability in grin yield. This shows that, the genotypes highly influenced by environment. Wadara 2017 (E3) and Wadara 2018 (E6) was the most biasing environment while Gobicha 2018 (E5) followed by Dufa (2017) was the least discriminating environments. The environment grouped in to two mega environments. E1, E2 and E3 the same group and E4, E5 and E6 are the same group. ETBW8408 (G7) and ETBW8415 (G10) were high grain yield and found as stable, and therefore, recommended for wide adaptation. Again, the advanced ETBW8408 (G7) genotype was verified and released as new variety for wider production. Danda’a (G1) and ETBW8370 (G3) were low yielder and unstable genotypes. Those genotypes gave high grain yield, but unstable may be included in other breeding program, crossing.
VL - 6
IS - 2
ER -

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Author Information

Aliyi Kedir

Bore Agricultural Research Center, Bore, Ethiopia
Seyoum Alemu

Bore Agricultural Research Center, Bore, Ethiopia
Yared Tesfaye

Bore Agricultural Research Center, Bore, Ethiopia
Kabna Asefa

Bore Agricultural Research Center, Bore, Ethiopia
Girma Teshome

Bore Agricultural Research Center, Bore, Ethiopia

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Plain Text BibTeX RIS

APA Style

Aliyi Kedir, Seyoum Alemu, Yared Tesfaye, Kabna Asefa, Girma Teshome. (2022). Effect of Genotype by Environment Interaction on Bread Wheat (Triticum aestivum L.) Genotypes in Midland of Guji Zone, Southern Ethiopia. Bioprocess Engineering, 6(2), 16-21. https://doi.org/10.11648/j.be.20220602.12

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ACS Style

Aliyi Kedir; Seyoum Alemu; Yared Tesfaye; Kabna Asefa; Girma Teshome. Effect of Genotype by Environment Interaction on Bread Wheat (Triticum aestivum L.) Genotypes in Midland of Guji Zone, Southern Ethiopia. Bioprocess Eng. 2022, 6(2), 16-21. doi: 10.11648/j.be.20220602.12

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AMA Style

Aliyi Kedir, Seyoum Alemu, Yared Tesfaye, Kabna Asefa, Girma Teshome. Effect of Genotype by Environment Interaction on Bread Wheat (Triticum aestivum L.) Genotypes in Midland of Guji Zone, Southern Ethiopia. Bioprocess Eng. 2022;6(2):16-21. doi: 10.11648/j.be.20220602.12

Copy | Download

@article{10.11648/j.be.20220602.12,
  author = {Aliyi Kedir and Seyoum Alemu and Yared Tesfaye and Kabna Asefa and Girma Teshome},
  title = {Effect of Genotype by Environment Interaction on Bread Wheat (Triticum aestivum L.) Genotypes in Midland of Guji Zone, Southern Ethiopia},
  journal = {Bioprocess Engineering},
  volume = {6},
  number = {2},
  pages = {16-21},
  doi = {10.11648/j.be.20220602.12},
  url = {https://doi.org/10.11648/j.be.20220602.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.be.20220602.12},
  abstract = {Today, wheat is among the most important crops grown in Ethiopia, both as a source of food for consumers and as a source of income for farmers. Since Ethiopia is known for its diverse agro-ecology the performance of genotypes varies within and across environments and genotypes respond differently to different environments. Therefore, studies on Genotype by Environment (GxE) interaction help to determine whether or not a genotype is stable in performance over a range of environments. Therefore, this study was conducted to identify the best stable bread wheat genotype for midland areas of Guji Zone and analysis of the environment by GGE-biplot. In this experiment, 19 bread wheat genotypes were evaluated using RCBD with three replications at six different environments of midland Guji Zone of southern Ethiopia. The combined analysis of variance revealed that, there were highly significant differences among environments and among genotypes (p < 0.001) for grain yield and yield components and for growth parameters except for days to emergence which was non-significant, indicating the presence of variability in genotypes as well as diversity of growing conditions at different locations. The GxE interaction was highly significant (p < 0.001) for all traits except that of thousand seed weight (TSW) which is non-significant GxE interaction. Environments explained 89.89%, genotypes 8.29% and GxE 1.83% of the variability in grin yield. This shows that, the genotypes highly influenced by environment. Wadara 2017 (E3) and Wadara 2018 (E6) was the most biasing environment while Gobicha 2018 (E5) followed by Dufa (2017) was the least discriminating environments. The environment grouped in to two mega environments. E1, E2 and E3 the same group and E4, E5 and E6 are the same group. ETBW8408 (G7) and ETBW8415 (G10) were high grain yield and found as stable, and therefore, recommended for wide adaptation. Again, the advanced ETBW8408 (G7) genotype was verified and released as new variety for wider production. Danda’a (G1) and ETBW8370 (G3) were low yielder and unstable genotypes. Those genotypes gave high grain yield, but unstable may be included in other breeding program, crossing.},
 year = {2022}
}

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