@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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