@article{10.11648/j.ijgg.20231104.13,
  author = {Tegegn Belete},
  title = {Evaluation of Food Barley (Hordeum vulgare L.) Varieties at Highlands of Southwestern Part of Ethiopia Using AMMI and GGE Biplot Stability Models},
  journal = {International Journal of Genetics and Genomics},
  volume = {11},
  number = {4},
  pages = {126-132},
  doi = {10.11648/j.ijgg.20231104.13},
  url = {https://doi.org/10.11648/j.ijgg.20231104.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijgg.20231104.13},
  abstract = {A multi location trial was conducted across the highlands of Southwestern (SW) Ethiopia from 2020 to 2022 during main cropping seasons to evaluate grain yield and yield related traits of food barley varieties across the different locations to identify and recommend high yielding and stable food barley varieties to farmers for large scale planting using AMMI and GGE biplot models. A total of eight food barley varieties were obtained from the Sinana Agricultural Research Center (SARC) for use in this study. Varieties were evaluated in three environments, over three growing seasons. The experiments were conducted at Dedo, Yem and Gechi districts of SW part of Ethiopia during the main cropping seasons. The experiment was laid out in RCBD with three replications. The experimental plot for each variety consisted of six rows of 2.5m length and rows were spaced 20cm apart. Spacing between rows, plots and replications 25cm, 30cm and 1m respectively. Data for all relevant agronomic traits were collected, but only plot yield data converted to t/ha was subjected to statistical analysis. The combined ANOVA showed highly significant differences (P<0.001) among E, G and GEI for grain yield. The environmental variance was more accountable (68.2%) to the total variance as compared to the genetic variance (3.16%) and the interaction variance (19.13%) for grain yield. Dedo 2022 was the highest yielding (4.1 t/ha) while Gechi 2022 was the lowest yielding (1.5 t/ha) environment. The mean grain yield of the varieties across eight environments was 3 t/ha. The GGE biplot identified two barley growing mega-environments. The first mega environment consisted of environments E5, E8, E1 with a vertex genotype T4. E6, E4, E3, E2 and E7 were found in the second mega environment with the winning genotype of T8. It was also noted that no mega-environments fell into sectors where genotype T2 and T7 were the vertex genotypes, did not fit in any of the mega-environments. According to both AMMI and GGE biplot analysis, food barley varieties T3, T7 and T5 were found to be benchmarks/ideal genotypes and could be used as checks to evaluate the performance of other genotypes and also can be recommended for wider cultivation in the highland environments of Southwestern Ethiopia.
},
 year = {2023}
}

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TY  - JOUR
T1  - Evaluation of Food Barley (Hordeum vulgare L.) Varieties at Highlands of Southwestern Part of Ethiopia Using AMMI and GGE Biplot Stability Models
AU  - Tegegn Belete
Y1  - 2023/12/08
PY  - 2023
N1  - https://doi.org/10.11648/j.ijgg.20231104.13
DO  - 10.11648/j.ijgg.20231104.13
T2  - International Journal of Genetics and Genomics
JF  - International Journal of Genetics and Genomics
JO  - International Journal of Genetics and Genomics
SP  - 126
EP  - 132
PB  - Science Publishing Group
SN  - 2376-7359
UR  - https://doi.org/10.11648/j.ijgg.20231104.13
AB  - A multi location trial was conducted across the highlands of Southwestern (SW) Ethiopia from 2020 to 2022 during main cropping seasons to evaluate grain yield and yield related traits of food barley varieties across the different locations to identify and recommend high yielding and stable food barley varieties to farmers for large scale planting using AMMI and GGE biplot models. A total of eight food barley varieties were obtained from the Sinana Agricultural Research Center (SARC) for use in this study. Varieties were evaluated in three environments, over three growing seasons. The experiments were conducted at Dedo, Yem and Gechi districts of SW part of Ethiopia during the main cropping seasons. The experiment was laid out in RCBD with three replications. The experimental plot for each variety consisted of six rows of 2.5m length and rows were spaced 20cm apart. Spacing between rows, plots and replications 25cm, 30cm and 1m respectively. Data for all relevant agronomic traits were collected, but only plot yield data converted to t/ha was subjected to statistical analysis. The combined ANOVA showed highly significant differences (P<0.001) among E, G and GEI for grain yield. The environmental variance was more accountable (68.2%) to the total variance as compared to the genetic variance (3.16%) and the interaction variance (19.13%) for grain yield. Dedo 2022 was the highest yielding (4.1 t/ha) while Gechi 2022 was the lowest yielding (1.5 t/ha) environment. The mean grain yield of the varieties across eight environments was 3 t/ha. The GGE biplot identified two barley growing mega-environments. The first mega environment consisted of environments E5, E8, E1 with a vertex genotype T4. E6, E4, E3, E2 and E7 were found in the second mega environment with the winning genotype of T8. It was also noted that no mega-environments fell into sectors where genotype T2 and T7 were the vertex genotypes, did not fit in any of the mega-environments. According to both AMMI and GGE biplot analysis, food barley varieties T3, T7 and T5 were found to be benchmarks/ideal genotypes and could be used as checks to evaluate the performance of other genotypes and also can be recommended for wider cultivation in the highland environments of Southwestern Ethiopia.

VL  - 11
IS  - 4
ER  - 

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