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GGE Biplot Stability Analysis of Seed Yield in Teff (Eragrostis tef (zucc.) Varieties in South West Ethiopia

Received: 12 November 2020     Accepted: 30 November 2020     Published: 28 December 2020
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Abstract

Tef (Eragrostis tef (zucc.) is one of the major cereal crop grown in Ethiopia where it is staple food for about 50 million people. Among many factors contributed to low production and productivity of tef lack of widely adopted improved tef variety is one of the factors. The experiment was conducted in south western Ethiopia across six test locations during the 2019 cropping seasons to study the nature of GEI on grain yield of tef and to classify environments based on the performance of genotypes. A total of seven tef varieties were laid out randomized complete block design with three replicates at each site. The Analysis of variance revealed highly significant difference for environment, genotype and genotype by environment interaction (p<0.001). Large proportion of the variation was explained by the environmental effect (69.22%) followed by the GEI effect (20.19%) and genotypes (7.5%) of the overall variation. GGE biplot analysis showed that PC1 and PC2 accounted for 42.37% and 30.42% of GGE sum of squares, respectively, explained 72.79% of the total variance. The six locations were divided in to three mega environments G28, G22 and G25 being the best varieties in each of the mega environments. However, G28 had the highest stability out of these three varieties. E6, E5 and E3 were ideal environments or the most suitable taste location for Teff breeding in the region, while E4 followed by E1 and E2 is a less desirable as testing environment.

Published in Advances in Biochemistry (Volume 8, Issue 4)
DOI 10.11648/j.ab.20200804.12
Page(s) 62-67
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), 2020. Published by Science Publishing Group

Keywords

Biplots Analysis, Genotype by Environment Interaction, GGE, Grain Yield, Stability, Tef

References
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Cite This Article
  • APA Style

    Afework Legesse, Tegegn Belete. (2020). GGE Biplot Stability Analysis of Seed Yield in Teff (Eragrostis tef (zucc.) Varieties in South West Ethiopia. Advances in Biochemistry, 8(4), 62-67. https://doi.org/10.11648/j.ab.20200804.12

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    ACS Style

    Afework Legesse; Tegegn Belete. GGE Biplot Stability Analysis of Seed Yield in Teff (Eragrostis tef (zucc.) Varieties in South West Ethiopia. Adv. Biochem. 2020, 8(4), 62-67. doi: 10.11648/j.ab.20200804.12

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    AMA Style

    Afework Legesse, Tegegn Belete. GGE Biplot Stability Analysis of Seed Yield in Teff (Eragrostis tef (zucc.) Varieties in South West Ethiopia. Adv Biochem. 2020;8(4):62-67. doi: 10.11648/j.ab.20200804.12

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  • @article{10.11648/j.ab.20200804.12,
      author = {Afework Legesse and Tegegn Belete},
      title = {GGE Biplot Stability Analysis of Seed Yield in Teff (Eragrostis tef (zucc.) Varieties in South West Ethiopia},
      journal = {Advances in Biochemistry},
      volume = {8},
      number = {4},
      pages = {62-67},
      doi = {10.11648/j.ab.20200804.12},
      url = {https://doi.org/10.11648/j.ab.20200804.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ab.20200804.12},
      abstract = {Tef (Eragrostis tef (zucc.) is one of the major cereal crop grown in Ethiopia where it is staple food for about 50 million people. Among many factors contributed to low production and productivity of tef lack of widely adopted improved tef variety is one of the factors. The experiment was conducted in south western Ethiopia across six test locations during the 2019 cropping seasons to study the nature of GEI on grain yield of tef and to classify environments based on the performance of genotypes. A total of seven tef varieties were laid out randomized complete block design with three replicates at each site. The Analysis of variance revealed highly significant difference for environment, genotype and genotype by environment interaction (p<0.001). Large proportion of the variation was explained by the environmental effect (69.22%) followed by the GEI effect (20.19%) and genotypes (7.5%) of the overall variation. GGE biplot analysis showed that PC1 and PC2 accounted for 42.37% and 30.42% of GGE sum of squares, respectively, explained 72.79% of the total variance. The six locations were divided in to three mega environments G28, G22 and G25 being the best varieties in each of the mega environments. However, G28 had the highest stability out of these three varieties. E6, E5 and E3 were ideal environments or the most suitable taste location for Teff breeding in the region, while E4 followed by E1 and E2 is a less desirable as testing environment.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - GGE Biplot Stability Analysis of Seed Yield in Teff (Eragrostis tef (zucc.) Varieties in South West Ethiopia
    AU  - Afework Legesse
    AU  - Tegegn Belete
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    DO  - 10.11648/j.ab.20200804.12
    T2  - Advances in Biochemistry
    JF  - Advances in Biochemistry
    JO  - Advances in Biochemistry
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    PB  - Science Publishing Group
    SN  - 2329-0862
    UR  - https://doi.org/10.11648/j.ab.20200804.12
    AB  - Tef (Eragrostis tef (zucc.) is one of the major cereal crop grown in Ethiopia where it is staple food for about 50 million people. Among many factors contributed to low production and productivity of tef lack of widely adopted improved tef variety is one of the factors. The experiment was conducted in south western Ethiopia across six test locations during the 2019 cropping seasons to study the nature of GEI on grain yield of tef and to classify environments based on the performance of genotypes. A total of seven tef varieties were laid out randomized complete block design with three replicates at each site. The Analysis of variance revealed highly significant difference for environment, genotype and genotype by environment interaction (p<0.001). Large proportion of the variation was explained by the environmental effect (69.22%) followed by the GEI effect (20.19%) and genotypes (7.5%) of the overall variation. GGE biplot analysis showed that PC1 and PC2 accounted for 42.37% and 30.42% of GGE sum of squares, respectively, explained 72.79% of the total variance. The six locations were divided in to three mega environments G28, G22 and G25 being the best varieties in each of the mega environments. However, G28 had the highest stability out of these three varieties. E6, E5 and E3 were ideal environments or the most suitable taste location for Teff breeding in the region, while E4 followed by E1 and E2 is a less desirable as testing environment.
    VL  - 8
    IS  - 4
    ER  - 

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Author Information
  • Ethiopian Institute of Agricultural Research, Jimma Agriculture Research Center, Jimma, Ethiopia

  • Ethiopian Institute of Agricultural Research, Jimma Agriculture Research Center, Jimma, Ethiopia

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