Identification of Stable Faba Bean (<i>Vicia faba </i>L.) Genotypes for Seed Yield in Ethiopia Using GGE Model

Gebeyaw Achenef Haile; Gizachew Yilma Kebede

doi:doi:10.11648/j.jps.20210904.15

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Identification of Stable Faba Bean (Vicia faba L.) Genotypes for Seed Yield in Ethiopia Using GGE Model

Gebeyaw Achenef Haile, Gizachew Yilma Kebede

Published in Journal of Plant Sciences (Volume 9, Issue 4)

Received: 3 August 2021 Accepted: 16 August 2021 Published: 24 August 2021

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Abstract

Among various pulse crops, Faba bean is widely produced in Ethiopia. The crop is usually adaptable in mid and high altitude area (1800-3000 m.a.s.l.). The applications of GGE biplot ease the graphic comparison and identification of higher genotypes for supporting decision on variety selection and recommendation in different locations. Twelve advanced faba bean genotypes were conducted in 2019 across seven locations in Ethiopia using randomized complete block design with four replications. The aim of this study were to evaluate faba bean genotypes for high mean yield and identify stable varieties across locations, select ideal environment in order to design effective breeding strategy through clustering mega environments. The IPC₁ and IPC₂ together explained 58.14% of the total G X E interaction. The line transient through the biplot origin and vertical to the E1 axis splits genotypes that yielded below the mean or in the left hand side (G7, G9, G10, G2, and G1) and genotypes that yielded above the mean were all other genotypes found in the right hand side. The AEC vertical axis designated yield stability measure of genotypes. The smaller the length of the line perpendicular to the horizontal AEC axis at E1 (Assasa) indicated the more stable the genotype and vice versa. G2 and G4 were the best stable genotypes, whereas G12 and G7 were the most unstable genotypes relative to other genotypes. The test locations with longest vectors from biplot origin are more selective of the genotypes hence, E3, E1 and E2 considered more discriminating environments for the testing genotypes and least representative due to large deviation from AEC. According to the center of the concentric circles G8, represents the position of perfect genotype. The polygon view of GGE biplot identified two mega environments E1 (Assasa) and E2 (Kulumsa) as one mega environment and G11 (EH 09046-3) was the vertex genotype. The second mega environment comprises E3 (Bekoji), E4 (Kofele), E5 (Adet), E6 (Debark) and E7 (Holetta) and G12 (Tumsa) was the winning genotype for these environments. This designated there is no genotypes showed superior performance across all environments.

Published in	Journal of Plant Sciences (Volume 9, Issue 4)
DOI	10.11648/j.jps.20210904.15
Page(s)	163-169
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), 2021. Published by Science Publishing Group

Keywords

Average Environment Coordinate (AEC), GGE Biplot, G x E interaction, Mega-environment, Stability

References

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APA Style

Gebeyaw Achenef Haile, Gizachew Yilma Kebede. (2021). Identification of Stable Faba Bean (Vicia faba L.) Genotypes for Seed Yield in Ethiopia Using GGE Model. Journal of Plant Sciences, 9(4), 163-169. https://doi.org/10.11648/j.jps.20210904.15

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ACS Style

Gebeyaw Achenef Haile; Gizachew Yilma Kebede. Identification of Stable Faba Bean (Vicia faba L.) Genotypes for Seed Yield in Ethiopia Using GGE Model. J. Plant Sci. 2021, 9(4), 163-169. doi: 10.11648/j.jps.20210904.15

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AMA Style

Gebeyaw Achenef Haile, Gizachew Yilma Kebede. Identification of Stable Faba Bean (Vicia faba L.) Genotypes for Seed Yield in Ethiopia Using GGE Model. J Plant Sci. 2021;9(4):163-169. doi: 10.11648/j.jps.20210904.15

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@article{10.11648/j.jps.20210904.15,
  author = {Gebeyaw Achenef Haile and Gizachew Yilma Kebede},
  title = {Identification of Stable Faba Bean (Vicia faba L.) Genotypes for Seed Yield in Ethiopia Using GGE Model},
  journal = {Journal of Plant Sciences},
  volume = {9},
  number = {4},
  pages = {163-169},
  doi = {10.11648/j.jps.20210904.15},
  url = {https://doi.org/10.11648/j.jps.20210904.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20210904.15},
  abstract = {Among various pulse crops, Faba bean is widely produced in Ethiopia. The crop is usually adaptable in mid and high altitude area (1800-3000 m.a.s.l.). The applications of GGE biplot ease the graphic comparison and identification of higher genotypes for supporting decision on variety selection and recommendation in different locations. Twelve advanced faba bean genotypes were conducted in 2019 across seven locations in Ethiopia using randomized complete block design with four replications. The aim of this study were to evaluate faba bean genotypes for high mean yield and identify stable varieties across locations, select ideal environment in order to design effective breeding strategy through clustering mega environments. The IPC1 and IPC2 together explained 58.14% of the total G X E interaction. The line transient through the biplot origin and vertical to the E1 axis splits genotypes that yielded below the mean or in the left hand side (G7, G9, G10, G2, and G1) and genotypes that yielded above the mean were all other genotypes found in the right hand side. The AEC vertical axis designated yield stability measure of genotypes. The smaller the length of the line perpendicular to the horizontal AEC axis at E1 (Assasa) indicated the more stable the genotype and vice versa. G2 and G4 were the best stable genotypes, whereas G12 and G7 were the most unstable genotypes relative to other genotypes. The test locations with longest vectors from biplot origin are more selective of the genotypes hence, E3, E1 and E2 considered more discriminating environments for the testing genotypes and least representative due to large deviation from AEC. According to the center of the concentric circles G8, represents the position of perfect genotype. The polygon view of GGE biplot identified two mega environments E1 (Assasa) and E2 (Kulumsa) as one mega environment and G11 (EH 09046-3) was the vertex genotype. The second mega environment comprises E3 (Bekoji), E4 (Kofele), E5 (Adet), E6 (Debark) and E7 (Holetta) and G12 (Tumsa) was the winning genotype for these environments. This designated there is no genotypes showed superior performance across all environments.},
 year = {2021}
}

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TY - JOUR
T1 - Identification of Stable Faba Bean (Vicia faba L.) Genotypes for Seed Yield in Ethiopia Using GGE Model
AU - Gebeyaw Achenef Haile
AU - Gizachew Yilma Kebede
Y1 - 2021/08/24
PY - 2021
N1 - https://doi.org/10.11648/j.jps.20210904.15
DO - 10.11648/j.jps.20210904.15
T2 - Journal of Plant Sciences
JF - Journal of Plant Sciences
JO - Journal of Plant Sciences
SP - 163
EP - 169
PB - Science Publishing Group
SN - 2331-0731
UR - https://doi.org/10.11648/j.jps.20210904.15
AB - Among various pulse crops, Faba bean is widely produced in Ethiopia. The crop is usually adaptable in mid and high altitude area (1800-3000 m.a.s.l.). The applications of GGE biplot ease the graphic comparison and identification of higher genotypes for supporting decision on variety selection and recommendation in different locations. Twelve advanced faba bean genotypes were conducted in 2019 across seven locations in Ethiopia using randomized complete block design with four replications. The aim of this study were to evaluate faba bean genotypes for high mean yield and identify stable varieties across locations, select ideal environment in order to design effective breeding strategy through clustering mega environments. The IPC1 and IPC2 together explained 58.14% of the total G X E interaction. The line transient through the biplot origin and vertical to the E1 axis splits genotypes that yielded below the mean or in the left hand side (G7, G9, G10, G2, and G1) and genotypes that yielded above the mean were all other genotypes found in the right hand side. The AEC vertical axis designated yield stability measure of genotypes. The smaller the length of the line perpendicular to the horizontal AEC axis at E1 (Assasa) indicated the more stable the genotype and vice versa. G2 and G4 were the best stable genotypes, whereas G12 and G7 were the most unstable genotypes relative to other genotypes. The test locations with longest vectors from biplot origin are more selective of the genotypes hence, E3, E1 and E2 considered more discriminating environments for the testing genotypes and least representative due to large deviation from AEC. According to the center of the concentric circles G8, represents the position of perfect genotype. The polygon view of GGE biplot identified two mega environments E1 (Assasa) and E2 (Kulumsa) as one mega environment and G11 (EH 09046-3) was the vertex genotype. The second mega environment comprises E3 (Bekoji), E4 (Kofele), E5 (Adet), E6 (Debark) and E7 (Holetta) and G12 (Tumsa) was the winning genotype for these environments. This designated there is no genotypes showed superior performance across all environments.
VL - 9
IS - 4
ER -

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Author Information

Gebeyaw Achenef Haile

Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Assela, Ethiopia
Gizachew Yilma Kebede

Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Assela, Ethiopia

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Plain Text BibTeX RIS

APA Style

Gebeyaw Achenef Haile, Gizachew Yilma Kebede. (2021). Identification of Stable Faba Bean (Vicia faba L.) Genotypes for Seed Yield in Ethiopia Using GGE Model. Journal of Plant Sciences, 9(4), 163-169. https://doi.org/10.11648/j.jps.20210904.15

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ACS Style

Gebeyaw Achenef Haile; Gizachew Yilma Kebede. Identification of Stable Faba Bean (Vicia faba L.) Genotypes for Seed Yield in Ethiopia Using GGE Model. J. Plant Sci. 2021, 9(4), 163-169. doi: 10.11648/j.jps.20210904.15

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AMA Style

Gebeyaw Achenef Haile, Gizachew Yilma Kebede. Identification of Stable Faba Bean (Vicia faba L.) Genotypes for Seed Yield in Ethiopia Using GGE Model. J Plant Sci. 2021;9(4):163-169. doi: 10.11648/j.jps.20210904.15

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@article{10.11648/j.jps.20210904.15,
  author = {Gebeyaw Achenef Haile and Gizachew Yilma Kebede},
  title = {Identification of Stable Faba Bean (Vicia faba L.) Genotypes for Seed Yield in Ethiopia Using GGE Model},
  journal = {Journal of Plant Sciences},
  volume = {9},
  number = {4},
  pages = {163-169},
  doi = {10.11648/j.jps.20210904.15},
  url = {https://doi.org/10.11648/j.jps.20210904.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20210904.15},
  abstract = {Among various pulse crops, Faba bean is widely produced in Ethiopia. The crop is usually adaptable in mid and high altitude area (1800-3000 m.a.s.l.). The applications of GGE biplot ease the graphic comparison and identification of higher genotypes for supporting decision on variety selection and recommendation in different locations. Twelve advanced faba bean genotypes were conducted in 2019 across seven locations in Ethiopia using randomized complete block design with four replications. The aim of this study were to evaluate faba bean genotypes for high mean yield and identify stable varieties across locations, select ideal environment in order to design effective breeding strategy through clustering mega environments. The IPC1 and IPC2 together explained 58.14% of the total G X E interaction. The line transient through the biplot origin and vertical to the E1 axis splits genotypes that yielded below the mean or in the left hand side (G7, G9, G10, G2, and G1) and genotypes that yielded above the mean were all other genotypes found in the right hand side. The AEC vertical axis designated yield stability measure of genotypes. The smaller the length of the line perpendicular to the horizontal AEC axis at E1 (Assasa) indicated the more stable the genotype and vice versa. G2 and G4 were the best stable genotypes, whereas G12 and G7 were the most unstable genotypes relative to other genotypes. The test locations with longest vectors from biplot origin are more selective of the genotypes hence, E3, E1 and E2 considered more discriminating environments for the testing genotypes and least representative due to large deviation from AEC. According to the center of the concentric circles G8, represents the position of perfect genotype. The polygon view of GGE biplot identified two mega environments E1 (Assasa) and E2 (Kulumsa) as one mega environment and G11 (EH 09046-3) was the vertex genotype. The second mega environment comprises E3 (Bekoji), E4 (Kofele), E5 (Adet), E6 (Debark) and E7 (Holetta) and G12 (Tumsa) was the winning genotype for these environments. This designated there is no genotypes showed superior performance across all environments.},
 year = {2021}
}

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