Stability Analysis of Coffee (<i>Coffea arabica</i> L.) Bean Yield Using GGE Biplot in South Western Ethiopia

Afework Legesse; Sintayehu Alamrew; Abush Tesfaye

doi:doi:10.11648/j.ajbes.20220801.15

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Stability Analysis of Coffee (Coffea arabica L.) Bean Yield Using GGE Biplot in South Western Ethiopia

Afework Legesse, Sintayehu Alamrew, Abush Tesfaye

Published in American Journal of Biological and Environmental Statistics (Volume 8, Issue 1)

Received: 16 February 2022 Accepted: 10 March 2022 Published: 23 March 2022

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Abstract

Coffee is the largest export crop, and the backbone of the Ethiopian economy. The experiment were conducted at Metu, Gore and Chora for two consecutive years with the objective of determining the nature and magnitude of genotype x environment interaction, to classify environment based on genotype performance and identifying stable genotypes on coffee yield by using GGE biplot analysis. A total 17 advanced coffee genotypes were laid out using randomized complete block design with three replications. The analysis of variance for coffee bean yield revealed the presence of highly significant difference (P<0.01) among genotypes, environments and genotype by environment interaction. Results of GGE biplot showed that the first two principal components (PC1 and PC2) justified 65.66% of the sum of squares with PC1=49.12% and PC2=16.54% of the GGE sum of squares. The six test environments were divided into four different coffee growing mega-environments. Among the test location Metu2 and Gore2 were the most representative and most discriminating environment while Chora2 was less powerful to discriminate genotypes or less desirable as a testing location for coffee bean yield. Genotype G5 (236/71), followed by G8 (872/74) and G12 (227/71) were stable and high yielder across coffee growing environments and it recommended for mega environment production.

Published in	American Journal of Biological and Environmental Statistics (Volume 8, Issue 1)
DOI	10.11648/j.ajbes.20220801.15
Page(s)	36-42
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

Bean Yield, Discriminating, Genotype x Environment Interaction, Stable

References

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APA Style

Afework Legesse, Sintayehu Alamrew, Abush Tesfaye. (2022). Stability Analysis of Coffee (Coffea arabica L.) Bean Yield Using GGE Biplot in South Western Ethiopia. American Journal of Biological and Environmental Statistics, 8(1), 36-42. https://doi.org/10.11648/j.ajbes.20220801.15

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ACS Style

Afework Legesse; Sintayehu Alamrew; Abush Tesfaye. Stability Analysis of Coffee (Coffea arabica L.) Bean Yield Using GGE Biplot in South Western Ethiopia. Am. J. Biol. Environ. Stat. 2022, 8(1), 36-42. doi: 10.11648/j.ajbes.20220801.15

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AMA Style

Afework Legesse, Sintayehu Alamrew, Abush Tesfaye. Stability Analysis of Coffee (Coffea arabica L.) Bean Yield Using GGE Biplot in South Western Ethiopia. Am J Biol Environ Stat. 2022;8(1):36-42. doi: 10.11648/j.ajbes.20220801.15

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@article{10.11648/j.ajbes.20220801.15,
  author = {Afework Legesse and Sintayehu Alamrew and Abush Tesfaye},
  title = {Stability Analysis of Coffee (Coffea arabica L.) Bean Yield Using GGE Biplot in South Western Ethiopia},
  journal = {American Journal of Biological and Environmental Statistics},
  volume = {8},
  number = {1},
  pages = {36-42},
  doi = {10.11648/j.ajbes.20220801.15},
  url = {https://doi.org/10.11648/j.ajbes.20220801.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbes.20220801.15},
  abstract = {Coffee is the largest export crop, and the backbone of the Ethiopian economy. The experiment were conducted at Metu, Gore and Chora for two consecutive years with the objective of determining the nature and magnitude of genotype x environment interaction, to classify environment based on genotype performance and identifying stable genotypes on coffee yield by using GGE biplot analysis. A total 17 advanced coffee genotypes were laid out using randomized complete block design with three replications. The analysis of variance for coffee bean yield revealed the presence of highly significant difference (P<0.01) among genotypes, environments and genotype by environment interaction. Results of GGE biplot showed that the first two principal components (PC1 and PC2) justified 65.66% of the sum of squares with PC1=49.12% and PC2=16.54% of the GGE sum of squares. The six test environments were divided into four different coffee growing mega-environments. Among the test location Metu2 and Gore2 were the most representative and most discriminating environment while Chora2 was less powerful to discriminate genotypes or less desirable as a testing location for coffee bean yield. Genotype G5 (236/71), followed by G8 (872/74) and G12 (227/71) were stable and high yielder across coffee growing environments and it recommended for mega environment production.},
 year = {2022}
}

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TY  - JOUR
T1  - Stability Analysis of Coffee (Coffea arabica L.) Bean Yield Using GGE Biplot in South Western Ethiopia
AU  - Afework Legesse
AU  - Sintayehu Alamrew
AU  - Abush Tesfaye
Y1  - 2022/03/23
PY  - 2022
N1  - https://doi.org/10.11648/j.ajbes.20220801.15
DO  - 10.11648/j.ajbes.20220801.15
T2  - American Journal of Biological and Environmental Statistics
JF  - American Journal of Biological and Environmental Statistics
JO  - American Journal of Biological and Environmental Statistics
SP  - 36
EP  - 42
PB  - Science Publishing Group
SN  - 2471-979X
UR  - https://doi.org/10.11648/j.ajbes.20220801.15
AB  - Coffee is the largest export crop, and the backbone of the Ethiopian economy. The experiment were conducted at Metu, Gore and Chora for two consecutive years with the objective of determining the nature and magnitude of genotype x environment interaction, to classify environment based on genotype performance and identifying stable genotypes on coffee yield by using GGE biplot analysis. A total 17 advanced coffee genotypes were laid out using randomized complete block design with three replications. The analysis of variance for coffee bean yield revealed the presence of highly significant difference (P<0.01) among genotypes, environments and genotype by environment interaction. Results of GGE biplot showed that the first two principal components (PC1 and PC2) justified 65.66% of the sum of squares with PC1=49.12% and PC2=16.54% of the GGE sum of squares. The six test environments were divided into four different coffee growing mega-environments. Among the test location Metu2 and Gore2 were the most representative and most discriminating environment while Chora2 was less powerful to discriminate genotypes or less desirable as a testing location for coffee bean yield. Genotype G5 (236/71), followed by G8 (872/74) and G12 (227/71) were stable and high yielder across coffee growing environments and it recommended for mega environment production.
VL  - 8
IS  - 1
ER  -

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Author Information

Afework Legesse

Department of Horticulture and Spices Crops Research, Jimma Agriculture Research Center, Jimma, Ethiopia
Sintayehu Alamrew

Department of Horticulture and Plant Science, College of Agriculture and Veterinary Medicine, Jimma University, Jimma, Ethiopia
Abush Tesfaye

International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria

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APA Style

Afework Legesse, Sintayehu Alamrew, Abush Tesfaye. (2022). Stability Analysis of Coffee (Coffea arabica L.) Bean Yield Using GGE Biplot in South Western Ethiopia. American Journal of Biological and Environmental Statistics, 8(1), 36-42. https://doi.org/10.11648/j.ajbes.20220801.15

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ACS Style

Afework Legesse; Sintayehu Alamrew; Abush Tesfaye. Stability Analysis of Coffee (Coffea arabica L.) Bean Yield Using GGE Biplot in South Western Ethiopia. Am. J. Biol. Environ. Stat. 2022, 8(1), 36-42. doi: 10.11648/j.ajbes.20220801.15

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AMA Style

Afework Legesse, Sintayehu Alamrew, Abush Tesfaye. Stability Analysis of Coffee (Coffea arabica L.) Bean Yield Using GGE Biplot in South Western Ethiopia. Am J Biol Environ Stat. 2022;8(1):36-42. doi: 10.11648/j.ajbes.20220801.15

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@article{10.11648/j.ajbes.20220801.15,
  author = {Afework Legesse and Sintayehu Alamrew and Abush Tesfaye},
  title = {Stability Analysis of Coffee (Coffea arabica L.) Bean Yield Using GGE Biplot in South Western Ethiopia},
  journal = {American Journal of Biological and Environmental Statistics},
  volume = {8},
  number = {1},
  pages = {36-42},
  doi = {10.11648/j.ajbes.20220801.15},
  url = {https://doi.org/10.11648/j.ajbes.20220801.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbes.20220801.15},
  abstract = {Coffee is the largest export crop, and the backbone of the Ethiopian economy. The experiment were conducted at Metu, Gore and Chora for two consecutive years with the objective of determining the nature and magnitude of genotype x environment interaction, to classify environment based on genotype performance and identifying stable genotypes on coffee yield by using GGE biplot analysis. A total 17 advanced coffee genotypes were laid out using randomized complete block design with three replications. The analysis of variance for coffee bean yield revealed the presence of highly significant difference (P<0.01) among genotypes, environments and genotype by environment interaction. Results of GGE biplot showed that the first two principal components (PC1 and PC2) justified 65.66% of the sum of squares with PC1=49.12% and PC2=16.54% of the GGE sum of squares. The six test environments were divided into four different coffee growing mega-environments. Among the test location Metu2 and Gore2 were the most representative and most discriminating environment while Chora2 was less powerful to discriminate genotypes or less desirable as a testing location for coffee bean yield. Genotype G5 (236/71), followed by G8 (872/74) and G12 (227/71) were stable and high yielder across coffee growing environments and it recommended for mega environment production.},
 year = {2022}
}

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TY  - JOUR
T1  - Stability Analysis of Coffee (Coffea arabica L.) Bean Yield Using GGE Biplot in South Western Ethiopia
AU  - Afework Legesse
AU  - Sintayehu Alamrew
AU  - Abush Tesfaye
Y1  - 2022/03/23
PY  - 2022
N1  - https://doi.org/10.11648/j.ajbes.20220801.15
DO  - 10.11648/j.ajbes.20220801.15
T2  - American Journal of Biological and Environmental Statistics
JF  - American Journal of Biological and Environmental Statistics
JO  - American Journal of Biological and Environmental Statistics
SP  - 36
EP  - 42
PB  - Science Publishing Group
SN  - 2471-979X
UR  - https://doi.org/10.11648/j.ajbes.20220801.15
AB  - Coffee is the largest export crop, and the backbone of the Ethiopian economy. The experiment were conducted at Metu, Gore and Chora for two consecutive years with the objective of determining the nature and magnitude of genotype x environment interaction, to classify environment based on genotype performance and identifying stable genotypes on coffee yield by using GGE biplot analysis. A total 17 advanced coffee genotypes were laid out using randomized complete block design with three replications. The analysis of variance for coffee bean yield revealed the presence of highly significant difference (P<0.01) among genotypes, environments and genotype by environment interaction. Results of GGE biplot showed that the first two principal components (PC1 and PC2) justified 65.66% of the sum of squares with PC1=49.12% and PC2=16.54% of the GGE sum of squares. The six test environments were divided into four different coffee growing mega-environments. Among the test location Metu2 and Gore2 were the most representative and most discriminating environment while Chora2 was less powerful to discriminate genotypes or less desirable as a testing location for coffee bean yield. Genotype G5 (236/71), followed by G8 (872/74) and G12 (227/71) were stable and high yielder across coffee growing environments and it recommended for mega environment production.
VL  - 8
IS  - 1
ER  -

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