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GGE Biplot Analysis of Genotype x Environment Interaction and Bean Yield Stability of Arabica Coffee (Coffee arabica L.) Genotypes in Southwestern Ethiopia

Received: 6 May 2021     Accepted: 24 June 2021     Published: 29 June 2021
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Abstract

Coffee is the main Ethiopia’s most important agricultural export crop, which is providing about 25-30% of foreign exchange earnings. The estimation of stability performance of the cultivars becomes most important to detect consistently performing and high yielding genotypes. Eleven Arabica coffee genotypes were evaluated in southwestern part of the Ethiopia across four locations for two consecutive years (2014/15 - 2015/16). The objective of the study was to estimate the presence of the interaction between genotypes and environments; and the stability performance of the coffee cultivars for its bean yield. The experimental design was Randomized Complete Block Design (RCBD) replicated twice in each testing location. Genotypes were evaluated by Genotype main effect and genotype x environment interaction (GGE) biplot. The combined analysis of variance indicated that genotypes, environments and GEI showed highly significant (p<0.01). Total variation explained was 41.63% for environments, 9.31% for genotypes and 32.32% for genotype by environment interaction (GEI). This obviously shows that the effect of the genotypes to the total variance was minimal when compare to the environment and the GEI. GGE biplot grouped the environments into four clusters with five genotypes being the winners in different group of environments. Top yielding cultivars namely; L52/2001 and L55/2001; and E6 (Jimma 2015/16) were identified as an ideal genotype and environment, respectively. In this study, stable genotypes, suitable environment for each of the coffee genotype and environment similarity based on bean yield were identified.

Published in American Journal of BioScience (Volume 9, Issue 3)
DOI 10.11648/j.ajbio.20210903.16
Page(s) 110-115
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

Arabica Coffee, Environments, Stability

References
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[2] Agwanda, C. O. and Owuor, J. B. O., 1989. Clonal comparative trials in Arabica Coffee (Cofa arabica L.). I: The effect of broadening the genetic base on the stability of yield in Kenya. Kenya Coffee, 54, pp. 639-643.
[3] Agwanda, C. O., Baradat, P., Cilas, C. and Charrier, A., 1997. Genotype-by-environment interaction and its implications on selection for improved quality in Arabica coffee (Coffea arabica L.). In COLLOQUE Scientifique International sur le Café, 17. Nairobi (Kenya), Juillet pp. 20-25.
[4] Bartlett, MS. 1974. The use of transformations. Biometrics 2, pp. 39-52.
[5] Bayetta B (2001). Arabica coffee breeding for yield and resistance to coffee berry disease (Colletotrichum kahawae Sp. nov.). A PhD degree thesis submitted to the University of London. P 272.
[6] Falconer D. S. 1952. Selection for large and small size in mice. J. Genet., 51: 470–501.
[7] Gedif, M., Yigzaw, D. and Tsige, G., 2014. Genotype-environment interaction and correlation of some stability parameters of total starch yield in potato in Amhara region, Ethiopia. Journal of Plant Breeding and Crop Science, 6(3), pp. 31-40.
[8] Karimizadeh, R., M. Mohammadi, N. Sabaghni, A. A. Mahmoodi, B. Roustami, F. Seyyedi, F. Akbari, 2013. GGE biplot analysis of yield stability in multi-environment trials of lentil genotypes under rainfed condition. Notulae Scientia Biologicae, 5 (2), p. 256.
[9] Kearsey M. J. and Pooni H. S. 1996. The genetical analysis of quantitative traits. Chapman & Hall, London, UK.
[10] Leon, N., Jannink, J. L., Edwards, J. W. and Kaeppler, S. M., 2016. Introduction to a special issue on genotype by environment interaction. Crop Science, 56 (5), pp. 2081-2089.
[11] Meaza D, Girma T, Mesfin K (2011). Additive Main Effects and Multiplicative Interaction Analysis of Coffee Germplasms from Southern Ethiopia. SINET: Ethiop. J. Sci. 34 (1): 63-70.
[12] Mesfin, A. and Bayetta, B., 1987. Genotype- environment interaction in coffee, Coffea arabica L. Paper presented on 12th international scientific colloquium on coffee (SIC). Paris. pp. 476-482.
[13] Mohamed, N. E. and A. A. Ahmed, 2013. Additive main effects and multiplicative interaction (AMMI) and GGE-biplot analysis of genotype environment interactions for grain yield in bread wheat (Triticum aestivum L.). African Journal of Agricultural Research, 8 (42), pp. 5197-5203.
[14] Montagnon, C., Cilas, C., Leroy, T., Yapo, A. and Charmetant, P., 2000. Genotype-location interactions for Coffea canephora yield in the Ivory Coast. Agronomie, 20 (1), pp. 101-109.
[15] Mortazavian, S. M. M., H. R. Nikkhah, F. A. Hassani, M. Sharif-al-Hosseini, M. Taheri and M. Mahlooji, 2014. GGE biplot and AMMI analysis of yield performance of barley genotypes across different environments in Iran. Journal of Agricultural Science and Technology, 16 (3), pp. 609-622.
[16] Sharma, R. C., A. I. Morgounov, H. J., Braun, B. Akin, M. Keser, D. Bedoshvili, A. Bagci M. Martius and M. van Ginkel, 2010. Identifying high yielding stable winter wheat genotypes for irrigated environments in Central and West Asia. Euphytica, 171 (1), pp. 53-64.
[17] United States Department of Agriculture, 2020. Coffee Annual Report.
[18] Yan, W., L. A. Hunt, Q. Sheng and Z. Szlavnics, 2000. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science, 40 (3), pp. 597-605.
[19] Yan, W. and L. A. Hunt, 2001. Interpretation of genotype × environment interaction for winter wheat yield in Ontario. Crop Science, 41 (1), pp. 19-25.
[20] Yan, W. and I. Rajcan, 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Science, 42 (1), pp. 11-20.
[21] Yan, W. and Kang, M. S., 2002. GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC press.
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  • APA Style

    Lemi Beksisa. (2021). GGE Biplot Analysis of Genotype x Environment Interaction and Bean Yield Stability of Arabica Coffee (Coffee arabica L.) Genotypes in Southwestern Ethiopia. American Journal of BioScience, 9(3), 110-115. https://doi.org/10.11648/j.ajbio.20210903.16

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    Lemi Beksisa. GGE Biplot Analysis of Genotype x Environment Interaction and Bean Yield Stability of Arabica Coffee (Coffee arabica L.) Genotypes in Southwestern Ethiopia. Am. J. BioScience 2021, 9(3), 110-115. doi: 10.11648/j.ajbio.20210903.16

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    AMA Style

    Lemi Beksisa. GGE Biplot Analysis of Genotype x Environment Interaction and Bean Yield Stability of Arabica Coffee (Coffee arabica L.) Genotypes in Southwestern Ethiopia. Am J BioScience. 2021;9(3):110-115. doi: 10.11648/j.ajbio.20210903.16

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  • @article{10.11648/j.ajbio.20210903.16,
      author = {Lemi Beksisa},
      title = {GGE Biplot Analysis of Genotype x Environment Interaction and Bean Yield Stability of Arabica Coffee (Coffee arabica L.) Genotypes in Southwestern Ethiopia},
      journal = {American Journal of BioScience},
      volume = {9},
      number = {3},
      pages = {110-115},
      doi = {10.11648/j.ajbio.20210903.16},
      url = {https://doi.org/10.11648/j.ajbio.20210903.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbio.20210903.16},
      abstract = {Coffee is the main Ethiopia’s most important agricultural export crop, which is providing about 25-30% of foreign exchange earnings. The estimation of stability performance of the cultivars becomes most important to detect consistently performing and high yielding genotypes. Eleven Arabica coffee genotypes were evaluated in southwestern part of the Ethiopia across four locations for two consecutive years (2014/15 - 2015/16). The objective of the study was to estimate the presence of the interaction between genotypes and environments; and the stability performance of the coffee cultivars for its bean yield. The experimental design was Randomized Complete Block Design (RCBD) replicated twice in each testing location. Genotypes were evaluated by Genotype main effect and genotype x environment interaction (GGE) biplot. The combined analysis of variance indicated that genotypes, environments and GEI showed highly significant (p<0.01). Total variation explained was 41.63% for environments, 9.31% for genotypes and 32.32% for genotype by environment interaction (GEI). This obviously shows that the effect of the genotypes to the total variance was minimal when compare to the environment and the GEI. GGE biplot grouped the environments into four clusters with five genotypes being the winners in different group of environments. Top yielding cultivars namely; L52/2001 and L55/2001; and E6 (Jimma 2015/16) were identified as an ideal genotype and environment, respectively. In this study, stable genotypes, suitable environment for each of the coffee genotype and environment similarity based on bean yield were identified.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - GGE Biplot Analysis of Genotype x Environment Interaction and Bean Yield Stability of Arabica Coffee (Coffee arabica L.) Genotypes in Southwestern Ethiopia
    AU  - Lemi Beksisa
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    T2  - American Journal of BioScience
    JF  - American Journal of BioScience
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    UR  - https://doi.org/10.11648/j.ajbio.20210903.16
    AB  - Coffee is the main Ethiopia’s most important agricultural export crop, which is providing about 25-30% of foreign exchange earnings. The estimation of stability performance of the cultivars becomes most important to detect consistently performing and high yielding genotypes. Eleven Arabica coffee genotypes were evaluated in southwestern part of the Ethiopia across four locations for two consecutive years (2014/15 - 2015/16). The objective of the study was to estimate the presence of the interaction between genotypes and environments; and the stability performance of the coffee cultivars for its bean yield. The experimental design was Randomized Complete Block Design (RCBD) replicated twice in each testing location. Genotypes were evaluated by Genotype main effect and genotype x environment interaction (GGE) biplot. The combined analysis of variance indicated that genotypes, environments and GEI showed highly significant (p<0.01). Total variation explained was 41.63% for environments, 9.31% for genotypes and 32.32% for genotype by environment interaction (GEI). This obviously shows that the effect of the genotypes to the total variance was minimal when compare to the environment and the GEI. GGE biplot grouped the environments into four clusters with five genotypes being the winners in different group of environments. Top yielding cultivars namely; L52/2001 and L55/2001; and E6 (Jimma 2015/16) were identified as an ideal genotype and environment, respectively. In this study, stable genotypes, suitable environment for each of the coffee genotype and environment similarity based on bean yield were identified.
    VL  - 9
    IS  - 3
    ER  - 

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

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