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Phenotypic Characterization of Coffee (Coffea Arabica L.) Germplasm, in Ethiopia

Received: 13 January 2021     Accepted: 17 March 2021     Published: 30 March 2021
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Abstract

Identification and characterization of coffee accessions in the base population is important for a successful conservation and utilization of genetic resources. The study was conducted at Metu Agricultural Research Sub Center to characterize extent of genetic variability of coffee accessions. Sixty four Coffee collections were used for this study. The experiment was superimposed during 2018 cropping seasons on six years old coffee trees, which were laid down in 8x8 simple lattice designs. The orchard was managed as per the coffee agronomic production practices. Data on 12 qualitative traits were recorded from four representative trees per row for each accession. Estimates of frequency distribution and Shannon and Weaver diversity index using qualitative traits revealed the presence of genetic variability between coffee geremplasm. The maximum diversity index (H’) (highly polymorphic) was found for fruit color (1.22) followed by young leaf tip color (1.08), stipule shape (1.06), leaf shape (1.04), angle of insertion on primary branches (0.97), fruit shape (0.91), growth habit (0.90) and branching habit (0.73), whereas low diversity (lowest polymorphic) was observed in fruit ribs (H`=0.50) and stem habit (H`=0.35). Cluster analysis Grouped 64 coffee accessions in to five clusters. Maximum numbers of accessions were included in cluster-II (29) followed by cluster-I (27), cluster-III (6) and cluster-IV (1). Thus, there is a chance to develop hybrid vigor through crossing diverged parents found in different cluster. Therefore, current study substantiated the existence of sufficient genetic variability in Yayu coffee germplasm for various morphological traits, which can be employed for successful conservation and utilization of genetic resources, as well to identify possible duplicates.

Published in American Journal of BioScience (Volume 9, Issue 2)
DOI 10.11648/j.ajbio.20210902.11
Page(s) 34-41
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

Accessions, Coffee, Shannon Index, Cluster

References
[1] Abdi Adem, Hussein Mohammed, Amsalu Ayana. Phenotypic Diversity in Arabica Coffee Genotypes from Eastern Ethiopia. International Journal of Ecotoxicology and Ecobiology. Vol. 5, No. 4, 2020, pp. 42-47. doi: 10.11648/j.ijee.20200504.11.
[2] Ayana A, Bekele E (1999). Multivariate analysis of morphological variation in sorghum (Sorghum bicolor (L.) Moench) germplasm from Ethiopia and Eritrea. Genetic Resources and Crop Evolution 46, 273–284. https://doi.org/10.1023/A:1008657120946.
[3] Bayetta B (2001). Arabica coffee breeding for yield and resistance to Coffee Berry Disease (Colletotichum Kahawae) sp.nor). APhD dissertation submitted to the Imperial College of Wye University of London 272 p.
[4] Beyene DL (2014). Assessing the impact of Unesco biosphere reserves on forest cover change: the case of Yayu Coffee Forest Biosphere Reserve in Ethiopia. - Geo-information Science and Remote Sensing - Wageningen University.
[5] Brown AHD, Marshall R, Frankel OH, Williams JT (1990). The use of plant genetic resources. Cambridge University Press, London.
[6] Carvalho A, Ferwerda FP, Frahm-Leliveld JA, Medina DM, Mendes AJ, Monaco LC (1969). Coffee (Coffea arabica L. and C. canephora P.). In: F. P. Ferwerda & F. Wit (eds.). Outlines of perennial crop breeding in the tropics, Veenman and Zonen, Wageningen, 189–241.
[7] Copper MC, Milligan GW (1988). The effect of error on determining the clusters. Proceedings on the International workshop on Data Analysis, Decision support and Expert Knowedge Representation in Marketing and Relayted Areas of Research, June 21-23, 1987, University of Karlsruhe, West Geremany PP 319-328.
[8] De Vienne, D., S. Santon and M. Falque, 2003. Principal sources of Molecular Markers. Pp. 3-41. In: Molecular Markers in Plant Genetics and Biotechnology, Vienne, D. D. (Ed.). Science Publishers, Inc., Plymouth, UK.
[9] Engels JMM (1993). The use of botanical descriptors for cacao characterization. CATIE experiences. pp. 69-76. In: Proceedings of the international work- shop on conservation, characterization and utilization of cacao genetic resources in the 21th Century. The Cacao Research Unit, Trinidad.
[10] Esayas A (2005). Molecular genetic diversity study of forest coffee tree (Coffee arabica L.) populations in Ethiopia: Implications for conservation and breeding. Doctoral Thesis, Faculty of Landscape planning, Horticulture and Agricultural Science, Swedish University of Agri. Sci.
[11] Getachew W, Sentayehu A, Taye K (2013). Genetic Diversity Analysis of Some Ethiopian Specialty Coffee (Coffea arabica L.) Germplasm Accessions Based on Morphological Traits. Msc thesis Submitted to Jimma University, Jimma, Ethiopia.
[12] Gole TW, Senebeta F (2008). Sustainable management and promotion of forest coffee in Bale, Ethiopia. Bale Eco-Region Sustainable Management Programme SOS Sahel/ FARM- Africa, Addis Ababa.
[13] Hair ML (1995). Colloids and Surfaces A: Physicochemical and Engineering Aspects. Elsevier. Volume 105, Issue 1, 1 December 1995, Pages 95-103.
[14] International Plant Genetic Resource Institute (IPGRI) (1996). Diversity for development. Rome, International Plant Genetic Resources Institute.
[15] Jaramillo S, Baena M (2000). Jaramillo S and Baena M. 2000. Material de apoyo a la capacitación y conservación ex situ de recursos fitogenéticos, Cali: IPGRI, 209 p.
[16] Kassahun T (2006). Genetic Diversity of wild Coffea arabica populations in Ethiopia as a contribution to conservation and use planning. Ecology and Development Series. University of Bonn, Germany.
[17] Kassahun T, Kim G, Endashaw B, Thomas B (2013). ISSR fingerprinting of Coffea arabica throughout Ethiopia reveals high variability in wild populations and distinguishes them from landraces. Plant Systematics and Evolution, in press http://dx.doi.org/10.1007/s00606-013-09272.
[18] Lashermes P, Andrzejewski S, Bertrand B, Combes MC, Dussert S, Graziosi G, Trouslot P Anthony F (2000). Molecular analysis of introgressive breeding in coffee (Coffea arabica L.). Theoretical and applied genetics, 100 (1): 139-146.
[19] Manyasa EO, SN, Christiansen JL (2009). Variability patterns in Ugandan pigeonpea landraces. Journal of SAT Agricultural Research. 7: 1-9.
[20] Mason CF (1988). Biology of Fresh Water Pollution. Longman scientific and technical.
[21] Merriam-Webster (1991). Webster’s ninth new collegiate dictionary. Merriam-Webster Inc., Publishers. Springfield, Massachusetts, USA.
[22] Muluken D, Wassu M, Endale G (2016). Variability, heritability and genetic advance in Ethiopian okra [Abelmoschus esculentus L.) Monech] collections for tender fruit yield and other agro-morphological traits. Journal of Applied Life Sciences International, 4 (1): 1-12.
[23] Paulos D (2001). Soil and water resources and degradation factors affecting their productivity in the Ethiopian highland agro - ecosystems. Michigan State University Press, 8 (1): 1-18p.
[24] Peeters JP, Martinelli JA (1989). Hierarchical cluster analysis as a tool to manage in geremplasm collection. Theoretical and Applied Genetics, 78: 42-48.
[25] Ren J, McFerson J, Kresovich RLS, Lamboy WF (1995). Identities and relationships among Chinese vegetable Brassicas as determined by random amplified polymorphic DNA markers. 120 (3): 548-555.
[26] Silvarolla MB, Mazzafera P, Fazuoli LC (2004). A naturally decaffeinated arabica coffee. Nature 429: 826.
[27] Shannon C E, Weaver W (1949). The mathematical theory of communication. Urbana, University of Illinois Press, 177.
[28] Tadesse B (2017). Progress in Arabica Coffee Breeding in Ethiopia: Achievements, Challenges and Prospects. International Journal of Sciences: Basic and Applied Research, 33: 15-25.
[29] Taye K (2006). Ecophysiological diversity of wild Arabica coffee populations in Ethiopia: growth, water relations and hydraulic characteristics along a climatic gradient. Ecology and Development Series, No. 46. Cuvillier Verlag: Göttingen. 305.
[30] Taye K, Jurgen (2008). Ecophysiolog of wild coffee population in mountane rain forestwelgekno of Ethiopia. Proceedings of coffee knowledge and diversity. Work shop of EIAR.
[31] Taye K (2010). Environmental sustainability and coffee diversity in Africa. Paper presented in the ICO World Coffee Conference, 26-28 February 2010, Guatemala City.
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    Masreshaw Yirga. (2021). Phenotypic Characterization of Coffee (Coffea Arabica L.) Germplasm, in Ethiopia. American Journal of BioScience, 9(2), 34-41. https://doi.org/10.11648/j.ajbio.20210902.11

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    Masreshaw Yirga. Phenotypic Characterization of Coffee (Coffea Arabica L.) Germplasm, in Ethiopia. Am. J. BioScience 2021, 9(2), 34-41. doi: 10.11648/j.ajbio.20210902.11

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    AMA Style

    Masreshaw Yirga. Phenotypic Characterization of Coffee (Coffea Arabica L.) Germplasm, in Ethiopia. Am J BioScience. 2021;9(2):34-41. doi: 10.11648/j.ajbio.20210902.11

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  • @article{10.11648/j.ajbio.20210902.11,
      author = {Masreshaw Yirga},
      title = {Phenotypic Characterization of Coffee (Coffea Arabica L.) Germplasm, in Ethiopia},
      journal = {American Journal of BioScience},
      volume = {9},
      number = {2},
      pages = {34-41},
      doi = {10.11648/j.ajbio.20210902.11},
      url = {https://doi.org/10.11648/j.ajbio.20210902.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbio.20210902.11},
      abstract = {Identification and characterization of coffee accessions in the base population is important for a successful conservation and utilization of genetic resources. The study was conducted at Metu Agricultural Research Sub Center to characterize extent of genetic variability of coffee accessions. Sixty four Coffee collections were used for this study. The experiment was superimposed during 2018 cropping seasons on six years old coffee trees, which were laid down in 8x8 simple lattice designs. The orchard was managed as per the coffee agronomic production practices. Data on 12 qualitative traits were recorded from four representative trees per row for each accession. Estimates of frequency distribution and Shannon and Weaver diversity index using qualitative traits revealed the presence of genetic variability between coffee geremplasm. The maximum diversity index (H’) (highly polymorphic) was found for fruit color (1.22) followed by young leaf tip color (1.08), stipule shape (1.06), leaf shape (1.04), angle of insertion on primary branches (0.97), fruit shape (0.91), growth habit (0.90) and branching habit (0.73), whereas low diversity (lowest polymorphic) was observed in fruit ribs (H`=0.50) and stem habit (H`=0.35). Cluster analysis Grouped 64 coffee accessions in to five clusters. Maximum numbers of accessions were included in cluster-II (29) followed by cluster-I (27), cluster-III (6) and cluster-IV (1). Thus, there is a chance to develop hybrid vigor through crossing diverged parents found in different cluster. Therefore, current study substantiated the existence of sufficient genetic variability in Yayu coffee germplasm for various morphological traits, which can be employed for successful conservation and utilization of genetic resources, as well to identify possible duplicates.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Phenotypic Characterization of Coffee (Coffea Arabica L.) Germplasm, in Ethiopia
    AU  - Masreshaw Yirga
    Y1  - 2021/03/30
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ajbio.20210902.11
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    AB  - Identification and characterization of coffee accessions in the base population is important for a successful conservation and utilization of genetic resources. The study was conducted at Metu Agricultural Research Sub Center to characterize extent of genetic variability of coffee accessions. Sixty four Coffee collections were used for this study. The experiment was superimposed during 2018 cropping seasons on six years old coffee trees, which were laid down in 8x8 simple lattice designs. The orchard was managed as per the coffee agronomic production practices. Data on 12 qualitative traits were recorded from four representative trees per row for each accession. Estimates of frequency distribution and Shannon and Weaver diversity index using qualitative traits revealed the presence of genetic variability between coffee geremplasm. The maximum diversity index (H’) (highly polymorphic) was found for fruit color (1.22) followed by young leaf tip color (1.08), stipule shape (1.06), leaf shape (1.04), angle of insertion on primary branches (0.97), fruit shape (0.91), growth habit (0.90) and branching habit (0.73), whereas low diversity (lowest polymorphic) was observed in fruit ribs (H`=0.50) and stem habit (H`=0.35). Cluster analysis Grouped 64 coffee accessions in to five clusters. Maximum numbers of accessions were included in cluster-II (29) followed by cluster-I (27), cluster-III (6) and cluster-IV (1). Thus, there is a chance to develop hybrid vigor through crossing diverged parents found in different cluster. Therefore, current study substantiated the existence of sufficient genetic variability in Yayu coffee germplasm for various morphological traits, which can be employed for successful conservation and utilization of genetic resources, as well to identify possible duplicates.
    VL  - 9
    IS  - 2
    ER  - 

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Author Information
  • Ethiopian Institutes of Agricultural Research, Jimma Agricultural Research Center, Department of Plant Breeding, Jimma, Ethiopia

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