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Correlation and Path Coefficient Analysis of Morphological Quantitative Characters in Some Ethiopian Specialty Coffee (Coffea arabica L.) Accessions

Received: 24 July 2021    Accepted: 6 August 2021    Published: 18 August 2021
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Abstract

Ethiopia is the motherland and center of genetic diversity of Arabica coffee (Coffea arabica L., Rubiaceae). Receiving extra information on genetic variability is a precondition for more enhancement of coffee (Coffea arabica L.). The present study was carried out to study the correlation and path coefficient analysis of 104 entries consisting of 100 accessions from southern parts of Ethiopia and four standard cultivars were evaluated using augmented design. Data on 22 quantitative traits were recorded from five envoy trees per row for each accession. The result revealed that, for nearly all of the traits phenotypic correlation coefficients were lower than genotypic correlation coefficients, indicative of the inherent union among various traits is less influenced by environment. The genotypic path coefficient analysis revealed that leaf area, number of primary branches, number of nodes of primary branches, canopy diameter, bean width, stem diameter, fruit width, fruit thickness, hundred bean weight, bean thickness and average inter node length of primary branches, had positive direct effects on yield per tree, at the same time as the other traits affected yield indirectly, primarily through total plant height, number of secondary branches, height up to first primary branches, fruit length, bean length, average length of primary branches, leaf width and leaf length, show negative direct sound effects on yield per tree.

Published in American Journal of Agriculture and Forestry (Volume 9, Issue 4)
DOI 10.11648/j.ajaf.20210904.22
Page(s) 248-257
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), 2024. Published by Science Publishing Group

Keywords

Coffea Arabica, Genetic Variability, Correlation, Path Coefficient Analysis, Yield and Yield Components, Germplasm, Quantitative Characters

References
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[2] Davis AP, Gole TW, and Baena S, Moat J (2012). The impact of climate change on natural populations of Arabica coffee: Predicting future trends and identifying priorities. PLoS ONE 7 (11): e47981.
[3] Gray Q, Tefera A, Tefera T (2013). Coffee Annual Report. GAIN Report No. ET 1302. Coffee Exporter http://www.adulinacoffee.org/coffeeceremony.html.
[4] AnthonyF C, Combes C, AstorgaB, Bertrand G, Graziosi P, Lashermes P (2002). The origin of cultivated Coffea arabica L. varieties revealed by AFLP and SSR markers. Theoretical and Applied Genetics 104: 894-900.
[5] Labouisse JP, Bellachew B, Kotecha S, Bertrand B (2008). Current status of coffee (Coffea Arabica L.) genetic resources in Ethiopia: Implications for conservation. Genetic Resources and Crop Evolution 55: 1079-1093.
[6] BunnCH (2015). Modeling the climate change impacts on global coffee production. Dissertation for the completion of the academic degree Doctor rerum agriculturarum submitted to the faculty of Life Sciences at Humboldt-Universität zu Berlin. P. 196.
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[10] Falconer, D., and F. Mackay, 1996. Introduction to Quantitative Genetics. Longman, New York. 464 p.
[11] Sharma, J. R. (1998). Statistical and biometrical techniques in plant breeding. New Age International (P) Limitted Publishers, New Delhi, 432 p.
[12] Bhatt, G. M (1973). Significance of path coefficient analysis in determining the nature of character association. Euphytica 22: 338-343.
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[14] Dewey, D. R. and K. H. Lu (1959). Acorrelation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Journal, 51: 515-518.
[15] Mesfin K, Bayetta B (2008). Phenotypic Diversity in the Hararge Coffee (Coffeaarabica L). Germplasm for Quantitative Traits 2 (1) 13-18.
[16] Endale T, Taye K, Antenhe N, Tesfaye S, Alemseged Y, Tesfaye A (2008). Research on coffee field management. pp. 187-195. In: Girma A, Bayetta B, Tesfaye S, Endale T, Taye K (eds.). Coffee Diversity and Knowledge. Proceedings of a National Workshop Four Decades of Coffee Research and Development in Ethiopia, 14-17 August 2007, Addis Ababa, Ethiopia.
[17] IPGRI (1996). Description for coffee (Coffea sp. and Psilanthus sp.). International Plant Genetic Resource Institute, Rome.
[18] Singh RK, Chaudhary BD (1985). Biometrical methods in quantitative genetic analysis. Kalyani publishers, New Delhi-Ludhiana, India’s p. 318.
[19] Seyoum Seifu. (2003). Genetic divergence for seedling parameters and associations among agronomic traits in the Ethiopian coffee (C. arabica L.) germplasm. An MSC thesis presented to the school of graduate studies of Haramaya University, Haramaya, Ethiopia. pp. 91.
[20] Ermias Habte (2005). Evaluation of Wellega coffee germplasm for yield, yield components and resistance to coffee berry disease at early bearing stage. M.Sc. Thesis Submitted to Graduate Studies of Haramaya University, Haramaya, Ethiopia. 69 pp.
[21] Olika K, Sentayehu A, Taye K, Weyessa G (2011). Variability of quantitative Traits in Limmu Coffee (Coffea arabica L.) in Ethiopia. International Journal of Agricultural Research 6: 482-493.
[22] Getachew W, Sentayehu A, Taye K, Tadesse B (2013). Genetic Diversity Analysis of Some Ethiopian Specialty Coffee (Coffeaarabica L.) Germplasm Accessions Based on Morphological Traits Time Journals of Agriculture and Veterinary Sciences, 1 (4): 47-54.
[23] Gizachew A, Hussien M, Taye K (2017). Genetic Variability of Sidama Coffee (Coffea Arabica L.) Landrace for Agro-morphological Traits at Awada, Southern Ethiopia. Academic Research Journal of Agricultural Science and Research 5 (4): 263-275, DOI: 10.14662/ARJASR2017.025 ISSN: 23607874 http://www.academicresearchjournals.org/ARJASR/Index.htm
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Cite This Article
  • APA Style

    Meseret Degefa, Sentayehu Alamerew, Ali Mohammed, Adeba Gemechu. (2021). Correlation and Path Coefficient Analysis of Morphological Quantitative Characters in Some Ethiopian Specialty Coffee (Coffea arabica L.) Accessions. American Journal of Agriculture and Forestry, 9(4), 248-257. https://doi.org/10.11648/j.ajaf.20210904.22

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    ACS Style

    Meseret Degefa; Sentayehu Alamerew; Ali Mohammed; Adeba Gemechu. Correlation and Path Coefficient Analysis of Morphological Quantitative Characters in Some Ethiopian Specialty Coffee (Coffea arabica L.) Accessions. Am. J. Agric. For. 2021, 9(4), 248-257. doi: 10.11648/j.ajaf.20210904.22

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    AMA Style

    Meseret Degefa, Sentayehu Alamerew, Ali Mohammed, Adeba Gemechu. Correlation and Path Coefficient Analysis of Morphological Quantitative Characters in Some Ethiopian Specialty Coffee (Coffea arabica L.) Accessions. Am J Agric For. 2021;9(4):248-257. doi: 10.11648/j.ajaf.20210904.22

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  • @article{10.11648/j.ajaf.20210904.22,
      author = {Meseret Degefa and Sentayehu Alamerew and Ali Mohammed and Adeba Gemechu},
      title = {Correlation and Path Coefficient Analysis of Morphological Quantitative Characters in Some Ethiopian Specialty Coffee (Coffea arabica L.) Accessions},
      journal = {American Journal of Agriculture and Forestry},
      volume = {9},
      number = {4},
      pages = {248-257},
      doi = {10.11648/j.ajaf.20210904.22},
      url = {https://doi.org/10.11648/j.ajaf.20210904.22},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20210904.22},
      abstract = {Ethiopia is the motherland and center of genetic diversity of Arabica coffee (Coffea arabica L., Rubiaceae). Receiving extra information on genetic variability is a precondition for more enhancement of coffee (Coffea arabica L.). The present study was carried out to study the correlation and path coefficient analysis of 104 entries consisting of 100 accessions from southern parts of Ethiopia and four standard cultivars were evaluated using augmented design. Data on 22 quantitative traits were recorded from five envoy trees per row for each accession. The result revealed that, for nearly all of the traits phenotypic correlation coefficients were lower than genotypic correlation coefficients, indicative of the inherent union among various traits is less influenced by environment. The genotypic path coefficient analysis revealed that leaf area, number of primary branches, number of nodes of primary branches, canopy diameter, bean width, stem diameter, fruit width, fruit thickness, hundred bean weight, bean thickness and average inter node length of primary branches, had positive direct effects on yield per tree, at the same time as the other traits affected yield indirectly, primarily through total plant height, number of secondary branches, height up to first primary branches, fruit length, bean length, average length of primary branches, leaf width and leaf length, show negative direct sound effects on yield per tree.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Correlation and Path Coefficient Analysis of Morphological Quantitative Characters in Some Ethiopian Specialty Coffee (Coffea arabica L.) Accessions
    AU  - Meseret Degefa
    AU  - Sentayehu Alamerew
    AU  - Ali Mohammed
    AU  - Adeba Gemechu
    Y1  - 2021/08/18
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ajaf.20210904.22
    DO  - 10.11648/j.ajaf.20210904.22
    T2  - American Journal of Agriculture and Forestry
    JF  - American Journal of Agriculture and Forestry
    JO  - American Journal of Agriculture and Forestry
    SP  - 248
    EP  - 257
    PB  - Science Publishing Group
    SN  - 2330-8591
    UR  - https://doi.org/10.11648/j.ajaf.20210904.22
    AB  - Ethiopia is the motherland and center of genetic diversity of Arabica coffee (Coffea arabica L., Rubiaceae). Receiving extra information on genetic variability is a precondition for more enhancement of coffee (Coffea arabica L.). The present study was carried out to study the correlation and path coefficient analysis of 104 entries consisting of 100 accessions from southern parts of Ethiopia and four standard cultivars were evaluated using augmented design. Data on 22 quantitative traits were recorded from five envoy trees per row for each accession. The result revealed that, for nearly all of the traits phenotypic correlation coefficients were lower than genotypic correlation coefficients, indicative of the inherent union among various traits is less influenced by environment. The genotypic path coefficient analysis revealed that leaf area, number of primary branches, number of nodes of primary branches, canopy diameter, bean width, stem diameter, fruit width, fruit thickness, hundred bean weight, bean thickness and average inter node length of primary branches, had positive direct effects on yield per tree, at the same time as the other traits affected yield indirectly, primarily through total plant height, number of secondary branches, height up to first primary branches, fruit length, bean length, average length of primary branches, leaf width and leaf length, show negative direct sound effects on yield per tree.
    VL  - 9
    IS  - 4
    ER  - 

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Author Information
  • Awada Agricultural Research Sub- Centre, Yirgalema, Ethiopia

  • Colleges of Agriculture and Veterinary Medicine (JUCAVM), Jimma University, Jimma, Ethiopia

  • Colleges of Agriculture and Veterinary Medicine (JUCAVM), Jimma University, Jimma, Ethiopia

  • Colleges of Agriculture and Veterinary Medicine (JUCAVM), Jimma University, Jimma, Ethiopia

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