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 |
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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. |
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Copyright © The Author(s), 2021. Published by Science Publishing Group |
Coffea Arabica, Genetic Variability, Correlation, Path Coefficient Analysis, Yield and Yield Components, Germplasm, Quantitative Characters
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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
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
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
@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} }
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 -