Correlation and Path Coefficient Analysis in Coffee (<i>Coffea arabica </i>L.) Germplasm Accessions in Ethiopia

Masreshaw Yirga; Wosene Gebreselassie; Abush Tesfaye

doi:doi:10.11648/j.sr.20210902.12

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Correlation and Path Coefficient Analysis in Coffee (Coffea arabica L.) Germplasm Accessions in Ethiopia

Masreshaw Yirga, Wosene Gebreselassie, Abush Tesfaye

Published in Science Research (Volume 9, Issue 2)

Received: 7 April 2021 Accepted: 19 May 2021 Published: 27 May 2021

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Abstract

Sufficient information on the nature and magnitude of traits association will facilitate effective selection and hybridization to develop high yielding coffee progenies. The study was conducted at Metu Agricultural Research Sub Center to determine the extent of association among yield and yield related traits of coffee. Sixty four Coffee (Coffea arabica L.) germplasm including two standard check varieties (74110 and 74112) were used for this study. The field experiment was superimposed during 2018 cropping seasons on six years old coffee trees, which was laid down in 8x8 simple lattice design. The orchard was managed as per the coffee agronomic production practices. Data on 19 quantitative traits were recorded from four representative trees per row for each accession. Yield per tree exhibited significant (P<0.05) and positive phenotypic and genotypic association with fruit width (r_ph=0.19; r_g=0.19) and fruit thickness (r_ph=0.18; r_g=0.15). On the other hand, number of primary branches showed positive and significant (P<0.05) phenotypic and genotypic correlations with fruit width (r_ph=0.23; r_g=0.12) and fruit thickness (r_ph=0.21; r_g=0.07). Hence, indirect selection in favor of this trait can improve yield in coffee. Coffee berry disease mainly attacks fruits and beans, however, the disease showed negative phenotypic and genotypic correlation with fruit and bean quantitative traits. Average inter-node length of main stem, number of nodes on primary branches, Number of primary branches, fruit width and thickness, bean width and thickness and hundred beans weight exerted positive direct effect and also had positive genotypic association with yield per tree, while the other traits affected yield indirectly, mainly through average inter-node length of primary branches production. Therefore, these traits could be used as a reliable indicator in indirect selection for higher tree yield.

Published in	Science Research (Volume 9, Issue 2)
DOI	10.11648/j.sr.20210902.12
Page(s)	27-34
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 L., Correlation, Path Coefficient

References

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APA Style

Masreshaw Yirga, Wosene Gebreselassie, Abush Tesfaye. (2021). Correlation and Path Coefficient Analysis in Coffee (Coffea arabica L.) Germplasm Accessions in Ethiopia. Science Research, 9(2), 27-34. https://doi.org/10.11648/j.sr.20210902.12

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ACS Style

Masreshaw Yirga; Wosene Gebreselassie; Abush Tesfaye. Correlation and Path Coefficient Analysis in Coffee (Coffea arabica L.) Germplasm Accessions in Ethiopia. Sci. Res. 2021, 9(2), 27-34. doi: 10.11648/j.sr.20210902.12

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AMA Style

Masreshaw Yirga, Wosene Gebreselassie, Abush Tesfaye. Correlation and Path Coefficient Analysis in Coffee (Coffea arabica L.) Germplasm Accessions in Ethiopia. Sci Res. 2021;9(2):27-34. doi: 10.11648/j.sr.20210902.12

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@article{10.11648/j.sr.20210902.12,
  author = {Masreshaw Yirga and Wosene Gebreselassie and Abush Tesfaye},
  title = {Correlation and Path Coefficient Analysis in Coffee (Coffea arabica L.) Germplasm Accessions in Ethiopia},
  journal = {Science Research},
  volume = {9},
  number = {2},
  pages = {27-34},
  doi = {10.11648/j.sr.20210902.12},
  url = {https://doi.org/10.11648/j.sr.20210902.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20210902.12},
  abstract = {Sufficient information on the nature and magnitude of traits association will facilitate effective selection and hybridization to develop high yielding coffee progenies. The study was conducted at Metu Agricultural Research Sub Center to determine the extent of association among yield and yield related traits of coffee. Sixty four Coffee (Coffea arabica L.) germplasm including two standard check varieties (74110 and 74112) were used for this study. The field experiment was superimposed during 2018 cropping seasons on six years old coffee trees, which was laid down in 8x8 simple lattice design. The orchard was managed as per the coffee agronomic production practices. Data on 19 quantitative traits were recorded from four representative trees per row for each accession. Yield per tree exhibited significant (Pph=0.19; rg=0.19) and fruit thickness (rph=0.18; rg=0.15). On the other hand, number of primary branches showed positive and significant (Pph=0.23; rg=0.12) and fruit thickness (rph=0.21; rg=0.07). Hence, indirect selection in favor of this trait can improve yield in coffee. Coffee berry disease mainly attacks fruits and beans, however, the disease showed negative phenotypic and genotypic correlation with fruit and bean quantitative traits. Average inter-node length of main stem, number of nodes on primary branches, Number of primary branches, fruit width and thickness, bean width and thickness and hundred beans weight exerted positive direct effect and also had positive genotypic association with yield per tree, while the other traits affected yield indirectly, mainly through average inter-node length of primary branches production. Therefore, these traits could be used as a reliable indicator in indirect selection for higher tree yield.},
 year = {2021}
}

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TY - JOUR
T1 - Correlation and Path Coefficient Analysis in Coffee (Coffea arabica L.) Germplasm Accessions in Ethiopia
AU - Masreshaw Yirga
AU - Wosene Gebreselassie
AU - Abush Tesfaye
Y1 - 2021/05/27
PY - 2021
N1 - https://doi.org/10.11648/j.sr.20210902.12
DO - 10.11648/j.sr.20210902.12
T2 - Science Research
JF - Science Research
JO - Science Research
SP - 27
EP - 34
PB - Science Publishing Group
SN - 2329-0927
UR - https://doi.org/10.11648/j.sr.20210902.12
AB - Sufficient information on the nature and magnitude of traits association will facilitate effective selection and hybridization to develop high yielding coffee progenies. The study was conducted at Metu Agricultural Research Sub Center to determine the extent of association among yield and yield related traits of coffee. Sixty four Coffee (Coffea arabica L.) germplasm including two standard check varieties (74110 and 74112) were used for this study. The field experiment was superimposed during 2018 cropping seasons on six years old coffee trees, which was laid down in 8x8 simple lattice design. The orchard was managed as per the coffee agronomic production practices. Data on 19 quantitative traits were recorded from four representative trees per row for each accession. Yield per tree exhibited significant (Pph=0.19; rg=0.19) and fruit thickness (rph=0.18; rg=0.15). On the other hand, number of primary branches showed positive and significant (Pph=0.23; rg=0.12) and fruit thickness (rph=0.21; rg=0.07). Hence, indirect selection in favor of this trait can improve yield in coffee. Coffee berry disease mainly attacks fruits and beans, however, the disease showed negative phenotypic and genotypic correlation with fruit and bean quantitative traits. Average inter-node length of main stem, number of nodes on primary branches, Number of primary branches, fruit width and thickness, bean width and thickness and hundred beans weight exerted positive direct effect and also had positive genotypic association with yield per tree, while the other traits affected yield indirectly, mainly through average inter-node length of primary branches production. Therefore, these traits could be used as a reliable indicator in indirect selection for higher tree yield.
VL - 9
IS - 2
ER -

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Author Information

Masreshaw Yirga

Ethiopian Institutes of Agricultural Research, Jimma Agricultural Research Center, Jimma, Ethiopia
Wosene Gebreselassie

College of Agriculture and Veterinary Medicine, Jimma University, Jimma, Ethiopia
Abush Tesfaye

International Institutes of Tropical Agriculture, Oyo Road, Ibadan, Nigeria

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APA Style

Masreshaw Yirga, Wosene Gebreselassie, Abush Tesfaye. (2021). Correlation and Path Coefficient Analysis in Coffee (Coffea arabica L.) Germplasm Accessions in Ethiopia. Science Research, 9(2), 27-34. https://doi.org/10.11648/j.sr.20210902.12

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ACS Style

Masreshaw Yirga; Wosene Gebreselassie; Abush Tesfaye. Correlation and Path Coefficient Analysis in Coffee (Coffea arabica L.) Germplasm Accessions in Ethiopia. Sci. Res. 2021, 9(2), 27-34. doi: 10.11648/j.sr.20210902.12

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AMA Style

Masreshaw Yirga, Wosene Gebreselassie, Abush Tesfaye. Correlation and Path Coefficient Analysis in Coffee (Coffea arabica L.) Germplasm Accessions in Ethiopia. Sci Res. 2021;9(2):27-34. doi: 10.11648/j.sr.20210902.12

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@article{10.11648/j.sr.20210902.12,
  author = {Masreshaw Yirga and Wosene Gebreselassie and Abush Tesfaye},
  title = {Correlation and Path Coefficient Analysis in Coffee (Coffea arabica L.) Germplasm Accessions in Ethiopia},
  journal = {Science Research},
  volume = {9},
  number = {2},
  pages = {27-34},
  doi = {10.11648/j.sr.20210902.12},
  url = {https://doi.org/10.11648/j.sr.20210902.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20210902.12},
  abstract = {Sufficient information on the nature and magnitude of traits association will facilitate effective selection and hybridization to develop high yielding coffee progenies. The study was conducted at Metu Agricultural Research Sub Center to determine the extent of association among yield and yield related traits of coffee. Sixty four Coffee (Coffea arabica L.) germplasm including two standard check varieties (74110 and 74112) were used for this study. The field experiment was superimposed during 2018 cropping seasons on six years old coffee trees, which was laid down in 8x8 simple lattice design. The orchard was managed as per the coffee agronomic production practices. Data on 19 quantitative traits were recorded from four representative trees per row for each accession. Yield per tree exhibited significant (Pph=0.19; rg=0.19) and fruit thickness (rph=0.18; rg=0.15). On the other hand, number of primary branches showed positive and significant (Pph=0.23; rg=0.12) and fruit thickness (rph=0.21; rg=0.07). Hence, indirect selection in favor of this trait can improve yield in coffee. Coffee berry disease mainly attacks fruits and beans, however, the disease showed negative phenotypic and genotypic correlation with fruit and bean quantitative traits. Average inter-node length of main stem, number of nodes on primary branches, Number of primary branches, fruit width and thickness, bean width and thickness and hundred beans weight exerted positive direct effect and also had positive genotypic association with yield per tree, while the other traits affected yield indirectly, mainly through average inter-node length of primary branches production. Therefore, these traits could be used as a reliable indicator in indirect selection for higher tree yield.},
 year = {2021}
}

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