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 (rph=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 (P<0.05) phenotypic and genotypic correlations with fruit width (rph=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.
| 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. |
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Copyright © The Author(s), 2021. Published by Science Publishing Group |
Coffea arabica L., Correlation, Path Coefficient
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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
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
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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Download@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}
}
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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