Agro-morphological characterization of Arabica coffee cultivars in Burundi
Background and Objective: Arabica coffee is an important beverage crop in world trade. The crop is gaining increasing importance in Burundi as an export crop. This study aimed to evaluate diversity among coffee cultivars based on quantitative agro-morphological traits for developing superior cultiva...
| Autores principales: | , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Science Alert
2021
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/114843 |
| _version_ | 1855542146583494656 |
|---|---|
| author | Ndikumana, J. Mwangi, M. Wainaina, C. Kufa Obso, T. |
| author_browse | Kufa Obso, T. Mwangi, M. Ndikumana, J. Wainaina, C. |
| author_facet | Ndikumana, J. Mwangi, M. Wainaina, C. Kufa Obso, T. |
| author_sort | Ndikumana, J. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Background and Objective: Arabica coffee is an important beverage crop in world trade. The crop is gaining increasing importance in Burundi as an export crop. This study aimed to evaluate diversity among coffee cultivars based on quantitative agro-morphological traits for developing superior cultivars in Burundi. Materials and Methods: Fifteen coffee accessions including five commercial cultivars) were used in the study. From each accession, data were collected from three randomly selected trees on 17 quantitative agro-morphological traits and subjected to various statistical analyses including, analysis of variance (ANOVA), PCA biplot and cluster analysis. Results: The analysis of variance showed significant differences (p<0.05) among the accessions for most of the quantitative traits studied. Considering the number of fruits per internode and percentage of fruit-bearing primary branches, the highest yielding accessions were SL28, Mysore and S795. PCA showed that four principal components namely, PC1(33.70), PC2(30.57), PC3(10.21) and PC4(9.15) explained about 83.63% of the total variation. Cluster and distance analysis of quantitative traits revealed the existence of three different groups. The number of accessions in each group was 3, 3 and 9 for clusters I, II and III respectively. The maximum distance was seen between clusters I and II (88) while the minimum was seen between I and III (23). Conclusion: The results show wide diversity among the 15 coffee genotypes grown in Burundi concerning most quantitative morphological traits studied. The genotypes were grouped into three clusters where, Cluster II and III contained genotypes with valuable quantitative agronomic traits, while most of the accessions in cluster I exhibited poor agronomic performance. |
| format | Journal Article |
| id | CGSpace114843 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Science Alert |
| publisherStr | Science Alert |
| record_format | dspace |
| spelling | CGSpace1148432025-11-11T11:06:40Z Agro-morphological characterization of Arabica coffee cultivars in Burundi Ndikumana, J. Mwangi, M. Wainaina, C. Kufa Obso, T. coffea arabica morphology diversity analysis quantitative trait loci agronomy burundi Background and Objective: Arabica coffee is an important beverage crop in world trade. The crop is gaining increasing importance in Burundi as an export crop. This study aimed to evaluate diversity among coffee cultivars based on quantitative agro-morphological traits for developing superior cultivars in Burundi. Materials and Methods: Fifteen coffee accessions including five commercial cultivars) were used in the study. From each accession, data were collected from three randomly selected trees on 17 quantitative agro-morphological traits and subjected to various statistical analyses including, analysis of variance (ANOVA), PCA biplot and cluster analysis. Results: The analysis of variance showed significant differences (p<0.05) among the accessions for most of the quantitative traits studied. Considering the number of fruits per internode and percentage of fruit-bearing primary branches, the highest yielding accessions were SL28, Mysore and S795. PCA showed that four principal components namely, PC1(33.70), PC2(30.57), PC3(10.21) and PC4(9.15) explained about 83.63% of the total variation. Cluster and distance analysis of quantitative traits revealed the existence of three different groups. The number of accessions in each group was 3, 3 and 9 for clusters I, II and III respectively. The maximum distance was seen between clusters I and II (88) while the minimum was seen between I and III (23). Conclusion: The results show wide diversity among the 15 coffee genotypes grown in Burundi concerning most quantitative morphological traits studied. The genotypes were grouped into three clusters where, Cluster II and III contained genotypes with valuable quantitative agronomic traits, while most of the accessions in cluster I exhibited poor agronomic performance. 2021 2021-09-01T10:01:57Z 2021-09-01T10:01:57Z Journal Article https://hdl.handle.net/10568/114843 en Open Access application/pdf Science Alert Ndikumana, J., Mwangi, M., Wainaina, C. & Kufa Obso, T. (2021). Agro-morphological characterization of Arabica coffee cultivars in Burundi. International Journal of Plant Breeding and Genetics, 15(1), 14-23. |
| spellingShingle | coffea arabica morphology diversity analysis quantitative trait loci agronomy burundi Ndikumana, J. Mwangi, M. Wainaina, C. Kufa Obso, T. Agro-morphological characterization of Arabica coffee cultivars in Burundi |
| title | Agro-morphological characterization of Arabica coffee cultivars in Burundi |
| title_full | Agro-morphological characterization of Arabica coffee cultivars in Burundi |
| title_fullStr | Agro-morphological characterization of Arabica coffee cultivars in Burundi |
| title_full_unstemmed | Agro-morphological characterization of Arabica coffee cultivars in Burundi |
| title_short | Agro-morphological characterization of Arabica coffee cultivars in Burundi |
| title_sort | agro morphological characterization of arabica coffee cultivars in burundi |
| topic | coffea arabica morphology diversity analysis quantitative trait loci agronomy burundi |
| url | https://hdl.handle.net/10568/114843 |
| work_keys_str_mv | AT ndikumanaj agromorphologicalcharacterizationofarabicacoffeecultivarsinburundi AT mwangim agromorphologicalcharacterizationofarabicacoffeecultivarsinburundi AT wainainac agromorphologicalcharacterizationofarabicacoffeecultivarsinburundi AT kufaobsot agromorphologicalcharacterizationofarabicacoffeecultivarsinburundi |