Selecting a core set of nuclear SNP markers for molecular characterization of Arabica coffee (Coffea arabica L.) genetic resources
Coffee is one of the most economically important agricultural commodities in the world. Labeling accuracy and conservation efficiency are essential for coffee germplasm management and for the exchange and utilization in breeding new varieties. However, due to its homogenous genetic background, accur...
| Autores principales: | , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Springer, Nueva York (Estados Unidos)
2021
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| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/s12686-021-01201-y https://repositorio.catie.ac.cr/handle/11554/10489 |
| _version_ | 1855489479490404352 |
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| author | Zhang, Dapeng Vega, Fernando E. Solano, William Su, Fuyuan Infante, Francisco Meinhardt, Lyndel W. |
| author_browse | Infante, Francisco Meinhardt, Lyndel W. Solano, William Su, Fuyuan Vega, Fernando E. Zhang, Dapeng |
| author_facet | Zhang, Dapeng Vega, Fernando E. Solano, William Su, Fuyuan Infante, Francisco Meinhardt, Lyndel W. |
| author_sort | Zhang, Dapeng |
| collection | Repositorio CATIE |
| description | Coffee is one of the most economically important agricultural commodities in the world. Labeling accuracy and conservation efficiency are essential for coffee germplasm management and for the exchange and utilization in breeding new varieties. However, due to its homogenous genetic background, accurate identification of Coffea arabica germplasm has not been fully achieved. Specifically, data comparison across different laboratories and genotyping platforms has not been available. Here, we report the screening of 672 candidate SNPs using Nano-Fluidic Array genotyping. Based on call rate, Minor Allele Frequency and Linkage Disequilibrium, a set of 96 SNPs were selected for genotyping C. arabica. This validated panel is suitable for use in coffee germplasm conservation and crop improvement, including varietal identification, seeds and nursery accreditation, and coffee bean authentication. |
| format | Artículo |
| id | RepoCATIE10489 |
| institution | Centro Agronómico Tropical de Investigación y Enseñanza |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer, Nueva York (Estados Unidos) |
| publisherStr | Springer, Nueva York (Estados Unidos) |
| record_format | dspace |
| spelling | RepoCATIE104892022-08-05T18:44:55Z Selecting a core set of nuclear SNP markers for molecular characterization of Arabica coffee (Coffea arabica L.) genetic resources Zhang, Dapeng Vega, Fernando E. Solano, William Su, Fuyuan Infante, Francisco Meinhardt, Lyndel W. RECURSOS GENETICOS CAFE ARABICA GERMOPLASMAS MARCADORES MOLECULARES AGRICULTURA TROPICAL PRODUCTORES CONSERVACION GENOTIPOS MEJORA DE CULTIVOS LABORATORIOS Coffee is one of the most economically important agricultural commodities in the world. Labeling accuracy and conservation efficiency are essential for coffee germplasm management and for the exchange and utilization in breeding new varieties. However, due to its homogenous genetic background, accurate identification of Coffea arabica germplasm has not been fully achieved. Specifically, data comparison across different laboratories and genotyping platforms has not been available. Here, we report the screening of 672 candidate SNPs using Nano-Fluidic Array genotyping. Based on call rate, Minor Allele Frequency and Linkage Disequilibrium, a set of 96 SNPs were selected for genotyping C. arabica. This validated panel is suitable for use in coffee germplasm conservation and crop improvement, including varietal identification, seeds and nursery accreditation, and coffee bean authentication. 2021-03-15T17:52:35Z 2021-03-15T17:52:35Z 2021 Artículo https://doi.org/10.1007/s12686-021-01201-y https://repositorio.catie.ac.cr/handle/11554/10489 en Conservation Genetics Resources info:eu-repo/semantics/restrictedAccess application/pdf Springer, Nueva York (Estados Unidos) |
| spellingShingle | RECURSOS GENETICOS CAFE ARABICA GERMOPLASMAS MARCADORES MOLECULARES AGRICULTURA TROPICAL PRODUCTORES CONSERVACION GENOTIPOS MEJORA DE CULTIVOS LABORATORIOS Zhang, Dapeng Vega, Fernando E. Solano, William Su, Fuyuan Infante, Francisco Meinhardt, Lyndel W. Selecting a core set of nuclear SNP markers for molecular characterization of Arabica coffee (Coffea arabica L.) genetic resources |
| title | Selecting a core set of nuclear SNP markers for molecular characterization of Arabica coffee (Coffea arabica L.) genetic resources |
| title_full | Selecting a core set of nuclear SNP markers for molecular characterization of Arabica coffee (Coffea arabica L.) genetic resources |
| title_fullStr | Selecting a core set of nuclear SNP markers for molecular characterization of Arabica coffee (Coffea arabica L.) genetic resources |
| title_full_unstemmed | Selecting a core set of nuclear SNP markers for molecular characterization of Arabica coffee (Coffea arabica L.) genetic resources |
| title_short | Selecting a core set of nuclear SNP markers for molecular characterization of Arabica coffee (Coffea arabica L.) genetic resources |
| title_sort | selecting a core set of nuclear snp markers for molecular characterization of arabica coffee coffea arabica l genetic resources |
| topic | RECURSOS GENETICOS CAFE ARABICA GERMOPLASMAS MARCADORES MOLECULARES AGRICULTURA TROPICAL PRODUCTORES CONSERVACION GENOTIPOS MEJORA DE CULTIVOS LABORATORIOS |
| url | https://doi.org/10.1007/s12686-021-01201-y https://repositorio.catie.ac.cr/handle/11554/10489 |
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