Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments"
A panel of fully genotyped 400 wheat lines derived from genebank accessions in two managed fields in the Ethiopian highlands in 2012 and 2013 were evaluated. We collected phenotypic data and farmer evaluation data in this trial. For the decentralized trial, we distributed a subset of 41 genotypes as...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
| Publicado: |
Bioversity International
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/108545 |
| _version_ | 1855540707477946368 |
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| author | Sousa, Kauê de Etten, Jacob van Poland, Jesse A. Fadda, Carlo Jannink, Jean-Luc Gebrehawaryat, Yosef Lakew, Basazen Fantahun Mengistu, Dejene Kassahun Pè, Mario Enrico Solberg, Svein Ø. Dell’Acqua, Matteo |
| author_browse | Dell’Acqua, Matteo Etten, Jacob van Fadda, Carlo Gebrehawaryat, Yosef Jannink, Jean-Luc Lakew, Basazen Fantahun Mengistu, Dejene Kassahun Poland, Jesse A. Pè, Mario Enrico Solberg, Svein Ø. Sousa, Kauê de |
| author_facet | Sousa, Kauê de Etten, Jacob van Poland, Jesse A. Fadda, Carlo Jannink, Jean-Luc Gebrehawaryat, Yosef Lakew, Basazen Fantahun Mengistu, Dejene Kassahun Pè, Mario Enrico Solberg, Svein Ø. Dell’Acqua, Matteo |
| author_sort | Sousa, Kauê de |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | A panel of fully genotyped 400 wheat lines derived from genebank accessions in two managed fields in the Ethiopian highlands in 2012 and 2013 were evaluated. We collected phenotypic data and farmer evaluation data in this trial. For the decentralized trial, we distributed a subset of 41 genotypes as packaged sets containing incomplete blocks of three genotypes, plus one commercial variety for each farmer, following the “tricot” citizen science approach. We distributed these packages to 1,165 farmers who planted them on their farms across three regions of Ethiopia. Analyzing data from the centralized and decentralized trials in a side-by-side comparison, we evaluated if our approach can increase genetic gain in marginal crop production environments unlocking the full potential of genomics assisted breeding. For the full replication workflow please visit the GitHub repository (https://github.com/agrobioinfoservices/tricot-genomic). |
| format | Conjunto de datos |
| id | CGSpace108545 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Bioversity International |
| publisherStr | Bioversity International |
| record_format | dspace |
| spelling | CGSpace1085452024-09-09T10:04:48Z Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments" Sousa, Kauê de Etten, Jacob van Poland, Jesse A. Fadda, Carlo Jannink, Jean-Luc Gebrehawaryat, Yosef Lakew, Basazen Fantahun Mengistu, Dejene Kassahun Pè, Mario Enrico Solberg, Svein Ø. Dell’Acqua, Matteo abiotic stress estrés abiotico breeding mejora climate change cambio climatico biodiversity biodiversidad participatory research investigacion participativa plant breeding fitomejoramiento triticum durum wheat trigo A panel of fully genotyped 400 wheat lines derived from genebank accessions in two managed fields in the Ethiopian highlands in 2012 and 2013 were evaluated. We collected phenotypic data and farmer evaluation data in this trial. For the decentralized trial, we distributed a subset of 41 genotypes as packaged sets containing incomplete blocks of three genotypes, plus one commercial variety for each farmer, following the “tricot” citizen science approach. We distributed these packages to 1,165 farmers who planted them on their farms across three regions of Ethiopia. Analyzing data from the centralized and decentralized trials in a side-by-side comparison, we evaluated if our approach can increase genetic gain in marginal crop production environments unlocking the full potential of genomics assisted breeding. For the full replication workflow please visit the GitHub repository (https://github.com/agrobioinfoservices/tricot-genomic). 2020-05 2020-06-22T02:50:32Z 2020-06-22T02:50:32Z Dataset https://hdl.handle.net/10568/108545 en Open Access Bioversity International de Sousa, K.; van Etten, J.; Poland, J.; Fadda, C.; Jannink, JL.; Gebrehawaryat, Y.; Lakew, B.F.; Mengistu, D.K.; Pè, M.E.; Solberg, S.Ø.; Dell'Acqua, M., 2020 Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments", https://doi.org/10.7910/DVN/OEZGVP, Harvard Dataverse, V1, UNF:6:QUZ55x4U3JRGMDb7PNfHpQ== [fileUNF] |
| spellingShingle | abiotic stress estrés abiotico breeding mejora climate change cambio climatico biodiversity biodiversidad participatory research investigacion participativa plant breeding fitomejoramiento triticum durum wheat trigo Sousa, Kauê de Etten, Jacob van Poland, Jesse A. Fadda, Carlo Jannink, Jean-Luc Gebrehawaryat, Yosef Lakew, Basazen Fantahun Mengistu, Dejene Kassahun Pè, Mario Enrico Solberg, Svein Ø. Dell’Acqua, Matteo Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments" |
| title | Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments" |
| title_full | Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments" |
| title_fullStr | Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments" |
| title_full_unstemmed | Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments" |
| title_short | Replication Data for: "Data-driven decentralized breeding increases genetic gain in challenging crop production environments" |
| title_sort | replication data for data driven decentralized breeding increases genetic gain in challenging crop production environments |
| topic | abiotic stress estrés abiotico breeding mejora climate change cambio climatico biodiversity biodiversidad participatory research investigacion participativa plant breeding fitomejoramiento triticum durum wheat trigo |
| url | https://hdl.handle.net/10568/108545 |
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