Using rankings to evaluate genetic performance and gain across space and time
This poster showcases how data collected through the tricot approach can be used to estimate genetic gain in crop breeding programs. It explains the assumptions, methods, and implications of calculating genetic gain from decentralized on-farm testing. The work, developed as part of the 1000FARMS Pla...
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| Formato: | Póster |
| Lenguaje: | Inglés |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/179502 |
| _version_ | 1855536773391712256 |
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| author | 1000FARMS Platform |
| author_browse | 1000FARMS Platform |
| author_facet | 1000FARMS Platform |
| author_sort | 1000FARMS Platform |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This poster showcases how data collected through the tricot approach can be used to estimate genetic gain in crop breeding programs. It explains the assumptions, methods, and implications of calculating genetic gain from decentralized on-farm testing. The work, developed as part of the 1000FARMS Platform project, highlights how integrating farmer-generated data can support more responsive and adaptive breeding decisions. |
| format | Poster |
| id | CGSpace179502 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1795022026-01-09T02:13:52Z Using rankings to evaluate genetic performance and gain across space and time 1000FARMS Platform participatory research on-farm research genetic gain This poster showcases how data collected through the tricot approach can be used to estimate genetic gain in crop breeding programs. It explains the assumptions, methods, and implications of calculating genetic gain from decentralized on-farm testing. The work, developed as part of the 1000FARMS Platform project, highlights how integrating farmer-generated data can support more responsive and adaptive breeding decisions. 2025-09 2026-01-08T09:17:54Z 2026-01-08T09:17:54Z Poster https://hdl.handle.net/10568/179502 en Open Access application/pdf 1000FARMS Platform; (2025) Using rankings to evaluate genetic performance and gain across space and time. 1 p. |
| spellingShingle | participatory research on-farm research genetic gain 1000FARMS Platform Using rankings to evaluate genetic performance and gain across space and time |
| title | Using rankings to evaluate genetic performance and gain across space and time |
| title_full | Using rankings to evaluate genetic performance and gain across space and time |
| title_fullStr | Using rankings to evaluate genetic performance and gain across space and time |
| title_full_unstemmed | Using rankings to evaluate genetic performance and gain across space and time |
| title_short | Using rankings to evaluate genetic performance and gain across space and time |
| title_sort | using rankings to evaluate genetic performance and gain across space and time |
| topic | participatory research on-farm research genetic gain |
| url | https://hdl.handle.net/10568/179502 |
| work_keys_str_mv | AT 1000farmsplatform usingrankingstoevaluategeneticperformanceandgainacrossspaceandtime |