Measuring varietal success on-farm with rank-based metrics
This one-page brief presents how the 1000FARMS team is developing and validating rank-based indicators to better interpret data from on-farm variety testing using the tricot approach. By analyzing farmers' rankings of different varieties, the team is building new metrics—such as rank agreement, rank...
| Main Authors: | , |
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| Format: | Brief |
| Language: | Inglés |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/178704 |
| _version_ | 1855535524844929024 |
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| author | 1000FARMS Platform van Heerwaarden, Joost |
| author_browse | 1000FARMS Platform van Heerwaarden, Joost |
| author_facet | 1000FARMS Platform van Heerwaarden, Joost |
| author_sort | 1000FARMS Platform |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This one-page brief presents how the 1000FARMS team is developing and validating rank-based indicators to better interpret data from on-farm variety testing using the tricot approach. By analyzing farmers' rankings of different varieties, the team is building new metrics—such as rank agreement, rank distance, and probability of outperforming a reference variety—to capture varietal performance from a user-centered perspective. The metrics allow researchers to compare results across contexts and seasons, and provide a more nuanced picture of success than traditional indicators. The brief explains how these indicators are calculated and shows how they are being applied to multiple datasets, helping breeders and decision-makers make more informed selections based on farmers’ preferences. |
| format | Brief |
| id | CGSpace178704 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1787042025-12-11T02:12:30Z Measuring varietal success on-farm with rank-based metrics 1000FARMS Platform van Heerwaarden, Joost on-farm research farming systems citizen science This one-page brief presents how the 1000FARMS team is developing and validating rank-based indicators to better interpret data from on-farm variety testing using the tricot approach. By analyzing farmers' rankings of different varieties, the team is building new metrics—such as rank agreement, rank distance, and probability of outperforming a reference variety—to capture varietal performance from a user-centered perspective. The metrics allow researchers to compare results across contexts and seasons, and provide a more nuanced picture of success than traditional indicators. The brief explains how these indicators are calculated and shows how they are being applied to multiple datasets, helping breeders and decision-makers make more informed selections based on farmers’ preferences. 2025-03 2025-12-10T14:25:21Z 2025-12-10T14:25:21Z Brief https://hdl.handle.net/10568/178704 en Open Access application/pdf 1000FARMS Platform; van Heerwaarden, J. (2025) Measuring varietal success on-farm with rank-based metrics. 2 p. |
| spellingShingle | on-farm research farming systems citizen science 1000FARMS Platform van Heerwaarden, Joost Measuring varietal success on-farm with rank-based metrics |
| title | Measuring varietal success on-farm with rank-based metrics |
| title_full | Measuring varietal success on-farm with rank-based metrics |
| title_fullStr | Measuring varietal success on-farm with rank-based metrics |
| title_full_unstemmed | Measuring varietal success on-farm with rank-based metrics |
| title_short | Measuring varietal success on-farm with rank-based metrics |
| title_sort | measuring varietal success on farm with rank based metrics |
| topic | on-farm research farming systems citizen science |
| url | https://hdl.handle.net/10568/178704 |
| work_keys_str_mv | AT 1000farmsplatform measuringvarietalsuccessonfarmwithrankbasedmetrics AT vanheerwaardenjoost measuringvarietalsuccessonfarmwithrankbasedmetrics |