Behavioral intelligence in plant breeding: A framework for qualitative research
This issue brief introduces a conceptual framework to describe the factors that inform farmers’ varietal uptake choices, by integrating choice behavior alongside more contextual and technical aspects of seed uptake. The framework was developed to support qualitative data analysis for generating beha...
| Autores principales: | , , |
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| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
International Food Policy Research Institute
2023
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| Acceso en línea: | https://hdl.handle.net/10568/138050 |
| _version_ | 1855529432929796096 |
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| author | Cavicchioli, Martina Kramer, Berber Trachtman, Carly |
| author_browse | Cavicchioli, Martina Kramer, Berber Trachtman, Carly |
| author_facet | Cavicchioli, Martina Kramer, Berber Trachtman, Carly |
| author_sort | Cavicchioli, Martina |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This issue brief introduces a conceptual framework to describe the factors that inform farmers’ varietal uptake choices, by integrating choice behavior alongside more contextual and technical aspects of seed uptake. The framework was developed to support qualitative data analysis for generating behavioral intelligence about farmers’ decision-making about crop varieties, which may be of use to government agencies, nongovernmental organizations, and companies that operate in the seed sector. |
| format | Brief |
| id | CGSpace138050 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1380502025-11-06T06:39:05Z Behavioral intelligence in plant breeding: A framework for qualitative research Cavicchioli, Martina Kramer, Berber Trachtman, Carly This issue brief introduces a conceptual framework to describe the factors that inform farmers’ varietal uptake choices, by integrating choice behavior alongside more contextual and technical aspects of seed uptake. The framework was developed to support qualitative data analysis for generating behavioral intelligence about farmers’ decision-making about crop varieties, which may be of use to government agencies, nongovernmental organizations, and companies that operate in the seed sector. 2023-12-31 2024-01-18T18:21:18Z 2024-01-18T18:21:18Z Brief https://hdl.handle.net/10568/138050 en https://doi.org/10.2499/p15738coll2.134158 https://hdl.handle.net/10568/135068 https://doi.org/10.1007/s12571-023-01403-2 https://hdl.handle.net/10568/128427 Open Access application/pdf International Food Policy Research Institute Cavicchioli, Martina; Kramer, Berber; and Trachtman, Carly. 2023. Behavioral intelligence in plant breeding: A framework for qualitative research. IFPRI Issue Brief December 2023. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/138050 |
| spellingShingle | Cavicchioli, Martina Kramer, Berber Trachtman, Carly Behavioral intelligence in plant breeding: A framework for qualitative research |
| title | Behavioral intelligence in plant breeding: A framework for qualitative research |
| title_full | Behavioral intelligence in plant breeding: A framework for qualitative research |
| title_fullStr | Behavioral intelligence in plant breeding: A framework for qualitative research |
| title_full_unstemmed | Behavioral intelligence in plant breeding: A framework for qualitative research |
| title_short | Behavioral intelligence in plant breeding: A framework for qualitative research |
| title_sort | behavioral intelligence in plant breeding a framework for qualitative research |
| url | https://hdl.handle.net/10568/138050 |
| work_keys_str_mv | AT cavicchiolimartina behavioralintelligenceinplantbreedingaframeworkforqualitativeresearch AT kramerberber behavioralintelligenceinplantbreedingaframeworkforqualitativeresearch AT trachtmancarly behavioralintelligenceinplantbreedingaframeworkforqualitativeresearch |