Tool for optimum planting window selection NG-Akilimo-SAA: manual for executing and managing the decision support tool for variety selection and planting window recommendation
Seasonal variability is a major constraint for many farmers cultivating maize under rainfed conditions in Northern Nigeria. Climate change is resulting in more erratic seasonal weather patterns and limiting the ability of farmers to rely on previous knowledge of the farming system where they operate...
| Autores principales: | , , , , , |
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| Formato: | Manual |
| Lenguaje: | Inglés |
| Publicado: |
International Institute of Tropical Agriculture
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/138597 |
| _version_ | 1855525444389961728 |
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| author | Benito, E.G. Peter, H. Tofa, A.I. Tijjani, K. Kamara, A. Kreye, C. |
| author_browse | Benito, E.G. Kamara, A. Kreye, C. Peter, H. Tijjani, K. Tofa, A.I. |
| author_facet | Benito, E.G. Peter, H. Tofa, A.I. Tijjani, K. Kamara, A. Kreye, C. |
| author_sort | Benito, E.G. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Seasonal variability is a major constraint for many farmers cultivating maize under rainfed conditions in Northern Nigeria. Climate change is resulting in more erratic seasonal weather patterns and limiting the ability of farmers to rely on previous knowledge of the farming system where they operate. The Variety and Planting Window Recommendation Decision Support Tool (DST) for the EiA SAA - Nigeria use case aims to provide farmers with spatially explicit recommendations on optimal variety and planting window combinations. The recommendations are based on DSSAT v47 using a spatialization framework and consuming data from iSDA soil, CHIRPSv2 and ECMWF AgERA5. Additionally, calibrated cultivar coefficients are used to reproduce the local behavior of maize varieties in the target area. The tool is expected to be updated every cropping season (year), to account for the previous year’s conditions on the recommendations. |
| format | Manual |
| id | CGSpace138597 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | International Institute of Tropical Agriculture |
| publisherStr | International Institute of Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace1385972024-11-07T09:40:27Z Tool for optimum planting window selection NG-Akilimo-SAA: manual for executing and managing the decision support tool for variety selection and planting window recommendation Benito, E.G. Peter, H. Tofa, A.I. Tijjani, K. Kamara, A. Kreye, C. maize planting climate change food security information technology nigeria Seasonal variability is a major constraint for many farmers cultivating maize under rainfed conditions in Northern Nigeria. Climate change is resulting in more erratic seasonal weather patterns and limiting the ability of farmers to rely on previous knowledge of the farming system where they operate. The Variety and Planting Window Recommendation Decision Support Tool (DST) for the EiA SAA - Nigeria use case aims to provide farmers with spatially explicit recommendations on optimal variety and planting window combinations. The recommendations are based on DSSAT v47 using a spatialization framework and consuming data from iSDA soil, CHIRPSv2 and ECMWF AgERA5. Additionally, calibrated cultivar coefficients are used to reproduce the local behavior of maize varieties in the target area. The tool is expected to be updated every cropping season (year), to account for the previous year’s conditions on the recommendations. 2023 2024-01-26T14:37:40Z 2024-01-26T14:37:40Z Manual https://hdl.handle.net/10568/138597 en Open Access application/pdf International Institute of Tropical Agriculture Benito, E.G., Peter, H., Tofa, A.I., Tijjani, K., Kamara, A. & Kreye, C. (2023). Tool for optimum planting window selection NG-Akilimo-SAA: manual for executing and managing the decision support tool for variety selection and planting window recommendation. Ibadan: IITA, (21 p.). |
| spellingShingle | maize planting climate change food security information technology nigeria Benito, E.G. Peter, H. Tofa, A.I. Tijjani, K. Kamara, A. Kreye, C. Tool for optimum planting window selection NG-Akilimo-SAA: manual for executing and managing the decision support tool for variety selection and planting window recommendation |
| title | Tool for optimum planting window selection NG-Akilimo-SAA: manual for executing and managing the decision support tool for variety selection and planting window recommendation |
| title_full | Tool for optimum planting window selection NG-Akilimo-SAA: manual for executing and managing the decision support tool for variety selection and planting window recommendation |
| title_fullStr | Tool for optimum planting window selection NG-Akilimo-SAA: manual for executing and managing the decision support tool for variety selection and planting window recommendation |
| title_full_unstemmed | Tool for optimum planting window selection NG-Akilimo-SAA: manual for executing and managing the decision support tool for variety selection and planting window recommendation |
| title_short | Tool for optimum planting window selection NG-Akilimo-SAA: manual for executing and managing the decision support tool for variety selection and planting window recommendation |
| title_sort | tool for optimum planting window selection ng akilimo saa manual for executing and managing the decision support tool for variety selection and planting window recommendation |
| topic | maize planting climate change food security information technology nigeria |
| url | https://hdl.handle.net/10568/138597 |
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