Numerical weather forecast model driven wheat blast disease early warning system for Bangladesh and Brazil
This predictive model was developed based on the analysis of historical epidemics and weather data in the northern Paraná state in Brazil and then applied to Bangladesh. Expert national epidemiological knowledge of the meteorological conditions causing infections were also employed. This system is n...
| Autor principal: | |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2019
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122574 |
| _version_ | 1855523471713370112 |
|---|---|
| author | CGIAR Research Program on Wheat |
| author_browse | CGIAR Research Program on Wheat |
| author_facet | CGIAR Research Program on Wheat |
| author_sort | CGIAR Research Program on Wheat |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This predictive model was developed based on the analysis of historical epidemics and weather data in the northern Paraná state in Brazil and then applied to Bangladesh. Expert national epidemiological knowledge of the meteorological conditions causing infections were also employed. This system is nationally endorsed for use in both countries. |
| format | Informe técnico |
| id | CGSpace122574 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | CGSpace1225742023-03-14T11:54:46Z Numerical weather forecast model driven wheat blast disease early warning system for Bangladesh and Brazil CGIAR Research Program on Wheat models development rural development data wheat analysis systems weather knowledge agrifood systems weather data epidemics model countries This predictive model was developed based on the analysis of historical epidemics and weather data in the northern Paraná state in Brazil and then applied to Bangladesh. Expert national epidemiological knowledge of the meteorological conditions causing infections were also employed. This system is nationally endorsed for use in both countries. 2019-12-31 2022-10-06T14:01:43Z 2022-10-06T14:01:43Z Report https://hdl.handle.net/10568/122574 en Open Access application/pdf CGIAR Research Program on Wheat. 2019. Numerical weather forecast model driven wheat blast disease early warning system for Bangladesh and Brazil. Reported in Wheat Annual Report 2019. Innovations. |
| spellingShingle | models development rural development data wheat analysis systems weather knowledge agrifood systems weather data epidemics model countries CGIAR Research Program on Wheat Numerical weather forecast model driven wheat blast disease early warning system for Bangladesh and Brazil |
| title | Numerical weather forecast model driven wheat blast disease early warning system for Bangladesh and Brazil |
| title_full | Numerical weather forecast model driven wheat blast disease early warning system for Bangladesh and Brazil |
| title_fullStr | Numerical weather forecast model driven wheat blast disease early warning system for Bangladesh and Brazil |
| title_full_unstemmed | Numerical weather forecast model driven wheat blast disease early warning system for Bangladesh and Brazil |
| title_short | Numerical weather forecast model driven wheat blast disease early warning system for Bangladesh and Brazil |
| title_sort | numerical weather forecast model driven wheat blast disease early warning system for bangladesh and brazil |
| topic | models development rural development data wheat analysis systems weather knowledge agrifood systems weather data epidemics model countries |
| url | https://hdl.handle.net/10568/122574 |
| work_keys_str_mv | AT cgiarresearchprogramonwheat numericalweatherforecastmodeldrivenwheatblastdiseaseearlywarningsystemforbangladeshandbrazil |