Early Warning System to mitigate wheat blast in Bangladesh
The preliminary results suggest that the Decision Support System for Agro-technology Transfer (DSSAT)-NWheat model developed can satisfactorily simulate the growth and yield of wheat grown given coupled biotic stresses. The technology and methods applied can also potentially be applied to couple DSS...
| Autor principal: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Acceso en línea: | https://hdl.handle.net/10568/122946 |
| _version_ | 1855530467897376768 |
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| author | CGIAR Platform for Big Data in Agriculture |
| author_browse | CGIAR Platform for Big Data in Agriculture |
| author_facet | CGIAR Platform for Big Data in Agriculture |
| author_sort | CGIAR Platform for Big Data in Agriculture |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The preliminary results suggest that the Decision Support System for Agro-technology Transfer (DSSAT)-NWheat model developed can satisfactorily simulate the growth and yield of wheat grown given coupled biotic stresses. The technology and methods applied can also potentially be applied to couple DSSAT models to other disease models |
| format | Informe técnico |
| id | CGSpace122946 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | CGSpace1229462023-03-14T12:06:47Z Early Warning System to mitigate wheat blast in Bangladesh CGIAR Platform for Big Data in Agriculture models technology development growth technology transfer rural development methods wheat systems agrifood systems decision support model The preliminary results suggest that the Decision Support System for Agro-technology Transfer (DSSAT)-NWheat model developed can satisfactorily simulate the growth and yield of wheat grown given coupled biotic stresses. The technology and methods applied can also potentially be applied to couple DSSAT models to other disease models 2019-12-31 2022-10-06T14:14:19Z 2022-10-06T14:14:19Z Report https://hdl.handle.net/10568/122946 en Open Access application/pdf CGIAR Platform for Big Data in Agriculture. 2019. Early Warning System to mitigate wheat blast in Bangladesh. Reported in Platform for Big Data in Agriculture Annual Report 2019. Innovations. |
| spellingShingle | models technology development growth technology transfer rural development methods wheat systems agrifood systems decision support model CGIAR Platform for Big Data in Agriculture Early Warning System to mitigate wheat blast in Bangladesh |
| title | Early Warning System to mitigate wheat blast in Bangladesh |
| title_full | Early Warning System to mitigate wheat blast in Bangladesh |
| title_fullStr | Early Warning System to mitigate wheat blast in Bangladesh |
| title_full_unstemmed | Early Warning System to mitigate wheat blast in Bangladesh |
| title_short | Early Warning System to mitigate wheat blast in Bangladesh |
| title_sort | early warning system to mitigate wheat blast in bangladesh |
| topic | models technology development growth technology transfer rural development methods wheat systems agrifood systems decision support model |
| url | https://hdl.handle.net/10568/122946 |
| work_keys_str_mv | AT cgiarplatformforbigdatainagriculture earlywarningsystemtomitigatewheatblastinbangladesh |