Numerical weather forecast model driven wheat blast disease early warning system for Bangladesh and Brazil

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cg.contributor.crpWheat
cg.coverage.countryBangladesh
cg.coverage.countryBrazil
cg.coverage.iso3166-alpha2BD
cg.coverage.iso3166-alpha2BR
cg.coverage.regionSouthern Asia
cg.coverage.regionSouth America
cg.numberIN-1515en
dc.contributor.authorCGIAR Research Program on Wheaten
dc.date.accessioned2022-10-06T14:01:43Zen
dc.date.available2022-10-06T14:01:43Zen
dc.identifier.urihttps://hdl.handle.net/10568/122574
dc.titleNumerical weather forecast model driven wheat blast disease early warning system for Bangladesh and Brazilen
dcterms.abstractThis 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.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationCGIAR 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.en
dcterms.isPartOfCRP Innovationen
dcterms.issued2019-12-31
dcterms.languageen
dcterms.licenseOther
dcterms.subjectmodelsen
dcterms.subjectdevelopmenten
dcterms.subjectrural developmenten
dcterms.subjectdataen
dcterms.subjectwheaten
dcterms.subjectanalysisen
dcterms.subjectsystemsen
dcterms.subjectweatheren
dcterms.subjectknowledgeen
dcterms.subjectagrifood systemsen
dcterms.subjectweather dataen
dcterms.subjectepidemicsen
dcterms.subjectmodelen
dcterms.subjectcountriesen
dcterms.typeReport

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