PRA document for cassava green mite (Mononychellus tanajoa)

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cg.contactr.hanna@cgiar.orgen_US
cg.contributor.centerInternational Institute of Tropical Agriculture - IITAen_US
cg.contributor.crpCGIAR Research Program on Roots, Tubers and Bananas - RTBen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.coverage.regionGlobalen_US
cg.date.embargo-end-dateTimelessen_US
cg.subject.agrovocclimate changeen_US
dc.creatorHanna, Rachiden_US
dc.date.accessioned2021-04-26T19:46:27Z
dc.date.available2021-04-26T19:46:27Z
dc.description.abstractDevelopment of process-based phenology model for M. tanajoa, using ILCYM software developed by CIP, generated from data collected under five constant temperatures (16, 21, 26, 31, and 36°C), with relative humidity of ~75% and L12:D12 photoperiod. This phenology model was validated with similar data generated under three sets of fluctuating temperatures (long dry seasons, long rainy season and short rainy season). In turn, we used ILCYM to map M. tanajoa distribution and abundance under current and future climate scenarios using 2000 and 2050 WorldClim databaseen_US
dc.formatDOCXen_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationRachid Hanna. (30/11/2017). PRA document for cassava green mite (Mononychellus tanajoa).en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/12959
dc.languageenen_US
dc.rightsCopyrighted; all rights reserveden_US
dc.subjectpest risk analysisen_US
dc.subjectcassava green miteen_US
dc.subjectCassavaen_US
dc.titlePRA document for cassava green mite (Mononychellus tanajoa)en_US
dc.typeInternal Reporten_US
dcterms.available2017-11-30en_US

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