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dc.creatorAlamu, Emmanuelen_US
dc.date.accessioned2021-12-21T17:02:44Z
dc.date.available2021-12-21T17:02:44Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/e900a3616dfcf7192052157667bdc5f7en_US
dc.identifier.citationEmmanuel Alamu. (7/1/2021). Report on the Calibration and validation of NIRS calibration models developed for determination of selected end-user traits of fresh cassava roots.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/66629
dc.description.abstractCalibration models were developed for dry matter and starch content in fresh cassava roots using three sampling protocols namely, blending, grating and chopping. Blended samples had better coefficient of determination in calibration when compared with other modes of sample presentation.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.rightsCC-BY-4.0en_US
dc.subjectnirsen_US
dc.subjectcassava rootsen_US
dc.subjectfresh cassavaen_US
dc.subjectcalibration modelsen_US
dc.titleReport on the Calibration and validation of NIRS calibration models developed for determination of selected end-user traits of fresh cassava rootsen_US
dc.typeInternal Reporten_US
dcterms.available2021-01-07en_US
cg.creator.idAlamu, Emmanuel: 0000-0001-6263-1359en_US
cg.subject.agrovoccassavaen_US
cg.contributor.centerInternational Institute of Tropical Agriculture - IITAen_US
cg.contributor.centerThe French Agricultural Research Center for International Development - CIRADen_US
cg.contributor.crpCGIAR Research Program on Roots, Tubers and Bananas - RTBen_US
cg.contributor.funderBill & Melinda Gates Foundation - BMGFen_US
cg.coverage.regionGlobalen_US
cg.contactdejialamu2001@yahoo.co.uken_US
dc.identifier.statusOpen accessen_US


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