Calibration and validation of the FAO AquaCrop water productivity model for cassava (Manihot esculenta Crantz)

cg.contactjoost.wellens@uliege.been_US
cg.contributor.centerInternational Center for Tropical Agriculture - CIATen_US
cg.contributor.centerAgricultural Research Council of Nigeria, National Root Crops Research Institute - ARCN-NRCRIen_US
cg.contributor.centerInternational Atomic Energy Agency - IAEAen_US
cg.contributor.centerCatholic University Leuven - KULen_US
cg.contributor.centerInternational Fertilizer Development Center - IFDCen_US
cg.contributor.centerUniversity of Liège, Faculty of Gembloux Agro‐Bio Tech - ULIEGE - Gembloux Agro-Bio Techen_US
cg.contributor.centerUniversity of Liège - ULIEGEen_US
cg.contributor.centerAfrican Plant Nutrition Institute - APNIen_US
cg.contributor.centerUniversité de Cordoue - UCOen_US
cg.contributor.centerSpanish National Research Council, Institute for Sustainable Agriculture - CSIC-IASen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.creator.idBecerra, Augusto: 0000-0003-3520-2270en_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.agwat.2022.107491en_US
cg.isijournalISI Journalen_US
cg.journalAgriculture Water Managementen_US
cg.subject.agrovocbiomassen_US
cg.subject.agrovoccanopy coveren_US
cg.subject.agrovocwest africaen_US
cg.subject.agrovocsouth americaen_US
cg.subject.agrovoccassavaen_US
cg.volume263en_US
dc.contributorRaes, Dirken_US
dc.contributorFereres, Eliasen_US
dc.contributorDiels, Janen_US
dc.contributorCoppye, Ceciliaen_US
dc.contributorAdiele Joy, Geraldineen_US
dc.contributorEzui, Kodjovien_US
dc.contributorBecerra, Augustoen_US
dc.contributorSelvaraj Gomez, Michaelen_US
dc.contributorDercon, Gerden_US
dc.contributorKheng Heng, Leeen_US
dc.creatorWellens, Joosten_US
dc.date.accessioned2025-05-23T19:29:15Z
dc.date.available2025-05-23T19:29:15Z
dc.description.abstractFAO’s water-driven crop growth simulation model, AquaCrop, was calibrated and validated for cassava (Manihot esculenta Crantz). Existing datasets, used in similar published works, were shared covering several years and regions (Colombia, Nigeria and Togo). Different varieties were tested for the case of Colombia and a single variety (TME-419) for Nigeria and Togo. Overall calibrated biomass simulations resulted in an R2 of 0.96 and a RMSE of 1.99 tonne DM/ha. As for dry tuber yield estimates, it was not possible to find a single harvest index for the ensembled varieties given their varying characteristics and limited data per variety. However, for the TME-419 variety (Nigeria and Togo) calibrated root tuber simulations yielded and R2 of 0.94 and a RMSE of 2.37 tonne DM/ha. A single crop-file was developed for different cassava varieties and agro-ecological regions, which can be applied with confidence to further study cassava related food security, water productivity, improved agronomic practices, etc.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/02165362c6ba4f0a7ba6f07f30415fa2en_US
dc.identifier.citationJoost Wellens, Dirk Raes, Elias Fereres, Jan Diels, Cecilia Coppye, Geraldine Adiele Joy, Kodjovi Ezui, Augusto Becerra, Michael Selvaraj Gomez, Gerd Dercon, Lee Kheng Heng. (1/4/2022). Calibration and validation of the FAO AquaCrop water productivity model for cassava (Manihot esculenta Crantz). Agriculture Water Management, 263.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/69972
dc.languageenen_US
dc.publisherElsevieren_US
dc.rightsCC-BY-NC-ND-4.0en_US
dc.sourceAgriculture Water Management;263,(2022)en_US
dc.subjectcrop modelen_US
dc.subjectyielden_US
dc.titleCalibration and validation of the FAO AquaCrop water productivity model for cassava (Manihot esculenta Crantz)en_US
dc.typeJournal Articleen_US
dcterms.available2022-01-20en_US
dcterms.issued2022-04-01en_US
mel.impact-factor5.9en_US

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