Baseline simulation for global wheat production with CIMMYT mega-environment specific cultivars

cg.contacts.gbegbelegbe@cgiar.orgen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInternational Food Policy Research Institute - IFPRIen_US
cg.contributor.centerInternational Maize and Wheat Improvement Center - CIMMYTen_US
cg.contributor.centerWorld Agroforestry Center - ICRAFen_US
cg.contributor.centerThe French Agricultural Research Center for International Development - CIRADen_US
cg.contributor.centerUniversity of Florida - UFen_US
cg.contributor.centerThe World Bank - WBen_US
cg.contributor.centerThe James Hutton Institute - JHIen_US
cg.contributor.centerUniversity of Illinois Urbana-Champaignen_US
cg.contributor.centerAPEC Climate Centeren_US
cg.contributor.funderInternational Food Policy Research Institute - IFPRIen_US
cg.contributor.funderCGIAR Research Program on Climate Change, Agriculture and Food Security - CCAFSen_US
cg.contributor.funderCGIAR Research Program on Wheat - WHEATen_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.idGbegbelegbe, Sika: 0000-0001-6373-6195en_US
cg.creator.idAdam, Myriam: 0000-0002-8873-6762en_US
cg.creator.idAbdalla, Osman: 0000-0003-1123-6257en_US
cg.creator.idSonder, Kai: 0000-0001-9672-5361en_US
cg.date.embargo-end-dateTimelessen_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.fcr.2016.06.010en_US
cg.isijournalISI Journalen_US
cg.issn0378-4290en_US
cg.journalField Crops Researchen_US
cg.subject.agrovocWheaten_US
cg.volume202en_US
dc.contributorCammarano, D.en_US
dc.contributorAsseng, Sentholden_US
dc.contributorRobertson, Richarden_US
dc.contributorChung, U.en_US
dc.contributorAdam, Myriamen_US
dc.contributorAbdalla, Osmanen_US
dc.contributorPayne, Thomasen_US
dc.contributorReynolds, Matthewen_US
dc.contributorSonder, Kaien_US
dc.contributorShiferaw, B.en_US
dc.contributorNelson, Geralden_US
dc.creatorGbegbelegbe, Sikaen_US
dc.date.accessioned2022-01-20T20:16:57Z
dc.date.available2022-01-20T20:16:57Z
dc.description.abstractClimate change is expected to impact global food supply and food security by affecting growing conditions for agricultural production. Process-based dynamic growth models are important tools to estimate crop yields based on minimum inputs of climate, soil, crop management, and crop cultivar parameters. Using region-specific cultivar parameters is critical when applying crop models at a global scale because cultivars vary in response to climate conditions, soils, and crop management. In this study, parameters were developed for modern cultivars representing all 17 CIMMYT wheat Mega Environments (MEs) using field experimental data and genetic cultivar relationships for the CROPSIM-CERES model in DSSAT v 4.5 (Decision-Support System for Agrotechnology Transfer). Cultivar performance was tested with independent CIMMYT breeding trial field experiments across several locations. Then crop simulations were carried out at 0.5 x 0.5 degrees pixels for global wheat-growing areas, using cultivars representing MEs, soil information, region-specific crop management, and initial soil conditions. Aggregated simulated wheat yields and production were compared to reported country yields and production from Food and Agriculture Organization (FAO) statistics, resulting in a Root Mean Square Error (RMSE) of 1.3 t/ha for yield and 2.2 M ticountry for country production. Some of the simulated errors are relatively large at country level because of uncertainties in pixel information for climate, soil, and crop management input and partly because of crop model uncertainties. In addition, FAO yield statistics have uncertainties because of incomplete farm reports or poor estimates. Nevertheless, this new cultivar-specific, partially-validated global baseline simulation enables new studies on issues of food security, agricultural technology, and breeding advancement impacts combined with climate change at a global scale.en_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationSika Gbegbelegbe, D. Cammarano, Senthold Asseng, Richard Robertson, U. Chung, Myriam Adam, Osman Abdalla, Thomas Payne, Matthew Reynolds, Kai Sonder, B. Shiferaw, Gerald Nelson. (15/2/2017). Baseline simulation for global wheat production with CIMMYT mega-environment specific cultivars. Field Crops Research, 202, pp. 122-135.en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/66948
dc.languageenen_US
dc.publisherElsevier (12 months)en_US
dc.sourceField Crops Research;202,(2016) Pagination 122-135en_US
dc.subjectdssaten_US
dc.subjectgrassen_US
dc.subjectglobal wheat productionen_US
dc.subjectgeo-spatial crop modelingen_US
dc.subjectcropsim-ceresen_US
dc.titleBaseline simulation for global wheat production with CIMMYT mega-environment specific cultivarsen_US
dc.typeJournal Articleen_US
dcterms.available2016-08-04en_US
dcterms.extent122-135en_US
dcterms.issued2017-02-15en_US
mel.impact-factor5.224en_US

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