Crop Modeling of Field Trial Data to Estimate Crop Coefficient (Kc) for Weather Station Network-based Irrigation Scheduling System in Aral Sea Basin Site

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cg.contactoybek_72@yahoo.comen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerKhorezm Rural Advisory Support Service - KRASSen_US
cg.contributor.centerUniversity of Jordan - JUen_US
cg.contributor.centerUnited States Department of Agriculture, Agricultural Research Service - USDA-ARSen_US
cg.contributor.centerUrgench State Universityen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderGovernment of Russian Federationen_US
cg.contributor.projectThe CGIAR collaborative research and capacity building project for the development of sustainable and resilient agricultural production systems in Central Asia under the conditions of changing climateen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.countryUZen_US
cg.coverage.regionCentral Asiaen_US
cg.creator.idNangia, Vinay: 0000-0001-5148-8614en_US
cg.creator.idAkramkhanov, Akmal: 0000-0002-4316-5580en_US
cg.subject.agrovocirrigationen_US
cg.subject.agrovoccrop modellingen_US
cg.subject.agrovocuzbekistanen_US
cg.subject.agrovocmodellingen_US
cg.subject.agrovocagricultural productionen_US
cg.subject.agrovoccottonen_US
cg.subject.agrovocwinter / facultative wheaten_US
dc.contributorNangia, Vinayen_US
dc.contributorEgamberdiev, Oybeken_US
dc.contributorGowda, Prasannaen_US
dc.contributorSultanov, Murodjonen_US
dc.contributorSin, Lilianaen_US
dc.contributorAkramkhanov, Akmalen_US
dc.contributorSuleiman, Aymanen_US
dc.creatorDjumaniyazova, Yulduzoyen_US
dc.date.accessioned2016-02-01T21:28:17Z
dc.date.available2016-02-01T21:28:17Z
dc.description.abstractThis report covers the period 1 October 2013- 31 December 2015, and documents the cotton and winter wheat modeling results to complete the this task implemented: (1) compilation of agronomic and irrigation management data from the past experiments for crop modeling with DSSAT decision support tool, (2) calibration of DSSAT tool to winter wheat and cotton crops, and (3) development of crop coefficients for winter wheat and cotton using crop growth simulation with long-term weather data.en_US
dc.formatPDFen_US
dc.identifierhttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/EQUB0Ben_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/4YWCFZZZ/v/e2a6ec9f34b1113e9b08f7648f6a2ed8en_US
dc.identifier.citationYulduzoy Djumaniyazova, Vinay Nangia, Oybek Egamberdiev, Prasanna Gowda, Murodjon Sultanov, Liliana Sin, Akmal Akramkhanov, Ayman Suleiman. (31/12/2015). Crop Modeling of Field Trial Data to Estimate Crop Coefficient (Kc) for Weather Station Network-based Irrigation Scheduling System in Aral Sea Basin Site.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/3387
dc.languageenen_US
dc.rightsCC-BY-NC-4.0en_US
dc.subjectdssat toolen_US
dc.titleCrop Modeling of Field Trial Data to Estimate Crop Coefficient (Kc) for Weather Station Network-based Irrigation Scheduling System in Aral Sea Basin Siteen_US
dc.typeInternal Reporten_US
dcterms.available2015-12-31en_US
mel.project.openhttps://mel.cgiar.org/projects/russianfundedprojectsen_US

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Agricultural Research Knowledge
Decision Support Tools
Natural Resource Management and Sustainable Intensification