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dc.contributorIzzi, Gabrielaen_US
dc.contributorOweis, Theiben_US
dc.creatorFarahani, Hamiden_US
dc.date2009-05-30en_US
dc.date.accessioned2018-12-17T22:30:17Z
dc.date.available2018-12-17T22:30:17Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifierhttps://dl.sciencesocieties.org/publications/aj/abstracts/101/3/469en_US
dc.identifier.citationHamid Farahani, Gabriela Izzi, Theib Oweis. (30/5/2009). Parameterization and Evaluation of the AquaCrop Model for Full and Deficit Irrigated Cotton. Agronomy Journal, 101 (3), pp. 469-476.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/8895
dc.description.abstractPredicting yield is increasingly important to optimize irrigation under limited available water for enhanced sustainability and profitable production. Food and Agriculture Organization (FAO) of the United Nations addresses this need by providing a yield response to water simulation model (AquaCrop) with limited sophistication. In this study, AquaCrop was parameterized and tested for cotton (Gossypium hirsutum L.) under full (100%) and deficit (40, 60, and 80% of full) irrigation regimes in the hot, dry, and windy Mediterranean environment of northern Syria. Model parameterization used the 2006 data and was straightforward within the designed user-interface, owing to the limited number of key parameters. Accurate simulation of canopy cover was central to sound prediction of evapotranspiration and biomass accumulation. Key user-input parameters for this purpose were identified as the coefficients defining canopy development and the threshold soil water depletion levels for the water stress indices. The parameterized model was tested using data from the 2004 and 2005 seasons, resulting in accurate prediction of evapotranspiration (<13% error). The predicted yield values were within 10% of measurements, except in the 60 and 80% irrigation regimes in 2004, with errors up to 32%. The model closely predicted the trend in total soil water, but deviation existed for individual soil layers. This study provides first estimate values for cotton parameters useful for future model testing and use. Model parameterization is site-specific, and thus the applicability of key calibrated parameters must to be tested under different climate, soil, variety, irrigation methods, and field management.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherAmerican Society of Agronomyen_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceAgronomy Journal;101,Pagination 469,476en_US
dc.subjectnormalized crop water productivityen_US
dc.subjectsoil evaporationen_US
dc.titleParameterization and Evaluation of the AquaCrop Model for Full and Deficit Irrigated Cottonen_US
dc.typeJournal Articleen_US
cg.creator.idOweis, Theib: 0000-0002-2003-4852en_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocirrigationen_US
cg.subject.agrovocevapotranspirationen_US
cg.subject.agrovocphotosynthetically active radiationen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerFood and Agriculture Organization of the United Nations - FAOen_US
cg.contributor.crpCGIAR Research Program on Water, Land and Ecosystems - WLEen_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.date.embargo-end-dateTimelessen_US
cg.coverage.regionWestern Asiaen_US
cg.coverage.countrySYen_US
cg.contactHamid.Farahani@gnb.usda.goven_US
cg.identifier.doihttps://dx.doi.org/10.2134/agronj2008.0182sen_US
dc.identifier.statusTimeless limited accessen_US
mel.impact-factor1.897en_US


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