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dc.contributorPala, Mustafaen_US
dc.contributorStockle, Claudioen_US
dc.contributorOweis, Theiben_US
dc.creatorBenli, Bogachanen_US
dc.date.accessioned2018-02-25T08:28:36Z
dc.date.available2018-02-25T08:28:36Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifierhttps://www.sciencedirect.com/science/article/pii/S0378377407001643en_US
dc.identifierhttps://www.researchgate.net/publication/223435074_Assessment_of_winter_wheat_production_under_early_sowing_with_supplemental_irrigation_in_a_cold_highland_environment_using_CropSyst_simulation_modelen_US
dc.identifier.citationBogachan Benli, Mustafa Pala, Claudio Stockle, Theib Oweis. (16/10/2007). Assessment of winter wheat production under early sowing with supplemental irrigation in a cold highland environment using CropSyst simulation model. Agricultural Water Management, 93 (1-2), pp. 45-53.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/7939
dc.description.abstractThe most important question in supplemental irrigation management is when and how much water to apply. It is a laborious and expensive task to develop supplemental irrigation schedules solely by conventional field experimentation. A cropping system simulation model (CropSyst) was evaluated for its ability to simulate growth, biomass, grain yield and evapotranspiration (ET) of wheat sown early with supplemental irrigation (SI). This was computed under rainfed conditions in a semiarid climate with cold winters in the highlands of Turkey. Experimental data from three growing seasons (1998–2001) were used. The experimental design incorporates Bezostia bread wheat cultivar tested under two main treatments: no irrigation at sowing (rainfed-A1) and irrigation at sowing with 50 mm of water (A2); and two sub treatments: rainfed (B1) and spring supplemental irrigation to replenish the total water requirement at 0–90 cm soil profile (B2) at the Ankara Research Institute of Rural Services. Crop input parameters were selected from the model documentation and experimental data. A few cultivar-specific parameters were adjusted within a narrow range of typical fluctuations by model calibration. Results showed that CropSyst was able to simulate yield, biomass and evapotranspiration as observed in the field experiments. Overall, the Willmott Index of agreement between simulated and observed values of grain yield, biomass and ET were 0.98, 0.76 and 0.91, respectively. CropSyst model predicted better the seasonal evapotranspiration under full supplemental irrigated conditions (A2B2) than under rainfed conditions (A1B1), with values of the Willmott index of agreement being 0.97 and 0.89, respectively. The model was run for 20 years (1982–2001) including the 4-year experimental period. Data showed that wheat grain yield could be improved by 15, 19 and 25% with applying only 50 mm of water at the sowing time of 15 October, 1 October and 15 September, respectively. In 80% of the cases, the respective SI applications would give 2.75, 2.7 and 2.95 t ha−1, of the long-term average rainfed yield of 2.1 t ha−1, respectively.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherElsevier Massonen_US
dc.sourceAgricultural Water Management;93,(2007) Pagination 45-53en_US
dc.subjectmodelen_US
dc.subjectearly sowingen_US
dc.subjecthighlanden_US
dc.subjectcropsysten_US
dc.titleAssessment of winter wheat production under early sowing with supplemental irrigation in a cold highland environment using CropSyst simulation modelen_US
dc.typeJournal Articleen_US
dcterms.available2007-09-05en_US
dcterms.extent45-53en_US
dcterms.issued2007-10-16en_US
cg.creator.idOweis, Theib: 0000-0002-2003-4852en_US
cg.subject.agrovocbread wheaten_US
cg.subject.agrovocsupplemental irrigationen_US
cg.subject.agrovocturkeyen_US
cg.subject.agrovocWheaten_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerWashington State University - WSUen_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-date2107-09-05en_US
cg.coverage.regionWestern Asiaen_US
cg.coverage.countryTRen_US
cg.contactb.benli@cgiar.orgen_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.agwat.2007.06.014en_US
cg.isijournalISI Journalen_US
dc.identifier.statusLimited accessen_US
mel.impact-factor2.848en_US
cg.issn0378-3774en_US
cg.journalAgricultural Water Managementen_US
cg.issue1-2en_US
cg.volume93en_US


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