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dc.creatorNangia, Vinayen_US
dc.date2016-11-07en_US
dc.date.accessioned2017-02-24T18:02:27Z
dc.date.available2017-02-24T18:02:27Z
dc.identifierhttps://scisoc.confex.com/scisoc/2016am/webprogram/Paper101850.htmlen_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/mWOQXcD3en_US
dc.identifier.citationVinay Nangia. (7/11/2016). Managing Scarce Water Resources in Irrigated Agri-Food Systems of Central Asia Two Case Studies. Phoenix, United States: American Society of Agronomy.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5976
dc.description.abstractIrrigated agriculture is the backbone of Central Asian economies. Therefore, efficient irrigation water management is of crucial importance to the sustainable crop production in the region. Presented here are two studies aiming to improve agricultural water productivity – ET-based irrigation scheduling in Uzbekistan; and valuation of ecosystem services in Kazakhstan. The ET-based irrigation scheduling method has potential to replace subjective daily water management decisions at Water Users Association level with crop water demand-based decisions to improve water-use efficiency. Results from a two year study show that there can be a 32-35% saving of water when irrigation is applied using the ET-based scheduling method. The pilot plots are representative of 38% of irrigated area in Fergana Valley (241,407ha) and 50% in Khorezm (137,500ha) area. If this methodology is widely adopted, large amounts of water can be saved which can be diverted for other purposes. Flood irrigation of cotton is practiced on 128,000ha in the Bugunski Reservoir watershed of Kazakhstan. This practice is unsustainable due to seasonal unavailability in water supply and depletion of river discharges that were historically important at maintaining water levels downstream in nearby wetlands and the Aral Sea. Farmer surveys were used along with RIOS and SWAT modeling to evaluate alternative irrigation practices and cropping systems that can conserve water from the Bugunski Reservoir while maintaining farmer incomes. Simulations show significant reductions in irrigation water demand in the alternative scenario relative to the baseline scenario. Under baseline flood irrigation of cotton, annual irrigation demand was 928 MCM/yr averaged over the 32 year climatic record simulated. Irrigation demand decreased by 38% to 573 MCM/yr when 40,439ha of flood irrigated cotton was converted to drip irrigated cotton, sprinkler irrigated alfalfa and drip irrigated grapes. This represents a savings of 355 MCM/yr in water extracted from irrigation canals and groundwater wells.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherAmerican Society of Agronomyen_US
dc.rightsCC-BY-NC-4.0en_US
dc.titleManaging Scarce Water Resources in Irrigated Agri-Food Systems of Central Asia Two Case Studiesen_US
dc.typePresentationen_US
cg.creator.idNangia, Vinay: 0000-0001-5148-8614en_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocdrylandsen_US
cg.subject.agrovocwater managementen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_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.regionCentral Asiaen_US
cg.coverage.countryKZen_US
cg.coverage.countryUZen_US
cg.contactV.Nangia@cgiar.orgen_US
dc.identifier.statusOpen accessen_US
mel.project.openhttps://mel.cgiar.org/projects/russianfundedprojectsen_US


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