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dc.contributorDjumaniyazova, Yulduzoyen_US
dc.contributorKhaitbaeva, Jamilaen_US
dc.contributorBabadjanova, Shirinen_US
dc.contributorRuzimov, Jumanazaren_US
dc.contributorAkramkhanov, Akmalen_US
dc.contributorLamers, Johannesen_US
dc.creatorIbragimov, Nazaren_US
dc.identifier.citationNazar Ibragimov, Yulduzoy Djumaniyazova, Jamila Khaitbaeva, Shirin Babadjanova, Jumanazar Ruzimov, Akmal Akramkhanov, Johannes Lamers. (17/12/2019). Simulating Crop Productivity in a Triple Rotation in the Semi‑arid Area of the Aral Sea Basin.en_US
dc.description.abstractFarmers face increased risks and vulnerability to the effects of climate change and land degradation on crop production due to the lack of information and impact assessment. This is especially true in the Khorezm, an irrigated agricultural region near the Aral Sea Basin (Uzbekistan) which represents eight million of irrigated land in Central Asia. Water scarcity requires research and introduction of alternative crops into a common winter wheat–cotton rotation. Mung bean (Vigna radiata) is considered as a drought-tolerant crop that could be implemented in Khorezm and other similar drought prone areas. The main objective of this study was modeling the triple rotation sequenced the winter wheat (WW), summer mung bean (MB) and cotton (C) as a single cropping system. Specific objectives were to (1) update the parameterization of the irrigated winter wheat and cotton modules in CropSyst to identify the key variables impacting the triple rotation (WW–MB–C) on overall crop yield; (2) to parameterize and validate the developed (CropSyst-based) model using controlled triple rotation data and (3) carry out scenario analyses to capture the influence of soil fertility levels and irrigation water shortage on crops growth, development and yields. The results revealed, for the first time, the impact of different soil-ecological factors such as high soil fertility (HSF) and low soil fertility (LSF) varying levels of irrigation water availability on crops in the triple crop rotation. Compared to LSF simulated yields of winter wheat and cotton under HSF were increased with 0.58 Mg ha−1 for WW grain and 0.21 Mg ha−1 for cotton while mung bean grain yields were not affected by different soil fertility levels. Scenario analyses showed the possibility of reduced (by 20%) irrigation for triple crop without the effect on yield. However, compared to full irrigation scenario, reduction of irrigation for 40 and 60% could decrease the rotation crops yields up to 33% and 40%, respectively. The developed model could be useful to increase the understanding of the nexus of food, energy and water in Khorezm and comparable regions of Central Asia, and to inform decision-making about sustainable use of available water resources.en_US
dc.publisherSpringer Verlag (Germany)en_US
dc.sourceInternational Journal of Plant Production;(2019)en_US
dc.subjectcotton rotationen_US
dc.titleSimulating Crop Productivity in a Triple Rotation in the Semi‑arid Area of the Aral Sea Basinen_US
dc.typeJournal Articleen_US
cg.creator.idAkramkhanov, Akmal: 0000-0002-4316-5580en_US
cg.subject.agrovocclimate changeen_US
cg.subject.agrovocwater scarcityen_US
cg.contributor.centerUzbek Scientific Research Institute of Cotton Breeding and Seed Productionen_US
cg.contributor.centerUrgench State Universityen_US
cg.contributor.centerTashkent Institute of Irrigation and Agricultural Mechanization Engineers (Tashkent Institute of Irrigation and Melioration) - TIIAME (TIIM)en_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerUniversity of Bonn, Center for Development Research - Uni-Bonn - ZEFen_US
cg.contributor.funderInternational Food Policy Research Institute - IFPRIen_US
cg.contributor.projectCollaborative Research Project on Sustainable Soil Management to Enhance Agricultural Productivity in Central Asiaen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionCentral Asiaen_US
dc.identifier.statusTimeless limited accessen_US
mel.funder.grant#International Food Policy Research Institute - IFPRI :2018X066.ICAen_US

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