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dc.contributorAkhtar, Fazlullahen_US
dc.contributorAwan, Usmanen_US
dc.creatorJalil, Atiqurrahmanen_US
dc.date2020-10-01en_US
dc.date.accessioned2020-10-06T09:08:53Z
dc.date.available2020-10-06T09:08:53Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationAtiqurrahman Jalil, Fazlullah Akhtar, Usman Awan. (1/10/2020). Evaluation of the AquaCrop model for winter wheat under different irrigation optimization strategies at the downstream Kabul River Basin of Afghanistan. Agricultural Water Management, 240.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/11850
dc.description.abstractAfghanistan has an arid to semi-arid climate where irrigated agriculture largely depends on scarce irrigation water supplies from snowmelt from the high raised mountains. Under growing water scarcity, farmers not only need to use the available water more wisely but have to develop alternative options for coping water scarcity. Deficit irrigation schedule can be one of the options to mitigate the adverse impacts of water scarcity on crop production. In the current study, FAO’s crop water productivity model (AquaCrop) was calibrated and validated with field data in Kabul River Basin (KRB) for wheat crop to simulate four different water scarcity scenarios (S-A: business-as-usual scenario, S-B: refilling the soil profile to field capacity upon 50 % water depletion, S-C: refilling the soil profile upon 100 % depletion and S-D: refilling the soil profile upon 130 % depletion occurrence) for resultant yield, water productivity (WP) and biomass production. Two wheat fields, namely A and B were monitored intensively for soil moisture content, meteorological situation, irrigation application and post-harvest data. Results show that the measured WP was 1.4 kg m−3 ETa and 1.5 kg m−3 ETa whereas, the actual (measured) water use efficiency (WUE) was 0.58 kg m−3 and 0.66 kg m−3 for Field A and Field B, respectively. The WP of the scenarios S-A, S-B, S-C and S-D was 2.0-2.1 kg m−3 ETa (for plot B and A), 2.5 kg m−3 ETa, 2.74 kg m−3 ETa and 2.8 kg m−3 ETa respectively. Similarly, yield under these scenarios was 6.4 ton ha−1, 8.7 ton ha−1, 7.4 ton ha−1and 6.7 ton ha−1 respectively while the above ground biomass was 21.3 ton ha−1, 21.8 ton ha−1, 19 ton ha−1 and 18.3 ton ha−1 respectively. As a consequence, WP could increase by 92.8 %, 78 % and 95 % in S-B, S-C and S-D, respectively with reference to the measured WP. The optimized scenarios developed in this study can provide guidelines for policy makers and farming communities to mitigate the adverse impact of water scarcity through such innovative interventions.en_US
dc.languageenen_US
dc.publisherElsevieren_US
dc.rightsAll right reserveden_US
dc.sourceAgricultural Water Management;240,(2020)en_US
dc.subjectcrop water productivityen_US
dc.subjectaquacrop modelen_US
dc.titleEvaluation of the AquaCrop model for winter wheat under different irrigation optimization strategies at the downstream Kabul River Basin of Afghanistanen_US
dc.typeJournal Articleen_US
cg.creator.idAwan, Usman: 0000-0001-8663-5688en_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocwater scarcityen_US
cg.subject.agrovocdeficit irrigationen_US
cg.contributor.centerAfghan Ministry of Agriculture, Irrigation and Livestock - MAILen_US
cg.contributor.centerUniversity of Bonn - Uni-Bonnen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCRP on Water, Land and Ecosystems - WLEen_US
cg.contributor.funderMinistry of Agriculture, Irrigation and Livestock, Islamic Republic of Afghanistanen_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.regionSouthern Asiaen_US
cg.coverage.countryAFen_US
cg.contactakhtar@uni-bonn.deen_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.agwat.2020.106321en_US
dc.identifier.statusTimeless limited accessen_US
mel.impact-factor4.021en_US


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