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dc.contributorTelleria, Robertoen_US
dc.creatorFrija, Aymenen_US
dc.date.accessioned2017-03-04T21:47:39Z
dc.date.available2017-03-04T21:47:39Z
dc.identifierhttp://www.ccsenet.org/journal/index.php/sar/article/view/56371en_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/7P9WQsI7en_US
dc.identifier.citationAymen Frija, Roberto Telleria. (29/6/2016). Country-Level Bio-Economic Modeling of Agricultural Technologies to Enhance Wheat-Based Systems Productivity in the Dry Areas. Sustainable Agriculture Research, 5 (3), pp. 113-123.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6118
dc.description.abstractConservation Agriculture (CA) have a large potential for enhancing cereal yields in the semi-arid areas through better management of soil moisture. The objective of the current paper is to quantify, at national level, the impact of CA adoption in wheat-based agricultural systems in Syria. A country-level bio-economic approach was used for this purpose. Different CA technical packages (TPs) were first developed and simulated through APSIM crop modeling software, in order to estimate the long-term yields of wheat under different CA TPs for the period 2015-2039. The considered CA packages are a combination of zero-tillage, mulching, raised bed, fertilizer doses, and planting dates. The simulated yields are then introduced into IMPACT model while assuming that TPs will be adopted on 35% of the wheat areas in the countries. Results show that the comparative advantages of CA TPs on overcoming the effect of climate change will only be significant after 2030. In 2039, the effect of different TPs on average wheat yields in Syria will be 4% to 12% (depending on the TP) higher than the average yields under climate change and no CA technology adoption. These yield enhancements may reduce the wheat trade deficit with 30 up to 140%, also depending on the technical package. The combination of mulching techniques, together with average nitrogen dose of 30kg/ha, and late planting date of wheat provides the best prospective for the wheat sector in Syriaen_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherCanadian Center of Science and Education (CCSE)en_US
dc.rightsCC-BY-4.0en_US
dc.sourceSustainable Agriculture Research;5,(2016) Pagination 113-123en_US
dc.subjectforesight modelingen_US
dc.subjectwheat supplyen_US
dc.titleCountry-Level Bio-Economic Modeling of Agricultural Technologies to Enhance Wheat-Based Systems Productivity in the Dry Areasen_US
dc.typeJournal Articleen_US
dcterms.available2016-06-29en_US
dcterms.extent113-123en_US
cg.creator.idFrija, Aymen: 0000-0001-8379-9054en_US
cg.subject.agrovocagricultureen_US
cg.subject.agrovocsyriaen_US
cg.subject.agrovocmulchingen_US
cg.subject.agrovocplanting dateen_US
cg.subject.agrovocWheaten_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCGIAR Research Program on Policies, Institutions, and Markets - PIMen_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.coverage.regionWestern Asiaen_US
cg.coverage.countrySYen_US
cg.contactA.Frija@cgiar.orgen_US
cg.identifier.doihttps://dx.doi.org/10.5539/sar.v5n3p113en_US
dc.identifier.statusOpen accessen_US
cg.issn1927-050Xen_US
cg.journalSustainable Agriculture Researchen_US
cg.issue3en_US
cg.volume5en_US


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