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dc.contributorLlewellyn, Ricken_US
dc.contributorDavoren, W.en_US
dc.contributorWhitbread, Anthonyen_US
dc.creatorHoffmann, Muniren_US
dc.date2016-04-28en_US
dc.date.accessioned2017-02-08T18:20:35Z
dc.date.available2017-02-08T18:20:35Z
dc.identifierhttp://oar.icrisat.org/id/eprint/9455en_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/GsfB3B5Gen_US
dc.identifier.citationMunir Hoffmann, Rick Llewellyn, W. Davoren, Anthony Whitbread. (28/4/2016). Assessing the Potential for Zone-Specific Management of Cereals in Low-Rainfall South-Eastern Australia: Combining On-Farm Results and Simulation Analysis. pp. 1-5.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5571
dc.description.abstractIn the low-rainfall region of south-eastern Australia, distinctive soil types reflecting the typical landscape of higher elevated dunes and swale zones at the bottom can be found within one field. Different soil characteristics cause consequently large variability in cropping productivity between soils and across seasons. To assess the possibilities for zone-specific management, five farmer fields were zoned into a dune, mid-slope and swale zone. For each site, zone yields were mapped over 2 years and soil properties were surveyed. This information was used to parameterize and validate the APSIM model for each zone. Field-measured PAWC increased from the dune to the swale zone. On-farm results and simulation analysis showed distinctive yield performance of the three designed zones. However, yield is not related to PAWC, it is rather a complex relationship between soil type, fertility and rainfall. While in high-rainfall years, the swale zones yielded higher due to higher soil organic carbon content and less drainage losses, the dune zones performed better in the low-rainfall years due to lower evaporation losses. This study emphasizes that in this specific environment where soil variation in texture and subsoil constraints strongly influence crop performance, mechanistic crop models and long-term field observations are necessary for better understanding of zone-specific performance, and simple linear relationships across years or sites are not useful.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherWileyen_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceJournal of Agronomy and Crop Science;(2016) Pagination 1,5en_US
dc.subjectapsimen_US
dc.subjectplant available water capacityen_US
dc.titleAssessing the Potential for Zone-Specific Management of Cereals in Low-Rainfall South-Eastern Australia: Combining On-Farm Results and Simulation Analysisen_US
dc.typeJournal Articleen_US
cg.creator.idWhitbread, Anthony: 0000-0003-4840-7670en_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocagricultureen_US
cg.subject.agrovocprecision agricultureen_US
cg.contributor.centerGeorg-August-Universitat Gottingen, Tropical Plant Production and Agricultural Systems Modelling - Uni-Goettingen - TROPAGSen_US
cg.contributor.centerCommonwealth Science and Industrial Research Organisation - CSIROen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.crpCRP on Dryland Systems - DSen_US
cg.contributor.funderNot Applicableen_US
cg.date.embargo-end-date2017-04-28en_US
cg.coverage.regionAustralia and New Zealanden_US
cg.coverage.countryAUen_US
cg.contactmhoffma@gwdg.deen_US
cg.identifier.doihttps://dx.doi.org/10.1111/jac.12159en_US
dc.identifier.statusLimited accessen_US
mel.impact-factor0.00en_US


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