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dc.contributor.authorTilse, Mikaela
dc.contributor.authorBishop, Thomas
dc.contributor.authorTriantafilis, John
dc.contributor.authorFilippi, Patrick
dc.date.accessioned2022-03-01T22:52:54Z
dc.date.available2022-03-01T22:52:54Z
dc.date.issued2022en
dc.identifier.urihttps://hdl.handle.net/2123/27534
dc.description.abstractContext: The depth-to a constraint determines how much of the soil profile, and the water it contains, can be accessed by plant roots. Information describing the impacts of soil constraints on available water capacity (AWC) and yield is important for farm management, but is rarely considered in a spatial context. Aims and methods: The depth-to three yield-limiting constraints (sodicity, salinity, and alkalinity) was mapped across ∼80 000 ha in northern New South Wales, Australia using machine learning and digital soil mapping techniques. Soil AWC was calculated using soil data and pedotransfer functions, and water use efficiency equations were used to determine potential yield loss due to the presence of soil constraints. From this, the most-limiting constraint to yield was mapped. Key results: One or more constraints were found to be present across 54% of the study area in the upper 1.2 m of the soil profile, overall reducing the AWC by ∼50 mm and potential yield by an average of 1.1 t/ha for wheat and 0.8 bales/ha for cotton. Sodicity (Exchangeable Sodium Percentage > 15%) was identified as the most-limiting constraint to yield across the study area. Implications: The simplification of multiple sources of information into a single decision-making tool could prove valuable to growers and farm managers in managing soil constraints and understanding important interactions with available water and yield.en
dc.language.isoenen
dc.publisherCSIRO Publishingen
dc.relation.ispartofCrop & Pasture Scienceen
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0en
dc.subjectdecision treesen
dc.subjectdigital soil mappingen
dc.subjectpedotransfer functionen
dc.subjectprecision agricultureen
dc.subjectRandom Foresten
dc.subjectsoil constraintsen
dc.subjectsoil wateren
dc.subjectyield potentiaen
dc.titleMapping the impact of subsoil constraints on soil available water capacity and potential crop yielden
dc.typeArticleen
dc.subject.asrc0503 Soil Sciencesen
dc.identifier.doi10.1071/CP21627en
dc.type.pubtypePublisher's versionen
usyd.facultySeS faculties schools::Faculty of Science::School of Life and Environmental Sciencesen
usyd.citation.issueCP21627en
usyd.citation.spageAen
usyd.citation.epagePen
workflow.metadata.onlyNoen


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