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dc.contributor.authorUribeetxebarria Alonso de Armiño, Asier
dc.contributor.authorArnó Satorra, Jaume
dc.contributor.authorEscolà i Agustí, Alexandre
dc.contributor.authorMartínez Casasnovas, José Antonio
dc.date.accessioned2018-04-05T07:52:08Z
dc.date.available2020-01-10T23:17:31Z
dc.date.issued2018
dc.identifier.issn0016-7061
dc.identifier.urihttp://hdl.handle.net/10459.1/62990
dc.description.abstractFruit production is relevant to the European agricultural sector. However, orchards in semi-arid areas of southern Europe may contain soils with constraints for tree development. This is the case of soils with high CaCO⁠3 content or limiting layers at variable depth. To assess spatial and in-depth variation of these soil constraints, an apparent electrical conductivity (ECa) survey was conducted in an orchard by using a galvanic contact soil sensor (Veris 3100). Different soil properties were randomly sampled at two depths (topsoil and subsoil) in 20 different sampling points within the plot. ECa raster maps were obtained for shallow (0-30cm) and deep (0-90cm) soil profile depths. In addition, an inversion modelling software was used to obtain horizontal ECa slices corresponding to 10cm thick soil layers from 0-10cm to 80-90cm in depth. Concordance analysis of ECa slices allowed the soil profile to be segmented into four homogeneous horizons with different spatial conductivity pattern. Then, a multivariate analysis of variance (MANOVA) was key, i) to better interpret the specific soil properties that mainly contributed to the spatial variation of ECa (CaCO⁠3 and organic matter (OM) contents), and ii) to delimit the soil layer and the specific spatial pattern of ECa that allows potential management areas to be delineated by presenting the same trend in CaCO⁠3 and OM for topsoil and subsoil simultaneously. Moreover, assessing 3D variation of ECa made it possible to identify different soil areas that, linked to previous earthworks to optimize the parcelling of the farm, are the main cause of spatial variability within the orchard.
dc.description.sponsorshipThis work was funded by the Spanish Ministry of Economy and Competitiveness through the project AgVANCE (AGL2013-48297-C2-2-R). We are also grateful to the University of Lleida for funding PhD scholarship for the first author.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relationMINECO/PN2013-2016/AGL2013-48297-C2-2-R
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.geoderma.2018.01.008
dc.relation.ispartofGeoderma, 2018, vol. 319, p. 185-193
dc.rightscc-by-nc-nd, (c) Elsevier, 2018
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSoil sensing
dc.subjectECa inversion
dc.subjectMANOVA
dc.subjectPrecision Fructiculture
dc.subjectSpatial analysis
dc.titleApparent electrical conductivity and multivariate analysis of soil properties to assess soil constraints in orchards affected by previous parcelling
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2018-04-05T07:52:08Z
dc.identifier.idgrec026627
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.1016/j.geoderma.2018.01.008


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cc-by-nc-nd, (c) Elsevier, 2018
Except where otherwise noted, this item's license is described as cc-by-nc-nd, (c) Elsevier, 2018