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Utilize este identificador para citar ou criar um link para este item: http://acervodigital.unesp.br/handle/11449/129820
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dc.contributor.authorCamargo, Livia Arantes-
dc.contributor.authorMarques Júnior, José-
dc.contributor.authorBarron, Vidal-
dc.contributor.authorFerracciu Alleoni, Luis Reynaldo-
dc.contributor.authorBarbosa, Ronny Sobreira-
dc.contributor.authorPereira, Gener Tadeu-
dc.date.accessioned2015-10-22T07:14:41Z-
dc.date.accessioned2016-10-25T21:16:33Z-
dc.date.available2015-10-22T07:14:41Z-
dc.date.available2016-10-25T21:16:33Z-
dc.date.issued2015-08-01-
dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0016706115001044-
dc.identifier.citationGeoderma. Amsterdam: Elsevier Science Bv, v. 251, p. 124-132, 2015.-
dc.identifier.issn0016-7061-
dc.identifier.urihttp://hdl.handle.net/11449/129820-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/129820-
dc.description.abstractDiffuse reflectance spectroscopy (DRS) provides a rapid, non-destructive, less expensive and sustainable complement to conventional methods of soil analysis. This study aims to assess the DRS ability to predict contents of clay, iron oxide and adsorbed phosphate (Pads), characterizing their spatial variability in Oxisols from Brazil. Soil samples collected from three geomorphic surfaces were scanned in the visible and near infrared spectral range. Moreover, chemometric calibration was obtained through partial least-squares regression (PLSR). Then, spatial distribution maps of the attributes were constructed using predicted values from calibrated models through geostatistical methods. The best accuracy of prediction models (residual prediction deviation >2.0) for clay, extractable Fe by dithionite-citrate-bicarbonate and hematite was obtained within the visible region (380-800 nm), and for adsorbed phosphate within the visible near infrared (380-2300 nm). Predicted values of these attributes had low error (<10%) with the exception of goethite, and enabled building maps similar to those with measured values, demonstrating the DRS importance for clay, iron oxide and adsorbed phosphate mapping of large areas and at detailed scale. (C) 2015 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.format.extent124-132-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectGoethiteen
dc.subjectHematiteen
dc.subjectPLSRen
dc.subjectDiffuse reflectance spectroscopyen
dc.subjectGeostatisticsen
dc.subjectChemometricsen
dc.titleMapping of clay, iron oxide and adsorbed phosphate in Oxisols using diffuse reflectance spectroscopyen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidad de Córdoba-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionUniversidade Federal do Piauí (UFPI)-
dc.description.affiliationDepartamento de Agronomía, Universidad de Córdoba, Edificio C4, Campus de Rabanales, 14071 Córdoba, Spain-
dc.description.affiliationCollege of Agriculture Luiz de Queiroz (ESALQ), University of Sao Paulo (USP), CP 09, 13418-900 Piracicaba SP, Brazil-
dc.description.affiliationUniversidade Federal do Piauí, Campus Professora Cinobelina Elvas, Rodovia Municipal Bom Jesus — Viana, km 01, Planalto Horizonte, s/n°, 64900-000 Bom Jesus, PI, Brazil-
dc.description.affiliationUnespFaculdade de Ciências Agrárias e Veterinárias, Univ Estadual Paulista, Campus de Jaboticabal, Via de Acesso Prof. Paulo Donato Castellane, s/n°, 14884-900 Jaboticabal, SP, Brazil-
dc.identifier.doihttp://dx.doi.org/10.1016/j.geoderma.2015.03.027-
dc.identifier.wosWOS:000353751400012-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofGeoderma-
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