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dc.contributor.authorSiqueira, D. S. [UNESP]
dc.contributor.authorMarques, J. [UNESP]
dc.contributor.authorPereira, G. T. [UNESP]
dc.date.accessioned2014-05-20T15:33:23Z
dc.date.available2014-05-20T15:33:23Z
dc.date.issued2010-02-15
dc.identifierhttp://dx.doi.org/10.1016/j.geoderma.2009.11.024
dc.identifier.citationGeoderma. Amsterdam: Elsevier B.V., v. 155, n. 1-2, p. 55-66, 2010.
dc.identifier.issn0016-7061
dc.identifier.urihttp://hdl.handle.net/11449/42025
dc.description.abstractRelief may be considered an integrating factor that expresses the interaction of various soil and plant attributes. This work aimed to analyze the potential use of landforms to predict the variability of soil and orange attributes. The study area is located in the state of São Paulo, Brazil. The following soil attributes were analyzed: clay content, organic matter content, water content, aggregate stability, macropores, micropores, total pore volume, saturated soil hydraulic conductivity, soil density, and soil resistance to penetration at 0.00-0.20-m depth. The orange attributes analyzed are total soluble solids, total titratable acidity, ratio, production, concentrated juice yield, and fruit size, which were performed in three periods (July, August and September). The soil and fruit data were submitted to descriptive statistical, geostatistical, and canonical correlation (CCA) analyses. The mean soil and fruit attributes were significantly different for the landforms by Tukey's test at 5% probability. The analysis of the geostatistical results showed that the spatial variability of the soil and fruit attributes is influenced by landforms. We point out that the temporal variability of fruit attributes is also influenced by landforms, resulting in different ripening gradients for each of the relief compartments. The first canonical pair explained 77.00% of the attribute variance. The landforms were shown to be efficient in mapping the variability of the soil and orange attributes and contributed to the understanding of the soil-plant system. (C) 2009 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent55-66
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofGeoderma
dc.sourceWeb of Science
dc.subjectGeostatisticsen
dc.subjectCanonical correlationen
dc.subjectLandscapeen
dc.subjectCitrusen
dc.titleThe use of landforms to predict the variability of soil and orange attributesen
dc.typeResumo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationUniv Estadual São Paulo UNESP, Dept Soils & Fertilizers, São Paulo, Brazil
dc.description.affiliationUniv Estadual São Paulo UNESP, Dept Exact Sci, São Paulo, Brazil
dc.description.affiliationUnespUniv Estadual São Paulo UNESP, Dept Soils & Fertilizers, São Paulo, Brazil
dc.description.affiliationUnespUniv Estadual São Paulo UNESP, Dept Exact Sci, São Paulo, Brazil
dc.identifier.doi10.1016/j.geoderma.2009.11.024
dc.identifier.wosWOS:000274504300007
dc.rights.accessRightsAcesso restrito
dc.relation.ispartofjcr3.740
dc.relation.ispartofsjr1,717
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