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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/1384
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dc.contributor.authorSiqueira, D. S.-
dc.contributor.authorMarques, J.-
dc.contributor.authorPereira, G. T.-
dc.date.accessioned2014-05-20T13:13:40Z-
dc.date.accessioned2016-10-25T16:34:30Z-
dc.date.available2014-05-20T13:13:40Z-
dc.date.available2016-10-25T16:34:30Z-
dc.date.issued2010-05-15-
dc.identifierhttp://dx.doi.org/10.1016/j.geoderma.2010.02.017-
dc.identifier.citationGeoderma. Amsterdam: Elsevier B.V., v. 156, n. 3-4, p. 410-410, 2010.-
dc.identifier.issn0016-7061-
dc.identifier.urihttp://hdl.handle.net/11449/1384-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/1384-
dc.format.extent410-410-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.titleThe use of landforms to predict the variability of soil and orange attributes (vol 155, pg 55, 2010)en
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv Estadual Paulista, UNESP, Dept Soils & Fertilizers, Jaboticabal, SP, Brazil-
dc.description.affiliationUniv Estadual Paulista, UNESP, Dept Exact Sci, Jaboticabal, SP, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Dept Soils & Fertilizers, Jaboticabal, SP, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, Dept Exact Sci, Jaboticabal, SP, Brazil-
dc.identifier.doi10.1016/j.geoderma.2010.02.017-
dc.identifier.wosWOS:000277703200036-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofGeoderma-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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