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Publicação:
Magnetic susceptibility in the prediction of soil attributes in southern Brazil

dc.contributor.authorRamos, Priscila Vogelei
dc.contributor.authorInda, Alberto Vasconcellos
dc.contributor.authorBarron, Vidal
dc.contributor.authorTeixeira, Daniel De Bortoli
dc.contributor.authorMarques, Jose [UNESP]
dc.contributor.institutionUniv Fed Rio Grande do Sul
dc.contributor.institutionUniv Cordoba
dc.contributor.institutionUniv Marilia
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2021-06-25T12:39:10Z
dc.date.available2021-06-25T12:39:10Z
dc.date.issued2021-02-26
dc.description.abstractGlobal demand for soil information has led to investigations that have adopted ways to estimate soil attributes quickly and effectively. In this context, magnetic susceptibility (chi) has gained prominence because it is a technique capable of estimating other attributes that are more difficult to acquire. This study aimed to (a) evaluate the performance of chi for the prediction of sand, silt, clay, hue, hematite/(hematite + goethite) ratio, Fe content of pedogenic iron oxides, and remaining phosphorus and (b) develop maps of chi, soil attributes and attributes predicted by chi in the state of Rio Grande do Sul (RS), Brazil. Here, 198 soil samples under forest and native pasture were used for testing the potential of chi as a predictive technique, separating the data into calibration (n(c) = 149) and validation sets (n(v) = 49). Linear regression was used to obtain the pedotransfer equations according to soil classes and lithology. To visualize the distribution of the values of chi and other soil attributes in RS, maps were made with the real values of chi and the real and estimated values of soil attributes. The great range of the chi values and related attributes was associated with the lithological and pedological influence, allowing the construction of predictive models that encompass a large gradient of chi. In the predictions made in groups, the attributes of Oxisols and Ultisols were best estimated by chi; however, among the lithology groups, the extrusive igneous rocks stood out.en
dc.description.affiliationUniv Fed Rio Grande do Sul, Fac Agron, Dept Soils, BR-91540000 Porto Alegre, RS, Brazil
dc.description.affiliationUniv Cordoba, Dept Agron, Cordoba 14071, Spain
dc.description.affiliationUniv Marilia, Ctr Agr Sci, BR-17525902 Marilia, SP, Brazil
dc.description.affiliationState Univ Sao Paulo, Res Grp Caracterizacao Solo Fins Manejo Especif, Dept Soils & Fertilizers, BR-14883292 Jaboticabal, Brazil
dc.description.affiliationUnespState Univ Sao Paulo, Res Grp Caracterizacao Solo Fins Manejo Especif, Dept Soils & Fertilizers, BR-14883292 Jaboticabal, Brazil
dc.description.sponsorshipBrazilian Coordinating Body for Higher-Level Staff Improvement
dc.description.sponsorshipSpanish Ministry of Economy and Competitiveness
dc.description.sponsorshipIdSpanish Ministry of Economy and Competitiveness: AGL 2017-87074-C2-2-R
dc.format.extent102-116
dc.identifierhttp://dx.doi.org/10.1002/saj2.20164
dc.identifier.citationSoil Science Society Of America Journal. Hoboken: Wiley, v. 85, n. 1, p. 102-116, 2021.
dc.identifier.doi10.1002/saj2.20164
dc.identifier.issn0361-5995
dc.identifier.urihttp://hdl.handle.net/11449/210083
dc.identifier.wosWOS:000624129100001
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofSoil Science Society Of America Journal
dc.sourceWeb of Science
dc.titleMagnetic susceptibility in the prediction of soil attributes in southern Brazilen
dc.typeArtigo
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dcterms.rightsHolderWiley-Blackwell
dspace.entity.typePublication
unesp.author.orcid0000-0003-1484-1655[3]
unesp.departmentSolos e Adubos - FCAVpt

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