1. RI UFLA
  2. Escola de Ciências Agrárias de Lavras - ESAL
  3. Departamento de Ciência do Solo - DCS
  4. DCS - Trabalhos apresentados em eventos
Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/36988
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Campo DCValorIdioma
dc.creatorLima, Tatiane Melo de-
dc.creatorRibeiro, Bruno Teixeira-
dc.creatorWeindorf, David C.-
dc.creatorLana, Regina Maria Quintão-
dc.creatorCuri, Nilton-
dc.creatorGuilherme, Luiz Roberto Guimarães-
dc.date.accessioned2019-09-28T12:32:40Z-
dc.date.available2019-09-28T12:32:40Z-
dc.date.issued2018-
dc.identifier.citationLIMA, T. M.de et al. Estimation of clay content in brazilian agricultural soils based on portable x-ray fluorescence data. In: WORLD CONGRESS OF SOIL SCIENCE, 21, 2018, Rio de Janeiro. Proceedings... Viçosa, MG: Sociedade Brasileira de Ciência do Solo, 2018. v. 2, p. 238.pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/36988-
dc.identifier.urihttps://www.21wcss.org/docs/Proceedings_of_the_21WCSS_Volume_II.pdf-
dc.languageen_USpt_BR
dc.rightsrestrictAccesspt_BR
dc.subjectProximal soil sensorspt_BR
dc.subjectSoil analysispt_BR
dc.subjectX-ray fluorescence analysispt_BR
dc.titleEstimation of clay content in brazilian agricultural soils based on portable x-ray fluorescence datapt_BR
dc.typeTrabalho apresentado em eventopt_BR
dc.description.resumoPortable X-ray fluorescence analysis (pXRF) has been used worldwide for rapid and low cost soil chemical characterization. Based on pXRF data, many soil attributes have been satisfactory estimated (e.g., soil texture). The mineralogy of tropical soils (Oxisols) is dominated (mainly) by kaolinite and Fe and Al-oxides (hematite, goethite, and gibbsite). Thus, a good correlation between clay content and oxide concentration can be expected. We hypothesized that rapid soil screening using pXRF to assess the oxide concentration could enable the estimation of soil clay content in Brazilian Oxisols under different land uses. One hundred and twenty six surface soil samples (0-20 cm) collected in different farms in the Triangulo Mineiro and Alto Paranaíba regions, Minas Gerais State, Brazil, were used in this study. The soil samples were air-dried and sieved (< 2 mm), and scanned using a Bruker® S1 Titan LE model (Dual Soil mode) pXRF; samples were each scanned for 60 s. The clay content was determined via Bouyoucos hydrometer method. Samples were randomly partitioned with 70% and 30% of soil samples used for modelling and validation, respectively. Based on simple linear regression, the clay content was well correlated to oxide concentration, mainly with (Al2O3 + Fe2O3) and (Al2O3 + Fe2O3 + TiO2). Using multiple linear regression, the clay content was well estimated (p<0.01) by the equation (clay = -67.25 + 1.95Al2O3 – 1.76Fe2O3) with R2 and R values of 0.83 and 0.91, respectively. The data validation resulted a correlation close to a 1:1 line (R2 = 0.83; R = 0.91 and RMSE = 79 g kg-1). Thus, we concluded that the Al2O3 and Fe2O3 concentrations obtained by pXRF were useful estimators of clay content for soils in a representative agricultural area in Brazil.pt_BR
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