Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses

Detalhes bibliográficos
Autor(a) principal: Teixeira, Anita Fernanda dos Santos
Data de Publicação: 2018
Outros Autores: Weindorf, David C., Silva, Sérgio Henrique Godinho, Guilherme, Luiz Roberto Guimarães, Curi, Nilton
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/34317
Resumo: Portable X-ray fluorescence (pXRF) spectrometry has been increasingly adopted for varying studies worldwide. This work aimed at characterizing effects of soil management on the content of chemical elements detected by pXRF in managed and unmanaged areas of Inceptisols, and evaluating the potential of using pXRF data to generate prediction models for soil fertility attributes, evaluating the effect of land uses on such models. Samples were collected in A, B, and C horizons of soils under native forest, native Cerrado, coffee crops with 1 and 5 years of implantation and eucalyptus. Soil fertility attributes were determined through laboratory analyses, whereas, elemental contents were obtained through pXRF analysis. PXRF data were used for modeling (regressions) and validation of soil fertility attributes and necessity of lime (NL) application, with or without distinction between managed and unmanaged areas. Management practices on coffee crops increased the levels of Sr, CaO, P2O5, Cu, and Zn. CaO content was efficient for prediction of exchangeable Ca2+ contents (R2 = 0.91), pH (R2 = 0.88), base saturation (R2 = 0.89) in managed areas. General models presented adequate results to predict exchangeable Ca2+ (R2 = 0.92), pH (R2 = 0.85), and base saturation (R2 = 0.90). Models for unmanaged areas were less effective. PXRF detected modifications in elemental contents caused by management practices and provided reliable predictions of soil fertility attributes.
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spelling Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land usesEspectrometria portátil de fluorescência de raios-x (pXRF) aplicada à predição de atributos químicos de Cambissolos sob diferentes usosSoil property modelingSoil managementSoil fertilityBrazilian cerradoProximal sensorModelagem de atributos do soloManejo do soloFertilidade do soloCerrado brasileiroSensor próximoPortable X-ray fluorescence (pXRF) spectrometry has been increasingly adopted for varying studies worldwide. This work aimed at characterizing effects of soil management on the content of chemical elements detected by pXRF in managed and unmanaged areas of Inceptisols, and evaluating the potential of using pXRF data to generate prediction models for soil fertility attributes, evaluating the effect of land uses on such models. Samples were collected in A, B, and C horizons of soils under native forest, native Cerrado, coffee crops with 1 and 5 years of implantation and eucalyptus. Soil fertility attributes were determined through laboratory analyses, whereas, elemental contents were obtained through pXRF analysis. PXRF data were used for modeling (regressions) and validation of soil fertility attributes and necessity of lime (NL) application, with or without distinction between managed and unmanaged areas. Management practices on coffee crops increased the levels of Sr, CaO, P2O5, Cu, and Zn. CaO content was efficient for prediction of exchangeable Ca2+ contents (R2 = 0.91), pH (R2 = 0.88), base saturation (R2 = 0.89) in managed areas. General models presented adequate results to predict exchangeable Ca2+ (R2 = 0.92), pH (R2 = 0.85), and base saturation (R2 = 0.90). Models for unmanaged areas were less effective. PXRF detected modifications in elemental contents caused by management practices and provided reliable predictions of soil fertility attributes.Espectrômetria portátil de fluorescência de raios-X (pXRF) tem sido crescentemente adotada para estudos sobre solos. Este trabalho objetivou caracterizar efeitos do manejo do solo no teor de elementos químicos detectados pelo pXRF em Cambissolos manejados e não manejados e avaliar o potencial de uso de dados do pXRF para gerar modelos de predição da fertilidade do solo. Amostras foram coletadas em floresta nativa, Cerrado nativo, cafeeiros com 1 e 5 anos de implantação e eucalipto, nos horizontes A, B e C. Atributos de fertilidade do solo foram determinados por análises laboratoriais, enquanto o teor dos elementos foi obtido pelo pXRF. Dados do pXRF foram utilizados para modelagem (regressões) e validação de atributos de fertilidade do solo, além da necessidade de calagem (NL), com ou sem distinção entre áreas manejadas e não manejadas. Práticas de manejo dos cafeeiros aumentaram os teores totais de Sr, CaO, P2O5, Cu e Zn. Os teores de CaO foram eficientes para predição de teores trocáveis de Ca2+ (R2 = 0,91), pH (R2 = 0,88) e saturação por bases (R2 = 0,89) nas áreas manejadas. Modelos gerais foram adequados para predizer teores trocáveis de Ca2+ (R2 = 0,92), pH (R2 = 0,85) e saturação por bases (R2 = 0,90). Modelos para áreas não manejadas foram menos eficazes. O pXRF detectou modificações no teor dos elementos causadas pelas práticas de manejo e possibilitou predições adequadas de atributos relacionados à fertilidade do solo.Universidade Federal de Lavras2019-05-21T11:43:36Z2019-05-21T11:43:36Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfTEIXEIRA, A. F. dos S. et al. Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses. Ciência e Agrotecnologia, Lavras, v. 42, n. 5, p. 501-512, Sept./Oct. 2018.http://repositorio.ufla.br/jspui/handle/1/34317Ciência e Agrotecnologiareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessTeixeira, Anita Fernanda dos SantosWeindorf, David C.Silva, Sérgio Henrique GodinhoGuilherme, Luiz Roberto GuimarãesCuri, Niltoneng2021-12-09T13:06:57Zoai:localhost:1/34317Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-12-09T13:06:57Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses
Espectrometria portátil de fluorescência de raios-x (pXRF) aplicada à predição de atributos químicos de Cambissolos sob diferentes usos
title Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses
spellingShingle Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses
Teixeira, Anita Fernanda dos Santos
Soil property modeling
Soil management
Soil fertility
Brazilian cerrado
Proximal sensor
Modelagem de atributos do solo
Manejo do solo
Fertilidade do solo
Cerrado brasileiro
Sensor próximo
title_short Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses
title_full Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses
title_fullStr Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses
title_full_unstemmed Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses
title_sort Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses
author Teixeira, Anita Fernanda dos Santos
author_facet Teixeira, Anita Fernanda dos Santos
Weindorf, David C.
Silva, Sérgio Henrique Godinho
Guilherme, Luiz Roberto Guimarães
Curi, Nilton
author_role author
author2 Weindorf, David C.
Silva, Sérgio Henrique Godinho
Guilherme, Luiz Roberto Guimarães
Curi, Nilton
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Teixeira, Anita Fernanda dos Santos
Weindorf, David C.
Silva, Sérgio Henrique Godinho
Guilherme, Luiz Roberto Guimarães
Curi, Nilton
dc.subject.por.fl_str_mv Soil property modeling
Soil management
Soil fertility
Brazilian cerrado
Proximal sensor
Modelagem de atributos do solo
Manejo do solo
Fertilidade do solo
Cerrado brasileiro
Sensor próximo
topic Soil property modeling
Soil management
Soil fertility
Brazilian cerrado
Proximal sensor
Modelagem de atributos do solo
Manejo do solo
Fertilidade do solo
Cerrado brasileiro
Sensor próximo
description Portable X-ray fluorescence (pXRF) spectrometry has been increasingly adopted for varying studies worldwide. This work aimed at characterizing effects of soil management on the content of chemical elements detected by pXRF in managed and unmanaged areas of Inceptisols, and evaluating the potential of using pXRF data to generate prediction models for soil fertility attributes, evaluating the effect of land uses on such models. Samples were collected in A, B, and C horizons of soils under native forest, native Cerrado, coffee crops with 1 and 5 years of implantation and eucalyptus. Soil fertility attributes were determined through laboratory analyses, whereas, elemental contents were obtained through pXRF analysis. PXRF data were used for modeling (regressions) and validation of soil fertility attributes and necessity of lime (NL) application, with or without distinction between managed and unmanaged areas. Management practices on coffee crops increased the levels of Sr, CaO, P2O5, Cu, and Zn. CaO content was efficient for prediction of exchangeable Ca2+ contents (R2 = 0.91), pH (R2 = 0.88), base saturation (R2 = 0.89) in managed areas. General models presented adequate results to predict exchangeable Ca2+ (R2 = 0.92), pH (R2 = 0.85), and base saturation (R2 = 0.90). Models for unmanaged areas were less effective. PXRF detected modifications in elemental contents caused by management practices and provided reliable predictions of soil fertility attributes.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019-05-21T11:43:36Z
2019-05-21T11:43:36Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv TEIXEIRA, A. F. dos S. et al. Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses. Ciência e Agrotecnologia, Lavras, v. 42, n. 5, p. 501-512, Sept./Oct. 2018.
http://repositorio.ufla.br/jspui/handle/1/34317
identifier_str_mv TEIXEIRA, A. F. dos S. et al. Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses. Ciência e Agrotecnologia, Lavras, v. 42, n. 5, p. 501-512, Sept./Oct. 2018.
url http://repositorio.ufla.br/jspui/handle/1/34317
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras
publisher.none.fl_str_mv Universidade Federal de Lavras
dc.source.none.fl_str_mv Ciência e Agrotecnologia
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1807835208597110784

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