Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land uses
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
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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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 |