TY - JOUR
T1 - Portable x-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in inceptisols under different land use
AU - Teixeira, Anita Fernanda dos Santos
AU - Weindorf, David C.
AU - Silva, Sérgio Henrique Godinho
AU - Guilherme, Luiz Roberto Guimarães
AU - Curi, Nilton
N1 - Publisher Copyright:
© 2018, Federal University of Lavras. All rights reserved.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - 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, P 2 O 5 , Cu, and Zn. CaO content was efficient for prediction of exchangeable Ca 2+ contents (R 2 = 0.91), pH (R 2 = 0.88), base saturation (R 2 = 0.89) in managed areas. General models presented adequate results to predict exchangeable Ca 2+ (R 2 = 0.92), pH (R 2 = 0.85), and base saturation (R 2 = 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.
AB - 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, P 2 O 5 , Cu, and Zn. CaO content was efficient for prediction of exchangeable Ca 2+ contents (R 2 = 0.91), pH (R 2 = 0.88), base saturation (R 2 = 0.89) in managed areas. General models presented adequate results to predict exchangeable Ca 2+ (R 2 = 0.92), pH (R 2 = 0.85), and base saturation (R 2 = 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.
KW - Brazilian Cerrado
KW - Proximal sensor
KW - Soil fertility
KW - Soil management
KW - Soil property modeling
UR - http://www.scopus.com/inward/record.url?scp=85061596536&partnerID=8YFLogxK
U2 - 10.1590/1413-70542018425017518
DO - 10.1590/1413-70542018425017518
M3 - Article
AN - SCOPUS:85061596536
SN - 1413-7054
VL - 42
SP - 501
EP - 512
JO - Ciencia e Agrotecnologia
JF - Ciencia e Agrotecnologia
IS - 5
ER -