Data/hora: 26/09/2024 05:05:07

Biblioteca(s): 	Embrapa Agrobiologia.	
Data corrente: 	16/11/2020	
Data da última atualização: 	08/01/2021	
Autoria: 	SANTOS, U. J. dos; DEMATTÊ, J. A. de M.; MENEZES, R. S. C.; DOTTO, A. C.; GUIMARÃES, C. C. B.; ALVES, B. J. R.; PRIMO, D. C.; SAMPA, E. V. de S. B.	
Afiliação: 	Uemeson José dos Santos, UFPE; José Alexandre de Melo Demattê, Unesp - Piracicaba; Rômulo Simões Cezar Menezes, UFPE; André Carnieletto Dotto, UNESP - PIRACICABA; Clécia Cristina Barbosa Guimarães, Unesp - Piracicaba; BRUNO JOSE RODRIGUES ALVES, CNPAB; Dário Costa Primo, UFPE; Everardo Valadares de Sá Barretto Sampa, UFPE.	
Título: 	Predicting carbon and nitrogen by visible near-infrared (Vis-NIR) .and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil.	
Ano de publicação: 	2020	
Fonte/Imprenta: 	Geoderma Regional, v. 23, e00333, December 2020.	
DOI: 	https://doi.org/10.1016/j.geodrs.2020.e00333	
Idioma: 	Português	
Conteúdo: 	Determinations of soil carbon and nitrogen stocks are important to evaluate land fertility and agricultural potential and because of their influence on the global climate. Spectroscopic determinations are faster, cheaper and less pollutant than traditional methods. The potential use of spectroscopy in the visible (Vis), near infrared (NIR) and mid-infrared (MIR) regions and their combination to estimate total C and N concentrations were evaluated using seven different pre-processing and two regression models and comparing to the concentrations determined by dry combustion of 701 soil samples from different soil classes and land uses in Northeast Brazil. Better C and N concentration predictions were obtained with the MIR region than with the Vi -NIR region and no significant improvement occurred when the two spectra were combined. The support vector machine (SVM) and the partial least squares (PLSR) models had similar performances both for C and N. The multiplicative scatter correction pre-processing is recommended for C and the standard normal transformation technique for N. Equations to estimate soil C and N concentrations of the predominant soil classes in the region and of the set of all classes are provided. Their high accuracy confirm the potential of reflectance spectroscopy as a useful and rapid tool to quantify C and N concentrations in different tropical soils and under different land uses.	
Palavras-Chave: 	Chemometrics Spectral regions.	
Thesaurus Nal: 	Acrisols; Soil quality; Spectral analysis.	
Categoria do assunto: 	P Recursos Naturais, Ciências Ambientais e da Terra	
Registro original: 	Embrapa Agrobiologia (CNPAB)