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Provedor de dados:  Sci. Agrar.Paran. / SAP
País:  Brazil
Título:  Soil Chemical and Spectroscopy Characteristics and the Effect of Management Practices
Soil management practices: chemical and spectroscopic characterization
Autores:  Nogueira, Barbara Arruda
Merlin, Nathalie
Santos, Poliana Macedo dos
Santos, José Alfredo Baptista dos
Saab, Sergio da Costa
Tonial, Larissa Macedo dos Santos
Data:  2018-06-14
Ano:  2018
Palavras-chave:  Spectroscopy
Chemometrics
Soil management
PCA
HCA
Resumo:  The aim of this study was to evaluated the facility to apply spectroscopic analysis coupled with chemometrics analysis as a rapid method for soil analysis. Soil samples from different depths (0-10, 10-20 and 20-30 cm) and treatment sites (area of fallow land for 5 years, area of no-tillage for 10 years and native forest) were applied in this study. Soil chemical characterization based on the concentration of macro-, micronutrients and the level of the toxic element showed significant different among to the samples under differences management systems. PCA and HCA analysis evaluated with soil chemical characterization showed that the samples were grouped according to the management systems. Similar results were obtained in the PCA and HCA analysis developed with FTIR spectra. The results support the application of FTIR to evaluate the quality of soil providing a simple, rapid, and nondestructive method for the soil science.

The aim of this study was to evaluate the possibility to apply chemical and spectroscopic analysis, coupled with chemometric tools, as a rapid method for soil characterization. Soil samples from different depths (0-10, 10-20 and 20-30 cm) and sites (fallow area for 5 years, area of no-tillage for 10 years and native forest) were applied in this study. Soil chemical characterization based on the concentration of macronutrients (P, K Ca, and Mg), micronutrients (Mn, Fe, Zn, and Cu), the level of aluminum, pH, organic matter (OM) and humification degree. For spectroscopic characterization, only the humic acid (HA) fraction was analyzed in the mid infrared spectrometer. Principal Components Analysis (PCA) and Hierarchical Clustering Analysis (HCA) showed clusters based on the management systems. These results support the application of chemometric toolls to evaluate the quality of soil providing a simple and rapid method for the soil science.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Português
Identificador:  http://e-revista.unioeste.br/index.php/scientiaagraria/article/view/16175
Editor:  Scientia Agraria Paranaensis
Relação:  http://e-revista.unioeste.br/index.php/scientiaagraria/article/view/16175/12754
Formato:  application/pdf
Fonte:  Scientia Agraria Paranaensis; Vol. 17, No 1 (2018); 119-126

1983-1471
Direitos:  http://creativecommons.org/licenses/by-nc-sa/4.0
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