| Revista: | Scientia Agricola |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000455516 |
| ISSN: | 0103-9016 |
| Autores: | Rosin, Nicolas Augusto1 Dalmolin, Ricardo Simão Diniz1 Horst Heinen, Taciara Zborowski1 Moura Bueno, Jean Michel1 Silva Sangoi, Daniely Vaz da1 Silva, Leandro Souza da1 |
| Instituciones: | 1Universidade Federal de Santa Maria, Centro de Ciencias Rurais, Santa Maria, Rio Grande do Sul. Brasil |
| Año: | 2021 |
| Volumen: | 78 |
| Número: | 5 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en inglés | Diffuse reflectance spectroscopy (DRS) has the potential to predict soil organic carbon (SOC). However, it is still little used as a matter of routine in soil laboratories in Brazil. The objective of this study was to make evaluations as to whether SOC predicted by spectral techniques can replace measurement by routine chemical methods with no loss in quality and be applied in the recommendation of nitrogen fertilizer as well as identifying the best prediction strategies to use. A data set containing 2,471 samples from six soil spectral libraries (SSL) was used to develop spectroscopic models for SOC content prediction, including consideration of sample stratification and preprocessing techniques. The SOC was quantified through the analytical-chemical methods of wet combustion with determination by titration, designated as the reference method (REM), and colorimeter, designated as the routine method (ROM in an independent data set). SOC contents predicted by the spectral analysis method (SAM) were compared to the REM and ROM results, converted to soil organic matter (SOM) and used for N recommendations. The best estimate for SOM content using the SAM was achieved through stratification of the SSL and application of the standard normal variate (SNV) preprocessing. The SOC predicted by spectral techniques proved capable of replacing the SOC measured by routine chemical methods with no loss of quality and supported by an appropriate nitrogen fertilizer recommendation, provided the models met the conditions and possessed the characteristics of the samples to be analyzed |
| Disciplinas: | Agrociencias |
| Palabras clave: | Suelos, Fertilidad del suelo, Distribución espacial, Espectroscopía de reflectancia difusa, Carbono orgánico, Nitrógeno, Brasil |
| Keyword: | Soils, Soil fertility, Spatial distribution, Diffuse reflectance spectroscopy, Organic carbon, Nitrogen |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
