| Revista: | Acta scientiarum. Agronomy |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000459974 |
| ISSN: | 1679-9275 |
| Autores: | Martins, Juliano Araujo1 Fiorio, Peterson Ricardo2 Barros, Pedro Paulo da Silva3 Demattê, José Alexandre Melo2 Molin, José Paulo2 Cantarella, Heitor4 Neale, Christopher Michael Usher5 |
| Instituciones: | 1Instituto Federal do Mato Grosso, Sorriso, Mato Grosso. Brasil 2Universidade de Sao Paulo, Escola Superior de Agricultura "Luiz de Queiroz", Piracicaba, Sao Paulo. Brasil 3Universidade Federal de Uberlandia, Monte Carmelo, Minas Gerais. Brasil 4Instituto Agronomico de Campinas, Centro de Solos e Recursos Ambientais, Campinas, Sao Paulo. Brasil 5University of Nebraska, Department of Biological Systems Engineering, Lincoln, Nebraska. Estados Unidos de América |
| Año: | 2021 |
| Volumen: | 43 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, analítico |
| Resumen en inglés | Nitrogen management in crops is a key activity for agricultural production. Methods that can determine the levels of this element in plants in a quick and non-invasive way are extremely important for improving production systems. Within several fronts of study on this subject, proximal and remote sensing methods are promising techniques. In this regard, this research sought to demonstrate the relationships between variations in leaf nitrogen content (LNC) and sugarcane spectral behaviour. The work was carried out in three experimental areas in São Paulo State, Brazil, with different soils, varieties and nitrogen rates during the 2012/13 and 2013/14 seasons. A significant correlation was observed between the LNC and variations in the sugarcane spectra. The green and red-edge spectral bands were the most consistent and stable predictors of LNC among the evaluated harvests. Stepwise multiple linear regression analysis (MSLR) generated better models for LNC estimation when calibrated with experimental area, independent of the variety. The present research demonstrates that specific wavelengths are associated with the variation in LNC in sugarcane, and these are reported in the green region (near 550 nm) and in the red-edge wavelengths (680 to 720 nm). These results may help in future research on the direct in situ application of nitrogen fertilizers |
| Disciplinas: | Agrociencias |
| Palabras clave: | Gramíneas, Caña de azúcar, Nitrógeno, Modelos de regresión |
| Keyword: | Gramineae, Sugar cane, Nitrogen, Regression models |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
