| Texto completo | |
| Autor(es): |
Babos, Diego V.
;
Tadini, Amanda M.
;
De Morais, Carla P.
;
Barreto, Bianca B.
;
Carvalho, Mayara A. R.
;
Bernardi, Alberto C. C.
;
Oliveira, Patricia P. A.
;
Pezzopane, Jose R. M.
;
Milori, Debora M. B. P.
;
Martin-Neto, Ladislau
Número total de Autores: 10
|
| Tipo de documento: | Artigo Científico |
| Fonte: | CATENA; v. 239, p. 13-pg., 2024-02-22. |
| Resumo | |
The rapid determination of soil fertility assists in improving agricultural production and reducing environmental impacts. With a new concept of precision agriculture and digital agriculture, new demands have been generated using sensors, methods, and protocols to improve analysis time and agricultural production. In this context, multivariate calibration models (multiple linear regression) were calculated for the indirect prediction of eight parameters of soil fertility, pH (H2O and CaCl2 extractors), cation exchange capacity, sum of bases, base saturation, Ca-exchangeable, Mg-exchangeable, and labile P, using laser-induced breakdown spectroscopy (LIBS), and also, for some parameters laser-induced fluorescence spectroscopy. Soil samples from a native forest (NF) and different agricultural production systems, such as integrated crop-livestock-forest system (CLFS), integrated livestock-forest system (LFS), integrated crop-livestock system (CLS), extensive (EXT), and intensive (INT) pastures, were collected from 0 to 40 cm depth (195 samples). Calibration models with good performance (0.62 <= R2 values <= 0.87, and 1.61 <= residual prediction deviation values <= 2.86) and adequate root mean squared error of prediction (RMSEP) values were obtained for the seven fertility parameters (0.74 <= r values <= 0.97, for the validation set), except for labile P (r = 0.44 and RPD =1.35). Through principal component analysis (PCA) it was verified the formation of two clusters, referring to samples of more fertile soils of the production systems (CLFS and LFS) and NF that present the tree variable, and the other group referring to samples of soils of low fertility (EXT, INT, and CLS). To evaluate and exemplify the use of LIBS for precision and digital agriculture, in-depth soil chemical attributes and spatial variability, maps were obtained for an analyzed area of the integrated CLFS. The LIBS technique can determine and assist in evaluating the variability of soil fertility attributes with reliability, agility (without the need for extraction procedures since the soil is thoroughly analyzed in the form of pellets), and accuracy. (AU) | |
| Processo FAPESP: | 23/02444-5 - Entendendo sistemas intensificados e integrados de produção: do mundo quântico à agricultura de baixa emissão de carbono |
| Beneficiário: | Ladislau Martin Neto |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático |
| Processo FAPESP: | 17/20084-5 - Práticas estratégicas para mitigação das emissões de gases de efeito estufa em sistemas de pastagem do Sudeste brasileiro |
| Beneficiário: | Paulo Henrique Mazza Rodrigues |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático |
| Processo FAPESP: | 19/02939-9 - Avaliação estrutural e molecular da matéria orgânica do solo de sistemas integrados lavoura-pecuária-floresta |
| Beneficiário: | Amanda Maria Tadini |
| Modalidade de apoio: | Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado |
| Processo FAPESP: | 19/14144-0 - Qualidade física do solo em sistemas integrados de produção agropecuária, pastagens e floresta nativa: correlação entre medidas de campo, analíticas e digitais |
| Beneficiário: | Gustavo Pereira Valani |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 17/22950-1 - Dinâmica, reatividade e aspectos estruturais da matéria orgânica de solos sob sistemas de integração lavoura-pecuária-floresta |
| Beneficiário: | Amanda Maria Tadini |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |