Artigo em periódico indexado (CNPS) https://www.alice.cnptia.embrapa.br/alice/handle/item/349 2026-07-06T15:34:42Z 2026-07-06T15:34:42Z RODRÍGUEZ‐ALBARRACÍN, H. S. DEMATTÊ, J. A. M. CARVALHO NETO, M. P. P. ROSIN, N. A. CERRI, C. E. P. SILVA, C. A. da LIMA, J. R. de S. SOUZA, E. S. de MOITINHO, M. R. CONTRERAS, A. E. D. TEODORO, P. E. RATKE, R. F. SANTOS, U. J. dos ORESCA, D. https://www.alice.cnptia.embrapa.br/alice/handle/doc/1188013 2026-07-06T11:49:09Z 2026-01-01T00:00:00Z

Título: A soil sensing mechanism to reach carbon flux at a country scale. Autoria: RODRÍGUEZ‐ALBARRACÍN, H. S.; DEMATTÊ, J. A. M.; CARVALHO NETO, M. P. P.; ROSIN, N. A.; CERRI, C. E. P.; SILVA, C. A. da; LIMA, J. R. de S.; SOUZA, E. S. de; MOITINHO, M. R.; CONTRERAS, A. E. D.; TEODORO, P. E.; RATKE, R. F.; SANTOS, U. J. dos; ORESCA, D. Conteúdo: Soil is the largest terrestrial carbon reservoir and can be a source or sink of CO2 for the atmosphere, depending on management practices. CO2 emissions from the soil surface (FCO2) are directly related to the biological and physicochemical soil properties. Our objective was to estimate and spatialize the net ecosystem production (NEP) for the Brazilian territory, using visible (400-700 nm), near infrared (700-1100 nm), shortwave infrared (1100-2500 nm), (and mid-infrared (2500-25,000 nm, 4000-400 cm- 1) reflectance spectroscopy, digital soil mapping, and machine learning. We created FCO2 and carbon sequestration potential prediction models using soil physical, chemical, and microbiological properties as covariates, while the spatialization was based on a bare soil image, relief, climate, and soil mineralogy. A multivariate regression model with R 2 of 0.35 was fitted for FCO2 and a spatial error model with R 2 0.76 for carbon sequestration. The accuracy of the spatialization ranged from 0.41 to 0.76, with a correlation of 0.56 in an external validation. The NEP map highlights negative balances in the Cerrado, Mata Atl & acirc;ntica, Caatinga, and Amazon biomes, with strong influence of mineralogy, where soils rich in iron oxides are below their carbon-storage capacity. Our methodology can be used as an approximation of the C fixation potential in agroecosystems and contribute to climate change mitigation.

2026-01-01T00:00:00Z ROCHA, M. C. CARMO, M. G. F. do POLIDORO, J. C. SILVA, D. A. G. da FERNANDES, M. do C. A. https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187955 2026-07-05T11:47:00Z 2006-01-01T00:00:00Z

Título: Características de frutos de pimentão pulverizados com produtos de ação bactericida. Autoria: ROCHA, M. C.; CARMO, M. G. F. do; POLIDORO, J. C.; SILVA, D. A. G. da; FERNANDES, M. do C. A. Conteúdo: Muitas das tecnologias desenvolvidas para a cultura do pimentão estão voltadas para a melhoria da produtividade e da aparência dos frutos sem considerar aspectos como sabor, valor nutricional e resíduos tóxicos remanescentes. O presente trabalho teve como objetivos avaliar o efeito de pulverizações semanais com biofertilizante Agrobio (5%), oxicloreto de cobre (2,4 g L-1), sulfato de estreptomicina + oxitetraciclina (0,8 g L-1) e testemunha (água), sobre a produtividade e a qualidade de frutos de três cultivares de pimentão: Magda, Cascadura Itaipu e o híbrido Magali R. Adotou-se o delineamento de blocos ao acaso com quatro repetições, em esquema fatorial (4x3). As variáveis analisadas foram produtividade, características físicas e físico-químicas, teor e acúmulo de fósforo, cobre e chumbo nos frutos. Observou-se maior diâmetro longitudinal e volume dos frutos e maiores produtividade e eficiência no aproveitamento do fósforo pelo híbrido ‘Magali R’. Observaram-se diferenças entre as cultivares quanto à taxa de acúmulo de cobre nos frutos, tendo sido quatro vezes maior em frutos de "Magda" pulverizados com oxicloreto de cobre que nos demais tratamentos e, nenhum efeito dos tratamentos sobre o acúmulo de chumbo. Os teores de cobre e chumbo encontrados, porém, estão dentro da faixa aceitável pela Anvisa. Constatou-se, ainda, que as aplicações de cobre afetam o sabor dos frutos, principalmente por influenciar em sua acidez total titulável, expressa em maiores teores de ácido cítrico e menores valores de pH. Os resultados apontam, ainda, para uma relação entre acúmulo de cobre nos frutos e eficiência do uso de fósforo, sendo, porém, necessários novos estudos para sua comprovação.

2006-01-01T00:00:00Z RAMOS, J. F. K. FERREIRA, A. C. C. FRANCISCO, G. C. BENITES, V. de M. ARTHUR JUNIOR, J. C. https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187953 2026-07-05T11:46:58Z 2026-01-01T00:00:00Z

Título: Performance of organic waste containers for Libidibia Ferrea seedling production. Autoria: RAMOS, J. F. K.; FERREIRA, A. C. C.; FRANCISCO, G. C.; BENITES, V. de M.; ARTHUR JUNIOR, J. C. Conteúdo: The proper use of agro-industrial waste is a sustainability strategy and can be applied in the forestry chain to replace polypropylene tubes. This study evaluated the performance of three different biodegradable containers (110 cm3), made from malt bagasse, poultry litter, and coconut coir fiber, respectively, in the production of Libidibia ferrea seedlings, and compared them with the control container (polypropylene) under nursery conditions. Morphological parameters and the Dickson Quality Index (DQI) were evaluated. Seedlings grown in malt bagasse showed superior growth in all morphological parameters (p < 0.01) and the highest DQI (0.23), significantly surpassing the other treatments. Malt bagasse provided total biomass gains (TBM) up to 6 times higher than polypropylene. Poultry litter and coconut coir fiber containers showed comparable performance to polypropylene. It is concluded that malt bagasse is a highly efficient technical and sustainable alternative container for producing L. ferrea seedlings.

2026-01-01T00:00:00Z CARDOSO, M. C. DEMATTÊ, J. A. M. BARTSCH, B. dos A. TZIOLAS, N. KRITHAROULA, A. GALLIOS, G. ROSAS, J. T. F. ROSIN, N. A. NOVAIS, J. de J. M. SOUSA, G. P. B. de FALCIONI, R. VOGEL, L. G. https://www.alice.cnptia.embrapa.br/alice/handle/doc/1187931 2026-07-05T11:50:13Z 2026-01-01T00:00:00Z

Título: A soil satellite spectral service (Sat4): a strategy for stakeholders. Autoria: CARDOSO, M. C.; DEMATTÊ, J. A. M.; BARTSCH, B. dos A.; TZIOLAS, N.; KRITHAROULA, A.; GALLIOS, G.; ROSAS, J. T. F.; ROSIN, N. A.; NOVAIS, J. de J. M.; SOUSA, G. P. B. de; FALCIONI, R.; VOGEL, L. G. Conteúdo: Soil spectral libraries (SSLs) are commonly built with expensive proximal sensors, while satellite spectral data are free and widely available. This study investigates how service providers can construct a satellite-based SSL to deliver soil information to stakeholders. We propose the Soil Satellite Spectral Service (Sat4-Service) strategy to estimate clay content and soil organic carbon (SOC) in agricultural bare topsoil (the first 10 cm) from farm to national scale in Brazil. Bare-soil reflectance from Landsat-8 and Sentinel-2 was compared with laboratory spectra from 7711 topsoil samples, showing strong correspondence between lab spectra resampled to the satellite bandpasses and the SySI composites, with a mean Pearson correlation across all multispectral bands and both sensors of r ≈ 0.72. We then simulated a provider progressively building a satellite-derived SSL as new clients and soil data were added. With each farm, the dataset expanded and predictive models were retrained. Model accuracy varied initially but stabilized after ∼50 clients, reaching R2 = 0.63 for SOC and 0.79 for clay using both satellites. In contrast, a national model based on >60,000 samples performed worse on the same farms (R2 = 0.43 for SOC, 0.65 for clay). Findings show that multispectral imagery can reliably estimate soil clay and carbon, and that models built on regional or farm-level data often outperform broad continental-scale libraries. While global models provide useful first approximations—especially for newcomers or data-scarce areas—regionally focused spectral libraries ensure higher accuracy. The Sat4-Service framework highlights the potential of satellite data to deliver cost-effective, scalable soil information, with applications in precision agriculture, carbon crediting, and digital soil mapping.

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