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    <title>DSpace Coleção: Artigo em periódico indexado (CNPS)</title>
    <link>https://www.alice.cnptia.embrapa.br/alice/handle/item/349</link>
    <description>Artigo em periódico indexado (CNPS)</description>
    <pubDate>Fri, 15 May 2026 13:39:01 GMT</pubDate>
    <dc:date>2026-05-15T13:39:01Z</dc:date>
    <item>
      <title>Soybean performance as affected by lime and gypsum incorporation through tillage versus surface application in pasture-to-cropland conversion areas in Southeast Brazil.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186745</link>
      <description>Título: Soybean performance as affected by lime and gypsum incorporation through tillage versus surface application in pasture-to-cropland conversion areas in Southeast Brazil.
Autoria: RODRIGUES, P. P.; BATISTA, J. N.; GUARESCHI, R. F.; JANTALIA, C. P.; ALVES, B. J. R.; URQUIAGA, S.; LIMA, E. S. A.; SOUZA FILHO, B. F. de; ZILLI, J. E.
Conteúdo: Lime and gypsum are widely used to correct soil acidity and improve grain yields in Brazilian agricultural systems. However, limited information is available on their effectiveness and application practices in degraded sandy soils typical of older agricultural frontiers, such as those in Rio de Janeiro State. This study evaluated the effects of surface application versus the incorporation of lime and gypsum into the soil through tillage operations on soil chemical properties, nodulation, and grain yield of soybean cultivars grown in low-fertility Fluvisols. The experiment was conducted during the 2021/2022 growing season in Campos dos Goytacazes, Rio de Janeiro, using a strip-plot design with four soybean cultivars and two soil amendment placement strategies: surface application without tillage and incorporation through tillage. Soil chemical attributes, nodulation, nutrient uptake, and yield components were assessed. Incorporated application significantly increased soil pH, reduced Al3+ toxicity, and enhanced Ca2+, Mg2+, P, and K+ availability compared to surface application. Nodulation responses varied among cultivars, with incorporated treatments promoting up to 40% greater nodule biomass. Although primary root length was not affected, incorporation stimulated secondary root development and nutrient uptake, leading to approximately 50% higher pod number and grain yield. Overall, incorporating lime and gypsum through soil tillage was more effective than surface application in improving soil fertility, enhancing nodulation, and increasing soybean productivity under the conditions evaluated in this study. These findings suggest that lime and gypsum incorporation can represent an important management strategy for improving soybean production in degraded sandy soils.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186745</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Response of corn to potassic organomineral fertilizer in an Oxisol.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186744</link>
      <description>Título: Response of corn to potassic organomineral fertilizer in an Oxisol.
Autoria: OLIVEIRA, C. de F.; TEZOTTO, T.; BENITES, V. de M.; ALLEONI, L. R. F.
Conteúdo: Purpose: Corn (Zea mays L.) requires an adequate supply of potassium (K) to achieve high productivity. Potassium chloride (KCl) is the main fertilizer source used, but its excessive application can increase soil salinity and production costs. Organomineral fertilizers (OMF) have emerged as an alternative, as they improve soil attributes and supply nutrients. In this study, the effects of an OMF fertilizer were compared with KCl, based on the external critical level (CL) of K for corn in a sandy loam Typic Hapludox. Method: The experiment was conducted in a greenhouse using a randomized complete block design with five treatments and four replications. The applied K rates ranged from 40% below to 20% above the CL. Biometric and plant tissue data were evaluated. Results: OMF showed equivalent or superior efficacy compared to KCl, especially at rates suitable for the crop. The use of OMF enhanced calcium and magnesium uptake and exhibited the highest agronomic efficiency of K use across all evaluated rates, with an average value 24% higher than that of KCl. Both fertilizers had similar K uptake efficiency, while apparent recovery efficiency ranged from 55 to 70% for OMF and 77 to 94% for KCl. Conclusion: Both fertilizers exhibited similar efficacy, and the choice should consider availability and cost. In addition to being a viable alternative, OMF offers environmental benefits and contributes to organic waste management, promoting more sustainable agricultural practices and aligning with the United Nations Sustainable Development Objectives.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186744</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Soil organic carbon stock changes over 40 years in Brazil: a country-scale assessment using soil science-informed machine learning.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186625</link>
      <description>Título: Soil organic carbon stock changes over 40 years in Brazil: a country-scale assessment using soil science-informed machine learning.
Autoria: ROSIN, N. A.; DEMATTÊ, J. A. M.; MINASNY, B.; POPPIEL, R. R.; BARTSCH, B. dos A.; ROSAS, J. T. F.; RODRÍGUEZ-ALBARRACÍN, H. S.; CHERUBIN, M. R.; CERRI, C. E. P.; VICENTE, L. E.
Conteúdo: Brazil is at the forefront of both forest conservation and global food security, and thus, understanding the dynamics of soil organic carbon (SOC) is crucial for both. We developed a spatiotemporal model to predict national-scale changes in SOC stocks to 1 meter depth, over the last 40 years. We utilized a combination of static and dynamic environmental covariates along with more than 50,000 observation points to calibrate a machine learning model. The models achieved satisfactory accuracy, with R2 values ranging from 0.48 to 0.88 in cross-validation and from 0.18 to 0.31 in external validation. Our findings revealed a significant reduction in SOC stocks in the North rainforest region (Amazon biome), with the largest increase in the Northeast drylands (Caatinga biome). Specifically, net SOC losses occurred in Amazon (-0.020 Pg yr-1), Atlantic Forest (-0.002 Pg yr-1), and Pampa (-0.0004 Pg yr-1). Net gains were found in the Cerrado (0.016 Pg yr-1), Caatinga (0.007 Pg yr-1), and Pantanal (0.001 Pg yr-1). Over the past 40 years, we estimated an absolute gain of 0.80 Pg C in Brazil. Land-use change from forests to anthropogenic uses was the primary driver of SOC stock loss, whereas conversion from pastures to croplands generally led to SOC gains. The efforts to combat climate change in Brazil require reducing deforestation and promoting sustainable agricultural intensification.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186625</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Assessing the soil capacity to produce food and biomass worldwide.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186601</link>
      <description>Título: Assessing the soil capacity to produce food and biomass worldwide.
Autoria: ROSIN, N. A.; MCBRATNEY, A. B.; POPPIEL, R. R.; ROSAS, J. T. F.; AMORIM, M. T. A.; FRANCOS, N.; DEMATTÊ, J. A. M.
Conteúdo: Soil security is a broad concept to address the role of soil in humankind’s well-being. We aimed to map the soil capacity to produce food and biomass worldwide with a soil security assessment framework (SSAF) based on the relationship between crop yield and soil attributes (in surface and subsoil layers) across the world’s ecoregions. The yield data for sugarcane, maize, rice, wheat, and soybean were transformed into a unitless utility value and used as target indicators, and clay, pH, soil organic carbon, and plant available water were used as potential indicators (PIs). The dataset was stratified by ecoregions. Utility functions were fitted between the target indicator and surface and subsoil data for each PI using generalized additive models (GAMs). GAMs were also fitted using all PIs. The final utility maps were predicted using digital soil mapping. The empirical bivariate utility functions reached an R2 of 0.01–0.36 and showed different behavior than those expected in the literature for some cases. The behavior of the pH was closest to that expected. The octavariate models using all PIs for the surface and subsoil had better accuracies with an R2 of 0.18–0.46. The predicted maps were related to the main crop yield for each region and enabled this information to be downscaled to 90 m and extrapolated for current non-agricultural uses. This study is the first approximation of the soil’s capacity to produce food and biomass on a global scale, and limitations due to several uncertainties should be considered.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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