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    <title>DSpace Coleção: Artigo em periódico indexado (CPACP)</title>
    <link>https://www.alice.cnptia.embrapa.br/alice/handle/item/24139</link>
    <description>Artigo em periódico indexado (CPACP)</description>
    <pubDate>Sat, 18 Jul 2026 17:06:23 GMT</pubDate>
    <dc:date>2026-07-18T17:06:23Z</dc:date>
    <item>
      <title>Carbon footprint of beef cattle production in integrated systems of the Brazilian Cerrado.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1188357</link>
      <description>Título: Carbon footprint of beef cattle production in integrated systems of the Brazilian Cerrado.
Autoria: FREITAS, A. C. R. de; ALMEIDA, R. G. de; MACEDO, M. C. M.; GOMES, R. da C.; BUNGENSTAB, D. J.; LAURA, V. A.; OLIVEIRA, C. C. de; GOMES, E. G.; PORFIRIO-DA-SILVA, V.; ALVES, B. J. R.; MADARI, B. E.
Conteúdo: Prediction of soil organic carbon (SOC) stocks, tree carbon stocks, enteric emissions, and beef production is essential for evaluating low-carbon livestock systems. However, there is still limited information regarding the use of mechanistic models capable of simultaneously integrating these components under tropical integrated production systems. This study evaluated the performance of the Manure-DeNitrification-DeComposition (Manure-DNDC) model to simulate SOC stocks and estimate the emission intensity of beef production in integrated crop-livestock-forest (ICLF) systems of the Brazilian Cerrado. Methods: Experimental data collected from 2008 to 2016 at the Embrapa Beef Cattle experimental site in Campo Grande, Mato Grosso do Sul, Brazil, were used to evaluate native vegetation (NV), integrated crop-livestock (ICL), and integrated crop-livestock-forest systems (ICLF14 and ICLF22). The Manure-DNDC model was applied to simulate SOC dynamics, beef production, and enteric emissions, and model estimates were compared with measured field data. Results: The model showed good agreement between simulated and measured SOC stocks, beef production, and enteric emissions across the evaluated systems. Annual additional SOC stocks were estimated at -0.025 Mg CO2e ha-¹ year-¹ for NV, +1.06 Mg CO2e ha−¹ year-¹ for ICL, +0.83 Mg CO2e ha-¹ year-¹ for ICLF22, and +0.30 Mg CO2e ha-¹ year-¹ for ICLF14. Emission intensity was estimated at 7.7 kg CO2e kg-¹ live weight gain (LWG) for ICL, whereas negative net values were observed for ICLF22 (-31.5 kg CO22 kg-¹ LWG) and ICLF14 (-69.5 kg CO2e kg-¹ LWG).Discussion: The Manure-DNDC model satisfactorily represented greenhouse gas (GHG) emissions and carbon sequestration under Brazilian Cerrado conditions. The findings highlight the potential of ICLF systems to mitigate GHG emissions and reduce the carbon footprint of beef production.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1188357</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Integrating deficit irrigation and bacterial inoculation to mitigate water stress and enhance maize productivity in semiarid regions.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186742</link>
      <description>Título: Integrating deficit irrigation and bacterial inoculation to mitigate water stress and enhance maize productivity in semiarid regions.
Autoria: NOGUEIRA, D. B.; SILVA, J. L. P. da; GIROLDO, A. B.; SILVA, E. F. F. e; SILVA, G. F. da; SOUSA, G. G. de; ARRUDA, R. da S.; SOUSA, K. C. de; PUTTI, F. F.; SILVA, A. O. da
Conteúdo: Water scarcity is one of the main constraints on maize production in semiarid regions, making it essential to adopt management strategies that reconcile water savings, crop resilience, and economic viability. This study evaluated the effects of deficit irrigation strategies integrated with the use of bioinputs on physiological, productive, and economic parameters of maize grown under field conditions in the Brazilian semiarid region over two growing seasons (2023 and 2024). The experiment was conducted using a randomized complete block design with a split-plot arrangement. Irrigation strategies comprised full irrigation (FI; 100% of crop water requirements), continuous deficit irrigation (RD50%; 50% throughout the crop cycle), and stage-specific controlled deficit irrigation (50%) imposed during the vegetative (CDV50%), flowering/grain formation (CDF50%), and grain-filling (CDG50%) stages, while seed treatments involved inoculation with Bacillus aryabhattai, coinoculation with B. aryabhattai + Azospirillum brasilense, and control treatments. Physiological variables, yield components, water use efficiency, the crop sensitivity coefficient to water deficit (Ky), and economic indicators were assessed. Controlled deficits irrigation, particularly under CDV50%, maintained grain yield comparable to FI (6465.80 kg ha−1, in second growing season), whereas RD50% reduced yield in 26%. Inoculation treatments enhanced gas exchange, carboxylation efficiency, and water use efficiency, resulting in higher agricultural income under specific production systems. The CDV50% strategy combined with coinoculation showed the greatest potential as a sustainable approach for maize production in semiarid environments and reduced the water use by up to 18.9%.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1186742</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Modeling impacts of N sources on N2O emissions in long-term crop rotation system in Brazils Cerrado using DNDCv.CAN.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1184927</link>
      <description>Título: Modeling impacts of N sources on N2O emissions in long-term crop rotation system in Brazils Cerrado using DNDCv.CAN.
Autoria: SOARES, J. R.; FREITAS, A. C. R. de; ALVES, B. J. R.; SMITH, W.; GRANT, B.; DRURY, C. F.; JANTALIA, C. P.; CARVALHO, M. da C. S.; MADARI, B. E.
Conteúdo: Predicting N2O emissions can help identify crop production practices and environmental conditions for mitigation. The objectives were to calibrate and validate the DeNitrification-DeComposition (DNDCv.CAN) model to simulate N2O emission in crop rotation (CR) systems in Brazil’s Cerrado biome, using different N fertilizer sources. Field data were obtained from a CR experiment with maize and common beans cultivated under no-till for 10 years. Treatments were: Zero-N, calcium ammonium nitrate (CAN), urea (UR), and ammonium sulfate (AS), with 5 replicates. Measured data including N2O fluxes, NH3 volatilization, soil NH4+and NO3-, water-filled pore space (WFPS), and grain yields were used to calibrate and validate the DNDCv.CAN. The model acceptably captured the daily N2O emissions associated with different N sources, although episodic peaks were over or under-predicted. Correlation coefficient was 0.62 during calibration, with a mean absolute error of 17 g N2O-N ha-1 day-1, close to average measured (18 g ha-1 d-1), and simulated (17 g ha-1 day-1) emissions. Accumulated measured N2O-N emissions were 1.19, 4.38, 3.17, and 2.56 kg N2O-N ha-1 for Zero-N, CAN, UR, and AS, respectively, whereas the simulated were 1.13, 3.44, 2.24, and 3.32 kg N2O-N ha-1. The NH3, NH4+, NO3-, WFPS, and yields were also fairly simulated. Soil hydrologic parameters were adjusted in the model using a built in pedotransfer function to improve the simulations, which should be further investigated. The DNDCv.CAN effectively simulated cumulative N2O emissions from different N sources applied to CR under tropical conditions, making it valuable for evaluating potential emissions and mitigation strategies.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1184927</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Perfil sensorial de análogo de hambúrguer vegetal à base de coprodutos de babaçu e proteínas vegetais.</title>
      <link>https://www.alice.cnptia.embrapa.br/alice/handle/doc/1174672</link>
      <description>Título: Perfil sensorial de análogo de hambúrguer vegetal à base de coprodutos de babaçu e proteínas vegetais.
Autoria: SANTOS, V. S. DO A.; SOUSA, P. H. M. DE; NUNES, G. M. V. C.; BENEVIDES, S. D.
Conteúdo: A crescente preocupação com o impacto ambiental e a busca por alternativas alimentares sustentáveis têm impulsionado o desenvolvimento de produtos plant-based. Este estudo objetivou elaborar hambúrgueres vegetais utilizando resíduos de coco babaçu e outros ingredientes regionais, explorando seu perfil sensorial e aceitação. Quatro formulações foram desenvolvidas com diferentes proporções de fibra de coco babaçu e óleo de coco. Os hambúrgueres foram avaliados por análises sensoriais, incluindo os métodos Check-All-That-Apply (CATA) e Rate-All-That-Apply (RATA), e submetidos a testes de aceitação e intenção de compra. Os resultados demonstraram que a coloração e o sabor foram significativamente influenciados pelas proporções de fibra e óleo de coco. A formulação com maior teor de óleo (15F25G) foi associada a atributos como "maciez" e "suculência", enquanto a formulação com maior teor de fibra (35F5G) apresentou características mais densas e fibrosas. O "aroma de coco" foi unanimemente identificado e bem aceito em todas as formulações. O "sabor picante" destacou-se em formulações intermediárias, como 20F20G e 30F10G, indicando o impacto positivo do equilíbrio entre fibra e óleo de coco nos atributos sensoriais. A análise de intenção de compra revelou maior preferência pelas formulações 35F5G e 15F25G, sugerindo que tanto a textura firme quanto a maciez podem atrair diferentes perfis de consumidores. Conclui-se que o aproveitamento de resíduos de coco babaçu em hambúrgueres vegetais não apenas promove inovação e sustentabilidade, mas também atende às expectativas sensoriais e de mercado, demonstrando seu potencial para fortalecer a economia circular e valorizar recursos regionais.</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.alice.cnptia.embrapa.br/alice/handle/doc/1174672</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
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