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dc.contributor.authorFREITAS, A. C. R. de
dc.contributor.authorALMEIDA, R. G. de
dc.contributor.authorMACEDO, M. C. M.
dc.contributor.authorGOMES, R. da C.
dc.contributor.authorBUNGENSTAB, D. J.
dc.contributor.authorLAURA, V. A.
dc.contributor.authorOLIVEIRA, C. C. de
dc.contributor.authorGOMES, E. G.
dc.contributor.authorPORFIRIO-DA-SILVA, V.
dc.contributor.authorALVES, B. J. R.
dc.contributor.authorMADARI, B. E.
dc.date.accessioned2026-07-16T13:55:07Z-
dc.date.available2026-07-16T13:55:07Z-
dc.date.created2026-07-16
dc.date.issued2026
dc.identifier.citationFrontiers in Sustainable Food Systems, v. 10, 2026.
dc.identifier.issn2571-581X
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1188357-
dc.descriptionPrediction 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.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectManure-DNDC model
dc.subjectModelo Manure-DNDC
dc.subjectIntegrated crop-livestock-forestry
dc.subjectSistema Integração Lavoura-Pecuária-Floresta
dc.titleCarbon footprint of beef cattle production in integrated systems of the Brazilian Cerrado.
dc.typeArtigo de periódico
dc.subject.thesagroCarbono
dc.subject.thesagroGado de Corte
dc.subject.thesagroProdução de Carne
dc.subject.nalthesaurusCarbon
dc.subject.nalthesaurusBeef cattle
dc.subject.nalthesaurusGreenhouse gases
dc.format.extent212 p.
riaa.ainfo.id1188357
riaa.ainfo.lastupdate2026-07-16
dc.identifier.doihttps://doi.org/10.3389/fsufs.2026.1805833
dc.contributor.institutionANTONIO CARLOS REIS DE FREITAS, CPACP; ROBERTO GIOLO DE ALMEIDA, CNPGC; MANUEL CLAUDIO MOTTA MACEDO, CNPGC; RODRIGO DA COSTA GOMES, CNPGC; DAVI JOSE BUNGENSTAB, CNPGC; VALDEMIR ANTONIO LAURA, CNPGC; CAROLINE CARVALHO DE OLIVEIRA, UNIVERSIDADE FEDERAL DE PERNAMBUCO; ELIANE GONCALVES GOMES, CNPS; VANDERLEY PORFIRIO DA SILVA, CNPF; BRUNO JOSE RODRIGUES ALVES, CNPAB; BEATA EMOKE MADARI, CNPAF.
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