Autoria: MOREIRA, J. M. M. A. P.; FASIABEN, M. do C. R.; BARIONI, L. G.; OLIVEIRA, A. F. de; COSTA, F. P.; DIAS, F. R. T.; ABREU, U. G. P. de; SANTOS, J. C. dos; SENA, A. L. dos S.; LAMPERT, V. do N.; OLIVEIRA, P. P. A.; PEDROSO, A. de F.; SILVA, R. de O.

Resumo: The Brazil is second world´s largest beef producer (FAO, 2016), with a great variety of climate and natural resources on its Biomas. The grassland area allocated to livestock systems is about 170 Mha, with a great variety of production systems adopted on each one of them (IBGE, 2016). Beef production systems have different input of resources and result on different outputs, as beef, money and greenhouse gases (GEE) emissions. Finding promising solutions dealing with the complexity of the drivers of the trade-offs between profit, production and GEE´s is not trivial. Some authors have evaluated such trade-offs through detailed mathematical models of the technological dynamics in a production system (OLIVEIRA SILVA et al, 2015; 2016). This work uses an alternative approach where the transition of production systems is modeled. The main objective was to develop a linear programming optimization model with that could represent the dynamics of cattle production system?s adoption, maximizing the total net revenue or family revenue profit over the period on different future scenarios. Those considered a beef demand to be met, the amount of capital available, the maximum GEE emission, while complying with constraints considering the producer´s low inclination to adopt new technologies.

Ano de publicação: 2016

Tipo de publicação: Artigo em anais e proceedings

Unidade: Embrapa Florestas

Palavras-chave: Beef, Beef cattle, Efeito estufa, Emissão de gases, Gado de corte, Greenhouse gas emissions, Greenhouse gases, Livestock, Livestock production, Modelagem, Models, Pecuária, Producao animal