02628nam a2200409 a 450000100080000000500110000800800410001902200140006010000280007424501390010226001400024130000160038149000460039750000530044352013050049665000090180165000160181065000290182665000250185565000110188065000180189165000140190965300220192365300140194570000260195970000190198570000230200470000170202770000190204470000230206370000220208670000230210870000220213170000230215370000220217670000200219820578022020-01-21       2016    bl uuuu     u01u1 u    #d  a1983-974X1 aMOREIRA, J. M. M. A. P.  aAn optimization model to deal with livestock production and emissions while maximizing the overall net revenue.h[electronic resource]  aIn: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapac2016  ap. 153-157.  a(Embrapa Gado de Corte. Documentos, 216).  aCoordenador: Roberto Giolo de Almeida. II SIGEE.  aThe 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.  aBeef  aBeef cattle  aGreenhouse gas emissions  aLivestock production  aModels  aGado de corte  aPecuária  aEmissão de gases  aModelagem1 aFASIABEN, M. do C. R.1 aBARIONI, L. G.1 aOLIVEIRA, A. F. de1 aCOSTA, F. P.1 aDIAS, F. R. T.1 aABREU, U. G. P. de1 aSANTOS, J. C. dos1 aSENA, A. L. dos S.1 aLAMPERT, V. do N.1 aOLIVEIRA, P. P. A.1 aPEDROSO, A. de F.1 aSILVA, R. de O.