01493nam a2200361 a 450000100080000000500110000800800410001910000210006024502000008126002430028130000160052452001510054065000160069165000290070765000130073665000240074965000230077365000180079665000230081465300240083765300350086170000170089670000160091370000240092970000230095370000170097670000250099370000190101870000230103770000310106070000180109170000220110920619272017-03-06       2016    bl uuuu     u01u1 u    #d1 aALBERTINI, T. Z.  aBeefTader (part I)boptimal economical endpoint identification using mixed modeling approach decreases greenhouse gases emission and other pollutants for livestock farmers.h[electronic resource]  aIn: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. 502 p. (Embrapa Gado de Corte. Documentos, 216). Coordenador Roberto Giolo de Almeida. II SIGEEc2016  ap. 182-186.  aThe current study is the first from three sequential abstracts based on BeefTrader DSS to maximize profitability of farmers and the meat industry.  aBeef cattle  aDecision support systems  aFeedlots  aMathematical models  aStatistical models  aGado de corte  aModelo Matemático  aModelo estatístico  aSistema de suporte à decisão1 aBIASE, A. G.1 aBARBOSA, M.1 aFERNANDES, P. A. P.1 aCASTANHEIRA, M. A.1 aLANNA, D. P.1 aNEPOMUCENO, N. H. C.1 aBARIONI, L. G.1 aMEDEIROS, S. R. de1 aTORRES JUNIOR, R. A. de A.1 aOLTJEN, J. W.1 aCOSTA JÚNIOR, C.