BeefTader (part I): optimal economical endpoint identification using mixed modeling approach decreases greenhouse gases emission and other pollutants for livestock farmers.

The current study is the first from three sequential abstracts based on BeefTrader DSS to maximize profitability of farmers and the meat industry.

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Bibliographic Details
Main Authors: ALBERTINI, T. Z., BIASE, A. G., BARBOSA, M., FERNANDES, P. A. P., CASTANHEIRA, M. A., LANNA, D. P., NEPOMUCENO, N. H. C., BARIONI, L. G., MEDEIROS, S. R. de, TORRES JUNIOR, R. A. de A., OLTJEN, J. W., COSTA JÚNIOR, C.
Other Authors: TIAGO ZANETT ALBERTINI, @Tech; ADRIELE GIARETTA BIASE, @Tech; MARCIO BARBOSA, @Tech; PEDRO AFFONSO PIZELLI FERNANDES, @Tech; MATHEUS ANGELI CASTANHEIRA, @Tech; DANTE PAZZANESE LANNA, Esalq/USP; NELSON HENRIQUE CORRÊA NEPOMUCENO, Integra Software; LUIS GUSTAVO BARIONI, CNPTIA; SERGIO RAPOSO DE MEDEIROS, CNPGC; ROBERTO AUGUSTO DE A TORRES JUNIOR, CNPGC; JAMES W. OLTJEN, University of California; CINIRO COSTA JÚNIOR, Imaflora.
Format: Anais e Proceedings de eventos biblioteca
Language:English
eng
Published: 2016-12-01
Subjects:Sistema de suporte à decisão, Modelo estatístico., Gado de corte, Modelo Matemático., Decision support systems, Beef cattle, Mathematical models, Statistical models, Feedlots,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1057577
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