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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
14/08/2020 |
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Data da última atualização: |
30/12/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MARQUES, J. G. O.; SILVA, R. de O.; BARIONI, L. G.; HALL, J. A. J.; TEDESCHI, L. O.; MORAN, D. |
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Afiliação: |
The University of Edinburgh; The University of Edinburgh; LUIS GUSTAVO BARIONI, CNPTIA; The University of Edinburgh; Texas A&M University; The University of Edinburgh. |
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Título: |
An improved algorithm for solving profit-maximizing cattle diet problems. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Animal, v. 14, S2, p. S257-S266, Aug. 2020. |
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DOI: |
https://doi.org/10.1017/S1751731120001433 |
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Idioma: |
Inglês |
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Notas: |
Issue S2: Edição do 9th Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT), 2019, Ubatuba. |
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Conteúdo: |
Feeding cattle with on-pasture supplementation or feedlot diets can increase animal efficiency and system profitability while minimizing environmental impacts. However, cattle system profit margins are relatively small and nutrient supply accounts for most of the costs. This paper introduces a nonlinear profit-maximizing diet formulation problem for beef cattle based on wellestablished predictive equations. Nonlinearity in predictive equations for nutrient requirements poses methodological challenges in the application of optimization techniques. In contrast to other widely used diet formulation methods, we develop a mathematical model that guarantees an exact solution for maximum profit diet formulations. Our method can efficiently solve an often-impractical nonlinear problem by solving a finite number of linear problems, that is, linear time complexity is achieved through parametric linear programming. Results show the impacts of choosing different objective functions (minimizing cost, maximizing profit and maximizing profit per daily weight gain) and how this may lead to different optimal solutions. In targeting improved ration formulation on feedlot systems, this paper demonstrates how profitability and nutritional constraints can be met as an important part of a sustainable intensification production strategy |
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Palavras-Chave: |
Alimentação de gado; Feedlot; Formulação de ração; Nonlinear programming; Optimization; Otimização; Programação não linear; Ration formulation. |
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Thesagro: |
Confinamento; Gado de Corte; Programação Linear. |
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Thesaurus NAL: |
Cattle feeding; Linear programming. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02494naa a2200361 a 4500
001 2124358
005 2020-12-30
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1017/S1751731120001433$2DOI
100 1 $aMARQUES, J. G. O.
245 $aAn improved algorithm for solving profit-maximizing cattle diet problems.$h[electronic resource]
260 $c2020
500 $aIssue S2: Edição do 9th Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT), 2019, Ubatuba.
520 $aFeeding cattle with on-pasture supplementation or feedlot diets can increase animal efficiency and system profitability while minimizing environmental impacts. However, cattle system profit margins are relatively small and nutrient supply accounts for most of the costs. This paper introduces a nonlinear profit-maximizing diet formulation problem for beef cattle based on wellestablished predictive equations. Nonlinearity in predictive equations for nutrient requirements poses methodological challenges in the application of optimization techniques. In contrast to other widely used diet formulation methods, we develop a mathematical model that guarantees an exact solution for maximum profit diet formulations. Our method can efficiently solve an often-impractical nonlinear problem by solving a finite number of linear problems, that is, linear time complexity is achieved through parametric linear programming. Results show the impacts of choosing different objective functions (minimizing cost, maximizing profit and maximizing profit per daily weight gain) and how this may lead to different optimal solutions. In targeting improved ration formulation on feedlot systems, this paper demonstrates how profitability and nutritional constraints can be met as an important part of a sustainable intensification production strategy
650 $aCattle feeding
650 $aLinear programming
650 $aConfinamento
650 $aGado de Corte
650 $aProgramação Linear
653 $aAlimentação de gado
653 $aFeedlot
653 $aFormulação de ração
653 $aNonlinear programming
653 $aOptimization
653 $aOtimização
653 $aProgramação não linear
653 $aRation formulation
700 1 $aSILVA, R. de O.
700 1 $aBARIONI, L. G.
700 1 $aHALL, J. A. J.
700 1 $aTEDESCHI, L. O.
700 1 $aMORAN, D.
773 $tAnimal$gv. 14, S2, p. S257-S266, Aug. 2020.
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