Data/hora: 09/06/2024 10:26:01

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	14/08/2020	
Data da última atualização: 	30/12/2020	
Autoria: 	MARQUES, J. G. O.; SILVA, R. de O.; BARIONI, L. G.; HALL, J. A. J.; TEDESCHI, L. O.; MORAN, D.	
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.	
Título: 	An improved algorithm for solving profit-maximizing cattle diet problems.	
Ano de publicação: 	2020	
Fonte/Imprenta: 	Animal, v. 14, S2, p. S257-S266, Aug. 2020.	
DOI: 	https://doi.org/10.1017/S1751731120001433	
Idioma: 	Inglês	
Notas: 	Issue S2: Edição do 9th Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT), 2019, Ubatuba.	
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	
Palavras-Chave: 	Alimentação de gado; Feedlot; Formulação de ração; Nonlinear programming; Optimization; Otimização; Programação não linear; Ration formulation.	
Thesagro: 	Confinamento; Gado de Corte; Programação Linear.	
Thesaurus Nal: 	Cattle feeding; Linear programming.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (20486-1) - UPC - AP - DD -  -  -  - DIS