Data/hora: 10/06/2024 12:18:09

Provedor de dados: 	96	
País: 	Brazil	
Título: 	Simulation of diets for dairy goats and growing doelings using nonlinear optimization procedures	
Autores: 	Glória,Leonardo Siqueira; Abreu,Matheus Lima Corrêa; Rocha,Norberto Silva; Oliveira,Tadeu Silva de; Gomes,Raphael dos Santos; Rohem Júnior,Nardele Moreno; Bendia,Laila Cecília Ramos; Fernandes,Alberto Magno.	
Data: 	2016-02-01	
Ano: 	2016	
Palavras-chave: 	Decision support system; Diet formulation; Diet optimization; Goat nutrition.	
Resumo: 	ABSTRACT The objective of this study was to simulate total dry matter intake and cost of diets optimized by nonlinear programming to meet the nutritional requirements of dairy does and growing doelings. The mathematical model was programmed in a Microsoft Excel(r) spreadsheet. Increasing values of body mass and average daily weight gain for growing doelings and increasing body mass values and milk yield for dairy does were used as inputs for optimizations. Three objective functions were considered: minimization of the dietary cost, dry matter intake maximization, and maximization of the efficiency of use of the ingested crude protein. To solve the proposed problems we used the Excel(r) Solver(r) algorithm. The Excel(r) Solver(r) was able to balance diets containing different objective functions and provided different spaces of feasible solutions. The best solutions are obtained by least-cost formulations; the other two objective functions, namely maximize dry matter intake and maximize crude protein use, do not produce favorable diets in terms of costs.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982016000200071	
Editor: 	Sociedade Brasileira de Zootecnia	
Relação: 	10.1590/S1806-92902016000200005	
Formato: 	text/html	
Fonte: 	Revista Brasileira de Zootecnia  v.45 n.2 2016	
Fonte: 	info:eu-repo/semantics/openAccess