Data/hora: 13/06/2024 06:31:34

Provedor de dados: 	Revista Brasileira de Zootecnia	
País: 	Brazil	
Título: 	Prediction equations for energy values of animal meals obtained using meta-analysis	
Autores: 	Oliveira,Camilla Roana Costa de; Rabello,Carlos Bôa-Viagem; Souza,Janete Gouveia de; Nascimento,Guilherme Rodrigues do; Lopes,Elainy Cristina; Silva,Almir Ferreira da; Silva,Jaqueline de Cássia Ramos da; Macambira,Gabriel Miranda.	
Data: 	2018-01-01	
Ano: 	2018	
Palavras-chave: 	AMEn; Broiler; Meat and bone meal; Metabolism; Prediction.	
Resumo: 	ABSTRACT The objective of this study was to determine prediction equations to estimate the nitrogen-corrected apparent metabolizable energy (AMEn) values of animal meals used in broiler diets through meta-analysis. A bibliographic review was undertaken with studies conducted in Brazil from 2000 to 2016 to catalogue information on AMEn values and the following chemical elements in the composition of the feedstuffs: crude protein (CP), ether extract (EE), gross energy (GE), mineral matter (MM), calcium (Ca), and phosphorus (P). Groups were also catalogued and formed according to sex and age of birds. Chemical correlations were analyzed, and a multiple linear regression model with the stepwise procedure was used to examine the association between the variables, which were included in the equation as a function of their importance. High and significant correlation coefficients between the independent (GE, MM, CP, EE, Ca, and P) and dependent variable (AMEn) contribute to the understanding of variations in the energy values of these feedstuffs. According to the coefficients of determination, the best equations to estimate AMEn of poultry offal meal and meat and bone meal are    AMEn = 6139 − 45.5 CP + 0.356 GE − 123.5 MM  (    R  2 = 0.8302 ) and    AMEn = 2267 + 19.9 CP + 67.9 EE − 44.4 MM  (    R  2 = 0.9021 ) , respectively.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982018000100537	
Editor: 	Sociedade Brasileira de Zootecnia	
Relação: 	10.1590/rbz4720180098	
Formato: 	text/html	
Fonte: 	Revista Brasileira de Zootecnia  v.47 2018	
Fonte: 	info:eu-repo/semantics/openAccess