Data/hora: 11/06/2024 01:28:39

Provedor de dados: 	65	
País: 	Brazil	
Título: 	Nonlinear modeling growth body weight of Mangalarga Marchador horses	
Autores: 	Souza,Felipe Amorim Caetano; Fernandes,Tales Jesus; Moura,Raquel Silva de; Meirelles,Sarah Laguna Conceição; Ribeiro,Rafaela Aparecida; Cunha,Fabiana Oliveira; Muniz,Joel Augusto.	
Data: 	2017-01-01	
Ano: 	2017	
Palavras-chave: 	Age; Body weight; Cross-sectional method; Statistical models.	
Resumo: 	ABSTRACT: The analysis of the growth and development of various species has been done using the growth curves of the specific animal based on non-linear models. The objective of the current study was to evaluate the fit of the Brody, Gompertz, Logistic and von Bertalanffy models to the cross-sectional data of the live weight of the MangalargaMarchador horses to identify the best model and make accurate predictions regarding the growth and maturity in the males and females of this breed. The study involved recording the weight of 214 horses, of which 94 were males and 120 were non-pregnant females, between 6 and 153 months of age. The parameters of the model were estimated by employing the method of least squares, using the iteratively regularized Gauss-Newton method and the R software package. Comparison of the models was done based on the following criteria: coefficient of determination (R²); Residual Standard Deviation (RSD); corrected Akaike Information Criterion (AICc). The estimated weight of the adult horses by the models ranged between 431kg and 439kg for males and between 416kg and 420kg for females. The growth curves were studied using the cross-sectional data collection method. For males the von Bertalanffymodel was found to be the most effective in expressing growth, while in females the Brody model was more suitable. The MangalargaMarchador females achieve adult body weight earlier than the males.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400657	
Editor: 	Universidade Federal de Santa Maria	
Relação: 	10.1590/0103-8478cr20160636	
Formato: 	text/html	
Fonte: 	Ciência Rural  v.47 n.4 2017	
Fonte: 	info:eu-repo/semantics/openAccess