Data/hora: 12/06/2024 12:42:04

Provedor de dados: | 63
País: | Brazil
Título: | Empirical models to predict feed intake of growing-finishing pigs reared under high environmental temperatures
Autores: | Perondi,Dani; Kipper,Marcos; Andretta,Ines; Hauschild,Luciano; Lunedo,Raquel; Franceschina,Carolina Schell; Remus,Aline.
Data: | 2018-08-01
Ano: | 2018
Palavras-chave: | Consumption; Heat stress; Modelling; Precision feeding; Swine.
Resumo: | ABSTRACT Several empirical models were proposed to predict feed intake (FI) of growingfinishing pigs reared under high environmental temperatures. However, these models have not been evaluated under conditions different from those in which they were developed. Twelve empirical models were evaluated using a database built after systematic literature review (observed data: 28 studies in which the FI was evaluated in pigs under high environmental temperatures). Model accuracy was assessed using the mean squared of prediction error (MSPE). Analyses were performed considering two scenarios: (1) general population, where all observed data were used in the simulation; (2) reference population, where data were filtered in order to simulate only scenarios with environment (temperature range) and animals (body weight and sex) similar to that used in the model development. Six models estimated FI values similar (p &gt; 0.05) to those observed in the general population, while four models produced estimates similar to the observed values in the reference populations. Most models were more accurate when they were simulated using the reference population than when the simulation considered the general database. Moving the simulation from the general database to the reference population reduced up to 98 % of the MSPE, depending on the equation. Empirical models allow to accurately predict FI of growing-finishing pigs exposed to high environmental temperatures, especially in scenarios similar to the ones used for model development. Thus, population characteristics (body weight and sex) and environment (temperature range) must be considered in the model assessment.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162018000400296
Editor: | São Paulo - Escola Superior de Agricultura "Luiz de Queiroz"
Relação: | 10.1590/1678-992x-2016-0363
Formato: | text/html
Fonte: | Scientia Agricola  v.75 n.4 2018
Fonte: | info:eu-repo/semantics/openAccess