Metabolisable energy prediction in energy feedstuffs and evaluation of the stepwise validation procedure using bootstrapping

Metabolisable energy prediction in energy feedstuffs and evaluation of the stepwise validation procedure using bootstrapping

ABSTRACT The use of predicted values of apparent metabolisable energy (AME), obtained from regression equations, can be useful for both research institutions and nutrition industries. However, there is a need to validate independent samples to ensure that the predicted equation for AME is reliable....

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Bibliographic Details
Main Authors:	Newton Tavares Escocard de Oliveira, Paulo Cesar Pozza, Leandro Dalcin Castilha, Tiago Junior Pasquetti, Carolina Natali Langer
Format:	Article
Language:	English
Published:	Universidade Federal do Ceará
Series:	Revista Ciência Agronômica
Subjects:	Chemical composition Corn Meta-analysis Pigs Regression models
Online Access:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000100131&lng=en&tlng=en

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