Linear, nonlinear and volume
measurements obtained from computed tomography (CT) images of live pigs are
good predictors of carcass characteristics there are different ways to analyse
the goodness of a prediction equation, including the decomposition of the predicted error and the biases and coefficient of determination.
The present paper
compares the goodness of fit of individual prediction equations within three
different geno types and the prediction obtained by a global equation for the
different geno types at the same time comparison is performed by means of the
error decomposition, the standard deviation of the bias and the coefficient of model determination The results showed a good mean square prediction error and
a high error due to disturbances (random effects) for most of the predictions