Development of a stochastic pig compositional growth model1

From: Professional Animal Scientist | Date: June 1, 2003| Author: | Copyright information

Abstract

A stochastic pig compositional growth model was developed using mixed model nonlinear functions. Serial BW measurements were fitted to mixed model nonlinear equations with three parameters and two random effects. Empty body protein mass (EBPRO) data were predicted from serial real-time ultrasound and BW measurements. Predicted EBPRO data were fitted to a nonlinear function of predicted BW (PBW) with one random effect: EBPRO = C ([function of](PBW)) + ^sub i^ ([function of](PBW))^sup D^, where [function of](PBW) = (1 - exp (b^sub 0^ + b^sub 2^ PBW + b^sub 2^ (PBW)^sup 2^), C and D are ...

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