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Poultry Science, Vol 83, Issue 6, 847-852
Copyright © 2004 by Poultry Science Association

Articles

Estimation of growth parameters using a nonlinear mixed Gompertz model

Z Wang and MJ Zuidhof

Livestock Development Division, Alberta Agriculture, Food and Rural Development, 7000-113 St. Edmonton, Alberta, Canada, T6H 5T6.

In order to maximize the utility of simulation models for decision making, accurate estimation of growth parameters and associated variances is crucial. A mixed Gompertz growth model was used to account for between-bird variation and heterogeneous variance. The mixed model had several advantages over the fixed effects model. The mixed model partitioned BW variation into between- and within-bird variation, and the covariance structure assumed with the random effect accounted for part of the BW correlation across ages in the same individual. The amount of residual variance decreased by over 55% with the mixed model. The mixed model reduced estimation biases that resulted from selective sampling. For analysis of longitudinal growth data, the mixed effects growth model is recommended.


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