A two-step approach combining the Gompertz growth model with genomic selection for longitudinal data.

ABSTRACT:

Background

We used the Gompertz growth curve to model a simulated longitudinal dataset provided by the QTLMAS2009 workshop and applied genomic evaluation to the derived model parameters and to a model-predicted trait value.

Results

Prediction of phenotypic information from the Gompertz curve allowed us to obtain genomic breeding value estimates for a time point with no phenotypic records. Despite that the true model used to simulate the data was the logistic growth model, the Gompertz model provided a good fit of the data. Genomic breeding values calculated from predicted phenotypes were highly correlated with the breeding values obtained by directly using the respective observed phenotypes. The accuracies between the true and estimated breeding value at time 600 were above

SUBMITTER: Pong-Wong R 

PROVIDER: S-EPMC2857846 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature