4/1/2024 0 Comments Asreml unconstrainIndeed, the multiple-trait SAD model can be considered to be a specific kind of SEM in which the structural parameters are functions of time. This constraint on the correlation between error terms ensures the identifiability of the parameters in the multiple-trait SAD model, as has been demonstrated for structural equation models (SEM). The single-trait SAD model assumes that a random effect at time \(t_\). In the present study, we developed a multiple-trait extension of the structured antedependence model (SAD) to overcome this issue and validated its usefulness by modeling the association between litter size (LS) and average birth weight (ABW) over parities in pigs and rabbits. Multiple-trait random regression models are commonly used to analyze repeated traits but suffer from several major drawbacks. Some genetic studies need to take into account correlations between traits that are repeatedly measured over time.
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