The study looked at how different factors affect the accuracy of estimating heritability in traits. They used simulation programs to create different populations with varying levels of heritability and number of offspring per parent. They found that for continuous traits, using the animal model with Gibbs Sampling was the most accurate. For binary traits, the sire model with Gibbs Sampling was best at low heritability levels, while the animal model was better at higher heritability levels. Having 20 offspring per parent resulted in the lowest errors in estimating heritability.