Bayesian approaches in evolutionary quantitative genetics

摘要: The study of evolutionary quantitative genetics has been advanced by the use methods developed in animal and plant breeding. These have proved to be very useful, but they some shortcomings when used wild populations questions. Problems arise from small size data sets typical studies, additional complexity questions asked biologists. Here, we advocate Bayesian overcome these related problems. naturally allow errors parameter estimates propagate through a model can also written as graphical model, giving them an inherent flexibility. As packages for fitting models are developed, expect application grow, particularly genomic information becomes more associated with environmental data.