Random and fixed effects, the mixed model.

This chapter describes the general strategy for solving mixed models based on the mixed model equations, models used to derive genetic evaluations for quantitative traits, the advantages and disadvantages of each model, maximum likelihood parameter estimation from mixed models and methods for variance component estimation in mixed models, based on constant fitting and maximum likelihood and restricted maximum likelihood (REML).