The article discusses different methods used to estimate variance components in animal breeding. It explains that while some methods like REML and Bayesian are reliable, ML method can sometimes give incorrect results due to bimodal likelihood functions. The researchers found that for models with two variance components, REML and Bayesian methods always give a single correct estimate, while ML method can sometimes give a wrong estimate.