A new method called residual maximum likelihood (REML) is used to analyze field experiments by considering the relationship between neighboring plots. The researchers found that using a general neighbor model can provide more accurate results compared to traditional methods. They also discovered that including treated border plots in the design can affect the outcomes. Additionally, the study showed that environmental factors can vary within an experiment, which can be predicted using trend analysis.