Repeatability Explorer

The Repeatability Explorer is a tool that helps breeders optimize multi-environment trial (MET) designs. Based on variance components provided by the user, it visualizes how entry-mean repeatability (H2) is affected by the trial network size, including:

• Number of test locations
• Number of replicates within locations
• Number of years

Plots of entry-mean repeatability, selection accuracy, and Fisher’s LSD across increasing numbers of locations and years can be used to explore the relationship between the allocation of testing resources and the informative value of the MET design. Additionally, results are translated into expected repeatability and selection accuracy in the target population of environments (TPE), based on user-specified genetic correlations between the testing environment and the TPE.