"Several techniques to control for spatial heterogeneity in breeding trials were compared through the use of simulated data for a field site with 256 genotypes (i.e., treatments). Various experimental designs, error structures, and polynomial functions were modeled," scientists in the United States report.
"The error structures studied included first-order autoregressive with and without measurement error (or nugget) and independent errors. Also, several nearest neighbor methods (Papadakis [PAP] and moving average [MA]) were used. The results indicated that, of models with independent errors, row-column designs gave the best correlation between the predicted and true treatment …
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