Crop models are usually developed using a test set of data and simulations representing a
range of environment, soil, management and genotype combinations. Previous studies
demonstrated that errors in the configuration of test simulations and aggregation of observed
data sets are common and can cause major problems for model development. However, the
extent and effect of such errors using Agricultural Production system SIMulator Next
Generation (APSIM) crop models are not usually considered as a source of model …