Trait genetic architecture and population structure determine model selection for genomic prediction in natural Arabidopsis thaliana populations.

Genomic prediction applies to any agro- or ecologically relevant traits, with distinct ontologies and genetic architectures. Selecting the most appropriate model for the distribution of genetic effects and their associated allele frequencies in the training population is crucial. Linear regression models are often preferred for genomic prediction.