A performer-based deep learning framework for crop yield prediction using single nucleotide polymorphisms and weather data and it is shown that visualizing the self-attention maps of a Multimodal Performer network indicates that the model makes meaningful connections between genotype andWeather data that can be used by the breeder to inform breeding decisions and shorten breeding cycle length.