The dataset contains results from phenotypic evaluations of multi location field trials and genotypic evaluation using practical haplotype graphs of multiple corn populations. Also included is field level weather and soil data for the multiple locations where field testing were conducted. Data was collected by collaborators in the Genomes to Fields (G2F) initiative. G2F is an umbrella initiative to support translation of maize (Zea mays) genomic information for the benefit of growers, consumers and society. This public-private partnership is building on publicly funded corn genome sequencing projects to develop approaches to understand the functions of corn genes and specific alleles across environments. Ultimately this information will be used to enable accurate prediction of the phenotypes of corn plants in diverse environments. There are many dimensions to the over-arching goal of understanding genotype-by-environment (GxE) interactions, including which genes impact which traits and trait components, how genes interact among themselves (GxG), the relevance of specific genes under different growing conditions, and how these genes influence plant growth during various stages of development.