Della Coletta, RafaelLiese, Sharon EFernandes, Samuel BMikel, Mark ABohn, Martin OLipka, Alexander EHirsch, Candice N2023-01-232023-01-232023-01-23https://hdl.handle.net/11299/250568Files include yield data (raw and BLUEs) of maize hybrids across different growth environments, genotypic data of maize inbred lines (parental and RILs) and hybrids, and environmental covariates data. More detailed information for each file can be found in the README file.This dataset contains the input files to build marker effect networks and identify markers associated with environmental adaptability. These networks are built by adapting commonly used software for building gene co-expression networks with marker effects across growth environments as the input data into the networks. Here, we provide grain yield data from 400 maize hybrids grown across nine environments in the U.S. Midwest, a set of ~10,000 non-redundant markers, and environmental data containing 17 weather parameters in 3-day intervals collected from planting date to the end of the season. For instructions on how to perform this analysis and analysis script, please see https://github.com/HirschLabUMN/meffs_networks. For more details on marker effect networks, please see preprint on https://www.biorxiv.org/content/10.1101/2023.01.19.524532v1.CC0 1.0 UniversalDatasethttps://doi.org/10.13020/b1e0-q828