Agronomy and Horticulture Department



Dayane Dayane Lima, University of Wisconsin-Madison
Alejandro Castro Aviles, BASF Vegetable Seeds
Ryan Timothy Alpers, University of Wisconsin-Madison
Bridget A. McFarland, USDAAPHIS- IS
Shawn Kaeppler, University of Wisconsin-Madison
David Ertl, Iowa Corn Promotion Board
Maria Cinta Romay, Cornell University
Joseph L. Gage, North Carolina State University
James Holland, USDA-ARS
Timothy Beissinger, University of Göttingen Center for Integrated Breeding Research
Martin Bohn, University of Illinois at Urbana-Champaign
Edward Buckler, USDA-ARS
Jode Edwards, USDA-ARS
Sherry Flint‑Garcia, USDA-ARS
Candice N. Hirsch, University of Minnesota
Elizabeth Hood, Arkansas State University
David C. Hooker, University of Guelph
Joseph E. Knoll, USDA-ARS
Judith M. Kolkman, Cornell University
Sanzhen Liu, Kansas State University
John McKay, Colorado State University
Richard Minyo, Ohio State University College of Food
Danilo E. Moreta, Cornell University
Seth C. Murray, Texas A&M University
Rebecca Nelson, Cornell University
James C. Schnable, University of Nebraska-LincolnFollow
Rajandeep S. Sekhon, Clemson University
Maninder P. Singh, Michigan State University
Peter Thomison, Ohio State University
Addie Thompson, Michigan State University
Mitchell Tuinstra, Purdue University
Jason Wallace, University of Georgia
Jacob D. Washburn, USDA-ARS
Teclemariam Weldekidan, University of Delaware
Randall J. Wisser, University of Delaware, Laboratoire d’Ecophysiologie Des Plantes Sous Stress Environmentaux
Wenwei Xu31, Texas A&M University
Natalia de Leon, University of Wisconsin-Madison

Date of this Version



Lima et al. BMC Genomic Data (2023) 24:29


Open access.


Objectives This report provides information about the public release of the 2018–2019 Maize G X E project of the Genomes to Fields (G2F) Initiative datasets. G2F is an umbrella initiative that evaluates maize hybrids and inbred lines across multiple environments and makes available phenotypic, genotypic, environmental, and metadata information. The initiative understands the necessity to characterize and deploy public sources of genetic diversity to face the challenges for more sustainable agriculture in the context of variable environmental conditions.

Data description Datasets include phenotypic, climatic, and soil measurements, metadata information, and inbred genotypic information for each combination of location and year. Collaborators in the G2F initiative collected data for each location and year; members of the group responsible for coordination and data processing combined all the collected information and removed obvious erroneous data. The collaborators received the data before the DOI release to verify and declare that the data generated in their own locations was accurate. ReadMe and description files are available for each dataset. Previous years of evaluation are already publicly available, with common hybrids present to connect across all locations and years evaluated since this project’s inception.