Genomes to fields 2024 maize genotype by environment prediction competition
The genomes to fields (G2F) 2024 Maize Genotype by Environment (GxE) Prediction Competition challenged participants to develop and submit their best performing models to predict grain yield for the 2024 maize GxE project field trials, using G2F data collected from 2014 to 2023 and other publicly available data. The G2F Maize GxE Project is a collaborative effort, with all generated data made publicly available. The resource presented here includes the training and test datasets used for the G2F 2024 Maize GxE Prediction Competition. Specifically, data collected from 2014 to 2023 served as the training set to predict grain yield in the 2024 test set. The dataset comprises phenotypic, genotypic, soil, weather, and environmental covariate data, along with metadata describing environments (year-location combinations). It has been curated and lightly filtered for quality control and to ensure consistent naming across years. Competitors also had access to readme files that describe the structure and content of the datasets.
Authors
- Michael A. Gore (ORCID: https://orcid.org/0000-0001-6896-8024)
- Alencar Xavier (ORCID: https://orcid.org/0000-0001-5034-9954)
- David Ertl (ORCID: https://orcid.org/0000-0003-1374-2970)
- Marco Lopez‐Cruz (ORCID: https://orcid.org/0000-0002-2548-1766)
- Flint‐Garcia Sherry
- Edward S. Buckler (ORCID: https://orcid.org/0000-0002-3100-371X)
- Aida Z. Kebede (ORCID: https://orcid.org/0000-0002-7257-6397)
- Jason G. Wallace (ORCID: https://orcid.org/0000-0002-8937-6543)
- Dayane Cristina Lima (ORCID: https://orcid.org/0000-0002-5327-2160)
- McKay John K.
- Seth C. Murray (ORCID: https://orcid.org/0000-0002-2960-8226)
- Joseph Edward Knoll (ORCID: https://orcid.org/0000-0002-7477-4039)
- Jacob D. Washburn (ORCID: https://orcid.org/0000-0003-0185-7105)
- Jonathan W. Reneau
- Martin Bohn (ORCID: https://orcid.org/0000-0003-2364-6229)
- Erin E. Sparks
- Fernando Aguate
- Richard Minyo
- Jode Edwards
- Mitchell R. Tuinstra
- Timothy M. Beissinger
- Addie M. Thompson
- Gustavo de los Campos
- Osler A. Ortez
- James B. Holland
- Rajandeep S. Sekhon
- James C. Schnable
- Joseph L. Gage
- Maninder P. Singh
- Natalia de Leon
- Wenwei Xu
- Qiuyue Chen
- Maria Cinta Romay
- Shawn M. Kaeppler
- Candice N. Hirsch
Institutions
- University of Nebraska–Lincoln (US)
- University of Minnesota (US)
- University of Wisconsin System (US)
- Agricultural Research Service (US)
- Agriculture and Agri-Food Canada (CA)
- University of Wisconsin–Madison (US)
- North Carolina State University (US)
- University of Illinois Urbana-Champaign (US)
- University of Georgia (US)
- Texas A&M University System (US)
- Cornell University (US)
- Purdue University West Lafayette (US)
- Quantitative BioSciences (US)
- Corteva (United States) (US)
- The Ohio State University (US)
- University of Göttingen (DE)
- Clemson University (US)
- University of Delaware (US)
- Michigan State University (US)
- Ithaca College (US)
- Texas A&M University (US)
- Colorado State University (US)
Publication Details
- Journal
- BMC Research Notes
- Published
- 2026-02-09
- DOI
- https://doi.org/10.1186/s13104-026-07629-5
- Primary Topic
- Genetic Mapping and Diversity in Plants and Animals
- Type
- article
- Field-Weighted Citation Impact
- 0.00