Genomes to fields 2024 maize genotype by environment prediction competition

Abstract Objectives 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 an...

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Autors principals:	Qiuyue Chen, Jacob D. Washburn, Dayane Cristina Lima, Maria Cinta Romay, Joseph L. Gage, James B. Holland, Alencar Xavier, Seth C. Murray, David Ertl, Marco Lopez-Cruz, Gustavo de los Campos, Fernando M. Aguate, Timothy M. Beissinger, Martin O. Bohn, Edward S. Buckler, Jode Edwards, Sherry A. Flint-Garcia, Michael A. Gore, Candice N. Hirsch, Shawn M. Kaeppler, Aida Z. Kebede, Joseph E. Knoll, John K. McKay, Richard Minyo, Osler A. Ortez, Jonathan W. Reneau, James C. Schnable, Rajandeep S. Sekhon, Maninder P. Singh, Erin E. Sparks, Addie M. Thompson, Mitchell R. Tuinstra, Jason Wallace, Wenwei Xu, Natalia de Leon
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2026-02-01
Col·lecció:	BMC Research Notes
Matèries:	Maize (Zea mays ssp. mays) Grain yield GxE Prediction
Accés en línia:	https://doi.org/10.1186/s13104-026-07629-5
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