Genomes to Fields 2022 Maize genotype by Environment Prediction Competition

OBJECTIVES: The Genomes to Fields (G2F) 2022 Maize Genotype by Environment (GxE) Prediction Competition aimed to develop models for predicting grain yield for the 2022 Maize GxE project field trials, leveraging the datasets previously generated by this project and other publicly available data. DATA...

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Detalles Bibliográficos
Autores principales: Lima, Dayane Cristina, Washburn, Jacob D., Varela, José Ignacio, Chen, Qiuyue, Gage, Joseph L., Romay, Maria Cinta, Holland, James, Ertl, David, Lopez-Cruz, Marco, Aguate, Fernando M., de los Campos, Gustavo, Kaeppler, Shawn, Beissinger, Timothy, Bohn, Martin, Buckler, Edward, Edwards, Jode, Flint-Garcia, Sherry, Gore, Michael A., Hirsch, Candice N., Knoll, Joseph E., McKay, John, Minyo, Richard, Murray, Seth C., Ortez, Osler A., Schnable, James C., Sekhon, Rajandeep S., Singh, Maninder P., Sparks, Erin E., Thompson, Addie, Tuinstra, Mitchell, Wallace, Jason, Weldekidan, Teclemariam, Xu, Wenwei, de Leon, Natalia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Data Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353085/
https://www.ncbi.nlm.nih.gov/pubmed/37461058
http://dx.doi.org/10.1186/s13104-023-06421-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353085/
https://www.ncbi.nlm.nih.gov/pubmed/37461058
http://dx.doi.org/10.1186/s13104-023-06421-z

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