Genomes to Fields 2022 Maize genotype by Environment Prediction Competition

Dayane Cristina Lima; Jacob D. Washburn; José Ignacio Varela; Qiuyue Chen; Joseph L. Gage; Maria Cinta Romay; James Holland; David Ertl; Marco Lopez-Cruz; Fernando M. Aguate; Gustavo de los Campos; Shawn Kaeppler; Timothy Beissinger; Martin Bohn; Edward Buckler; Jode Edwards; Sherry Flint-Garcia; Michael A. Gore; Candice N. Hirsch; Joseph E. Knoll; John McKay; Richard Minyo; Seth C. Murray; Osler A. Ortez; James C. Schnable; Rajandeep S. Sekhon; Maninder P. Singh; Erin E. Sparks; Addie Thompson; Mitchell Tuinstra; Jason Wallace; Teclemariam Weldekidan; Wenwei Xu; Natalia de Leon

doi:10.1186/s13104-023-06421-z

Genomes to Fields 2022 Maize genotype by Environment Prediction Competition

Dayane Cristina Lima, Jacob D. Washburn, José Ignacio Varela, Qiuyue Chen, Joseph L. Gage, Maria Cinta Romay, James Holland, David Ertl, Marco Lopez-Cruz, Fernando M. Aguate, Gustavo de los Campos, Shawn Kaeppler, Timothy Beissinger, Martin Bohn, Edward Buckler, Jode Edwards, Sherry Flint-Garcia, Michael A. Gore, Candice N. Hirsch, Joseph E. KnollJohn McKay, Richard Minyo, Seth C. Murray, Osler A. Ortez, James C. Schnable, Rajandeep S. Sekhon, Maninder P. Singh, Erin E. Sparks, Addie Thompson, Mitchell Tuinstra, Jason Wallace, Teclemariam Weldekidan, Wenwei Xu, Natalia de Leon

Agronomy and Plant Genetics

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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 description: This resource used data from the Maize GxE project within the G2F Initiative [1]. The dataset included phenotypic and genotypic data of the hybrids evaluated in 45 locations from 2014 to 2022. Also, soil, weather, environmental covariates data and metadata information for all environments (combination of year and location). Competitors also had access to ReadMe files which described all the files provided. The Maize GxE is a collaborative project and all the data generated becomes publicly available [2]. The dataset used in the 2022 Prediction Competition was curated and lightly filtered for quality and to ensure naming uniformity across years.

Original language	English (US)
Article number	148
Journal	BMC Research Notes
Volume	16
Issue number	1
DOIs	https://doi.org/10.1186/s13104-023-06421-z
State	Published - Dec 2023

Bibliographical note

Publisher Copyright:
© 2023, The Author(s).

Keywords

Grain yield
Maize
Root mean squared error

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Lima, D. C., Washburn, J. D., Varela, J. I., Chen, Q., Gage, J. L., Romay, M. C., Holland, J., Ertl, D., Lopez-Cruz, M., Aguate, F. M., de los Campos, G., Kaeppler, S., Beissinger, T., Bohn, M., Buckler, E., Edwards, J., Flint-Garcia, S., Gore, M. A., Hirsch, C. N., ... de Leon, N. (2023). Genomes to Fields 2022 Maize genotype by Environment Prediction Competition. BMC Research Notes, 16(1), Article 148. https://doi.org/10.1186/s13104-023-06421-z

Lima, DC, Washburn, JD, Varela, JI, Chen, Q, Gage, JL, Romay, MC, Holland, J, Ertl, D, Lopez-Cruz, M, Aguate, FM, de los Campos, G, Kaeppler, S, Beissinger, T, Bohn, M, Buckler, E, Edwards, J, Flint-Garcia, S, Gore, MA, Hirsch, CN, Knoll, JE, McKay, J, Minyo, R, Murray, SC, Ortez, OA, Schnable, JC, Sekhon, RS, Singh, MP, Sparks, EE, Thompson, A, Tuinstra, M, Wallace, J, Weldekidan, T, Xu, W & de Leon, N 2023, 'Genomes to Fields 2022 Maize genotype by Environment Prediction Competition', BMC Research Notes, vol. 16, no. 1, 148. https://doi.org/10.1186/s13104-023-06421-z

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AU - Gage, Joseph L.

AU - Romay, Maria Cinta

AU - Holland, James

AU - Ertl, David

AU - Lopez-Cruz, Marco

AU - Aguate, Fernando M.

AU - de los Campos, Gustavo

AU - Kaeppler, Shawn

AU - Beissinger, Timothy

AU - Bohn, Martin

AU - Buckler, Edward

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AU - Flint-Garcia, Sherry

AU - Gore, Michael A.

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AU - Knoll, Joseph E.

AU - McKay, John

AU - Minyo, Richard

AU - Murray, Seth C.

AU - Ortez, Osler A.

AU - Schnable, James C.

AU - Sekhon, Rajandeep S.

AU - Singh, Maninder P.

AU - Sparks, Erin E.

AU - Thompson, Addie

AU - Tuinstra, Mitchell

AU - Wallace, Jason

AU - Weldekidan, Teclemariam

AU - Xu, Wenwei

AU - de Leon, Natalia

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Genomes to Fields 2022 Maize genotype by Environment Prediction Competition

Abstract

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Keywords

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