2018–2019 field seasons of the Maize Genomes to Fields (G2F) G x E project

Author:

Lima Dayane CristinaORCID,Aviles Alejandro Castro,Alpers Ryan Timothy,McFarland Bridget A.ORCID,Kaeppler ShawnORCID,Ertl DavidORCID,Romay Maria CintaORCID,Gage Joseph L.ORCID,Holland JamesORCID,Beissinger Timothy,Bohn Martin,Buckler Edward,Edwards JodeORCID,Flint-Garcia SherryORCID,Hirsch Candice N.ORCID,Hood ElizabethORCID,Hooker David C.ORCID,Knoll Joseph E.ORCID,Kolkman Judith M.ORCID,Liu SanzhenORCID,McKay JohnORCID,Minyo Richard,Moreta Danilo E.ORCID,Murray Seth C.ORCID,Nelson Rebecca,Schnable James C.ORCID,Sekhon Rajandeep S.ORCID,Singh Maninder P.ORCID,Thomison Peter,Thompson AddieORCID,Tuinstra MitchellORCID,Wallace JasonORCID,Washburn Jacob D.ORCID,Weldekidan Teclemariam,Wisser Randall J.ORCID,Xu Wenwei,de Leon NataliaORCID

Abstract

Abstract 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.

Funder

National Science Foundation

National Institute of Food and Agriculture

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Genetics

Reference7 articles.

1. Genomes to Fields. 2022. https://www.genomes2fields.org. Accessed 10 Oct 2022.

2. Bradbury PJ, Casstevens T, Jensen SE, Johnson LC, Miller ZR, Monier B, et al. The Practical Haplotype Graph, a platform for storing and using pangenomes for imputation. Bioinformatics. 2022;38(15):3698–702. https://doi.org/10.1093/bioinformatics/btac410.

3. Franco JAV, Gage JL, Bradbury PJ, Johnson LC, Miller ZR, Buckler ES, et al. A Maize Practical Haplotype Graph Leverages Diverse NAM Assemblies. bioRxiv. 2020. https://doi.org/10.1101/2020.08.31.268425.

4. Evaluation of genetic diversity across the inbreds used by G2F project (WGS skim sequencing). BioProject. 2022. https://identifiers.org/ncbi/bioproject:PRJNA530187.

5. Genomes to Fields resources. 2022. https://www.genomes2fields.org/resources/. Accessed 10 Oct 2022.

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