BMC Genomic Data (May 2023)
2018–2019 field seasons of the Maize Genomes to Fields (G2F) G x E project
- Dayane Cristina Lima,
- Alejandro Castro Aviles,
- Ryan Timothy Alpers,
- Bridget A. McFarland,
- Shawn Kaeppler,
- David Ertl,
- Maria Cinta Romay,
- Joseph L. Gage,
- James Holland,
- Timothy Beissinger,
- Martin Bohn,
- Edward Buckler,
- Jode Edwards,
- Sherry Flint-Garcia,
- Candice N. Hirsch,
- Elizabeth Hood,
- David C. Hooker,
- Joseph E. Knoll,
- Judith M. Kolkman,
- Sanzhen Liu,
- John McKay,
- Richard Minyo,
- Danilo E. Moreta,
- Seth C. Murray,
- Rebecca Nelson,
- James C. Schnable,
- Rajandeep S. Sekhon,
- Maninder P. Singh,
- Peter Thomison,
- Addie Thompson,
- Mitchell Tuinstra,
- Jason Wallace,
- Jacob D. Washburn,
- Teclemariam Weldekidan,
- Randall J. Wisser,
- Wenwei Xu,
- Natalia de Leon
Affiliations
- Dayane Cristina Lima
- Department of Agronomy, University of WI – Madison
- Alejandro Castro Aviles
- BASF Vegetable Seeds
- Ryan Timothy Alpers
- Department of Agronomy, University of WI – Madison
- Bridget A. McFarland
- Panama-USA Commission for the Eradication and Prevention of Screwworm (COPEG), USDA-APHIS-IS
- Shawn Kaeppler
- Department of Agronomy, University of WI – Madison
- David Ertl
- Iowa Corn Promotion Board
- Maria Cinta Romay
- Institute for Genomic Diversity, Cornell University
- Joseph L. Gage
- Department of Crop and Soil Sciences, North Carolina State University
- James Holland
- USDA-ARS Plant Science Research Unit
- Timothy Beissinger
- Department of Crop Science, University of Göttingen Center for Integrated Breeding Research
- Martin Bohn
- University of Illinois at Urbana-Champaign
- Edward Buckler
- USDA-ARS and Cornell University
- Jode Edwards
- USDA ARS CICGRU
- Sherry Flint-Garcia
- USDA-ARS
- Candice N. Hirsch
- Department of Agronomy and Plant Genetics, University of Minnesota
- Elizabeth Hood
- College of Agriculture, Arkansas Biosciences Institute, Arkansas State University
- David C. Hooker
- Department of Plant Agriculture, University of Guelph, Ridgetown Campus
- Joseph E. Knoll
- USDA-ARS Crop Genetics and Breeding Research Unit
- Judith M. Kolkman
- School of Integrative Plant Science, Cornell University
- Sanzhen Liu
- Department of Plant Pathology, Kansas State University
- John McKay
- Department of Agricultural Biology, Colorado State University
- Richard Minyo
- Department of Horticulture and Crop Science, Ohio State University College of Food, Agricultural, and Environmental Sciences
- Danilo E. Moreta
- School of Integrative Plant Science, Cornell University
- Seth C. Murray
- Department of Soil and Crop Sciences, Texas A&M University
- Rebecca Nelson
- Cornell University
- James C. Schnable
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln
- Rajandeep S. Sekhon
- Department of Genetics and Biochemistry, Clemson University
- Maninder P. Singh
- Department of Plant, Soil and Microbial Sciences, Michigan State University
- Peter Thomison
- Ohio State University
- Addie Thompson
- Department of Plant, Soil and Microbial Sciences, Michigan State University
- Mitchell Tuinstra
- Department of Agronomy, Purdue University
- Jason Wallace
- Department of Crop & Soil Sciences, University of Georgia
- Jacob D. Washburn
- USDA-ARS
- Teclemariam Weldekidan
- Department of Plant and Soil Sciences, University of Delaware
- Randall J. Wisser
- Department of Plant and Soil Sciences, University of Delaware
- Wenwei Xu
- Texas A&M University
- Natalia de Leon
- Department of Agronomy, University of WI – Madison
- DOI
- https://doi.org/10.1186/s12863-023-01129-2
- Journal volume & issue
-
Vol. 24,
no. 1
pp. 1 – 4
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.
Keywords