BMC Research Notes (Sep 2023)
2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative
- Dayane Cristina Lima,
- Alejandro Castro Aviles,
- Ryan Timothy Alpers,
- Alden Perkins,
- Dylan L Schoemaker,
- Martin Costa,
- Kathryn J. Michel,
- Shawn Kaeppler,
- David Ertl,
- Maria Cinta Romay,
- Joseph L. Gage,
- James Holland,
- 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,
- James Schnable,
- Rajandeep S. Sekhon,
- Maninder P. Singh,
- Erin E. Sparks,
- Peter Thomison,
- Addie Thompson,
- Mitchell Tuinstra,
- Jason Wallace,
- Jacob D. Washburn,
- Teclemariam Weldekidan,
- Wenwei Xu,
- Natalia de Leon
Affiliations
- Dayane Cristina Lima
- Department of Agronomy, University of Wisconsin - Madison
- Alejandro Castro Aviles
- Department of Agronomy, University of Wisconsin - Madison
- Ryan Timothy Alpers
- Department of Agronomy, University of Wisconsin - Madison
- Alden Perkins
- Department of Agronomy, University of Wisconsin - Madison
- Dylan L Schoemaker
- Department of Agronomy, University of Wisconsin - Madison
- Martin Costa
- Department of Agronomy, University of Wisconsin - Madison
- Kathryn J. Michel
- Department of Agronomy, University of Wisconsin - Madison
- Shawn Kaeppler
- Department of Agronomy, University of Wisconsin - 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, Center for Integrated Breeding Research, University of Göttingen
- 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, Plant Genetics Research Unit, University of Missouri
- Michael A. Gore
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University
- Candice N. Hirsch
- Department of Agronomy and Plant Genetics, University of Minnesota
- Joseph E. Knoll
- USDA-ARS Crop Genetics and Breeding Research Unit
- John McKay
- Department of Agricultural Biology, Colorado State University
- Richard Minyo
- Department of Horticulture and Crop Science, College of Food, Agricultural, and Environmental Sciences, Ohio State University
- Seth C. Murray
- Department of Soil and Crop Sciences, Texas A&M University
- James 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
- Erin E. Sparks
- Department of Plant and Soil Sciences, University of Delaware
- 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, Plant Genetics Research Unit, University of Missouri
- Teclemariam Weldekidan
- Department of Plant and Soil Sciences, University of Delaware
- Wenwei Xu
- Texas A&M University
- Natalia de Leon
- Department of Agronomy, University of Wisconsin - Madison
- DOI
- https://doi.org/10.1186/s13104-023-06430-y
- Journal volume & issue
-
Vol. 16,
no. 1
pp. 1 – 4
Abstract
Abstract Objectives This release note describes the Maize GxE project datasets within the Genomes to Fields (G2F) Initiative. The Maize GxE project aims to understand genotype by environment (GxE) interactions and use the information collected to improve resource allocation efficiency and increase genotype predictability and stability, particularly in scenarios of variable environmental patterns. Hybrids and inbreds are evaluated across multiple environments and phenotypic, genotypic, environmental, and metadata information are made publicly available. Data description The datasets include phenotypic data of the hybrids and inbreds evaluated in 30 locations across the US and one location in Germany in 2020 and 2021, soil and climatic measurements and metadata information for all environments (combination of year and location), ReadMe, and description files for each data type. A set of common hybrids is present in each environment to connect with previous evaluations. Each environment had a collaborator responsible for collecting and submitting the data, the GxE coordination team combined all the collected information and removed obvious erroneous data. Collaborators received the combined data to use, verify and declare that the data generated in their own environments was accurate. Combined data is released to the public with minimal filtering to maintain fidelity to the original data.
Keywords
