2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative

BMC Research Notes

Data Note

John McKay¹  James Schnable²  Candice N. Hirsch³  Mitchell Tuinstra⁴  Dylan L Schoemaker⁵  Dayane Cristina Lima⁵  Kathryn J. Michel⁵  Shawn Kaeppler⁵  Martin Costa⁵  Alden Perkins⁵  Alejandro Castro Aviles⁵  Ryan Timothy Alpers⁵  Natalia de Leon⁵  Jason Wallace⁶  Timothy Beissinger⁷  Joseph L. Gage⁸  Rajandeep S. Sekhon⁹  Richard Minyo^1,10  Teclemariam Weldekidan^1,11  Erin E. Sparks^1,11  Addie Thompson^1,12  Maninder P. Singh^1,12  Seth C. Murray^1,13  Maria Cinta Romay^1,14  David Ertl^1,15  Peter Thomison^1,16  Michael A. Gore^1,17  Wenwei Xu^1,18  Jode Edwards^1,19  Joseph E. Knoll^2,20  James Holland^2,21  Edward Buckler^2,22  Jacob D. Washburn^2,23  Sherry Flint-Garcia^2,23  Martin Bohn^2,24 

[1] Department of Agricultural Biology, Colorado State University, 80523, Fort Collins, CO, USA;Department of Agronomy and Horticulture, University of Nebraska-Lincoln, 68588, Lincoln, NE, USA;Department of Agronomy and Plant Genetics, University of Minnesota, 55108, St Paul, MN, USA;Department of Agronomy, Purdue University, 49707, West Lafayette, IN, USA;Department of Agronomy, University of Wisconsin - Madison, 53706, Madison, WI, USA;Department of Crop & Soil Sciences, University of Georgia, 30602, Athens, GA, USA;Department of Crop Science, Center for Integrated Breeding Research, University of Göttingen, Carl-Sprengel-Weg 1, 37075, Göttingen, Germany;Department of Crop and Soil Sciences, North Carolina State University, 27695, Raleigh, NC, USA;Department of Genetics and Biochemistry, Clemson University, 29634, Clemson, SC, USA;Department of Horticulture and Crop Science, College of Food, Agricultural, and Environmental Sciences, Ohio State University, 44691, Wooster, OH, USA;Department of Plant and Soil Sciences, University of Delaware, 19716, Newark, DE, USA;Department of Plant, Soil and Microbial Sciences, Michigan State University, 48824, East Lansing, MI, USA;Department of Soil and Crop Sciences, Texas A&M University, 77843, College Station, TX, USA;Institute for Genomic Diversity, Cornell University, 14853, Ithaca, NY, USA;Iowa Corn Promotion Board, 50131, Johnston, IA, USA;Ohio State University, 43210, Columbus, OH, USA;Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, 14853, Ithaca, NY, USA;Texas A&M University, 77843, College Station, TX, USA;USDA ARS CICGRU, 716 Farmhouse Ln, 50011-1051, Ames, IA, USA;USDA-ARS Crop Genetics and Breeding Research Unit, 31793, Tifton, GA, USA;USDA-ARS Plant Science Research Unit, 27606, Raleigh, NC, USA;USDA-ARS and Cornell University, 14853, Ithaca, NY, USA;USDA-ARS, Plant Genetics Research Unit, University of Missouri, 205 Curtis Hall, 65211, Columbia, MO, USA;University of Illinois at Urbana-Champaign, 61801, Urbana, IL, USA;

关键词: Maize;    Genotype by Environment;    Grain Yield;    Stability;    Prediction;   

DOI  :  10.1186/s13104-023-06430-y

 received in 2023-05-08, accepted in 2023-07-17,  发布年份 2023

来源: Springer

【 摘 要 】

ObjectivesThis 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 descriptionThe 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.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023