BMC Research Notes (Feb 2020)
Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets
- Bridget A. McFarland,
- Naser AlKhalifah,
- Martin Bohn,
- Jessica Bubert,
- Edward S. Buckler,
- Ignacio Ciampitti,
- Jode Edwards,
- David Ertl,
- Joseph L. Gage,
- Celeste M. Falcon,
- Sherry Flint-Garcia,
- Michael A. Gore,
- Christopher Graham,
- Candice N. Hirsch,
- James B. Holland,
- Elizabeth Hood,
- David Hooker,
- Diego Jarquin,
- Shawn M. Kaeppler,
- Joseph Knoll,
- Greg Kruger,
- Nick Lauter,
- Elizabeth C. Lee,
- Dayane C. Lima,
- Aaron Lorenz,
- Jonathan P. Lynch,
- John McKay,
- Nathan D. Miller,
- Stephen P. Moose,
- Seth C. Murray,
- Rebecca Nelson,
- Christina Poudyal,
- Torbert Rocheford,
- Oscar Rodriguez,
- Maria Cinta Romay,
- James C. Schnable,
- Patrick S. Schnable,
- Brian Scully,
- Rajandeep Sekhon,
- Kevin Silverstein,
- Maninder Singh,
- Margaret Smith,
- Edgar P. Spalding,
- Nathan Springer,
- Kurt Thelen,
- Peter Thomison,
- Mitchell Tuinstra,
- Jason Wallace,
- Ramona Walls,
- David Wills,
- Randall J. Wisser,
- Wenwei Xu,
- Cheng-Ting Yeh,
- Natalia de Leon
Affiliations
- Bridget A. McFarland
- University of Wisconsin
- Naser AlKhalifah
- University of Wisconsin
- Martin Bohn
- University of Illinois at Urbana-Champaign
- Jessica Bubert
- University of Illinois at Urbana-Champaign
- Edward S. Buckler
- Cornell University
- Ignacio Ciampitti
- Kansas State University
- Jode Edwards
- USDA-ARS
- David Ertl
- Iowa Corn Growers Association
- Joseph L. Gage
- Cornell University
- Celeste M. Falcon
- University of Wisconsin
- Sherry Flint-Garcia
- USDA-ARS
- Michael A. Gore
- Cornell University
- Christopher Graham
- South Dakota State University
- Candice N. Hirsch
- University of Minnesota
- James B. Holland
- USDA-ARS
- Elizabeth Hood
- Arkansas State University
- David Hooker
- University of Guelph
- Diego Jarquin
- University of Nebraska
- Shawn M. Kaeppler
- University of Wisconsin
- Joseph Knoll
- USDA-ARS
- Greg Kruger
- University of Nebraska
- Nick Lauter
- USDA-ARS
- Elizabeth C. Lee
- University of Guelph
- Dayane C. Lima
- University of Wisconsin
- Aaron Lorenz
- University of Minnesota
- Jonathan P. Lynch
- Pennsylvania State University
- John McKay
- Colorado State University
- Nathan D. Miller
- University of Wisconsin
- Stephen P. Moose
- University of Illinois at Urbana-Champaign
- Seth C. Murray
- Texas A&M University
- Rebecca Nelson
- Cornell University
- Christina Poudyal
- University of Minnesota
- Torbert Rocheford
- Purdue University
- Oscar Rodriguez
- University of Nebraska
- Maria Cinta Romay
- Cornell University
- James C. Schnable
- University of Nebraska
- Patrick S. Schnable
- Iowa State University
- Brian Scully
- USDA-ARS
- Rajandeep Sekhon
- Clemson University
- Kevin Silverstein
- University of Minnesota
- Maninder Singh
- Michigan State University
- Margaret Smith
- Cornell University
- Edgar P. Spalding
- University of Wisconsin
- Nathan Springer
- University of Minnesota
- Kurt Thelen
- Michigan State University
- Peter Thomison
- Ohio State University
- Mitchell Tuinstra
- Purdue University
- Jason Wallace
- University of Georgia
- Ramona Walls
- University of Arizona
- David Wills
- University of Missouri
- Randall J. Wisser
- University of Delaware
- Wenwei Xu
- Texas A&M University
- Cheng-Ting Yeh
- Iowa State University
- Natalia de Leon
- University of Wisconsin
- DOI
- https://doi.org/10.1186/s13104-020-4922-8
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 6
Abstract
Abstract Objectives Advanced tools and resources are needed to efficiently and sustainably produce food for an increasing world population in the context of variable environmental conditions. The maize genomes to fields (G2F) initiative is a multi-institutional initiative effort that seeks to approach this challenge by developing a flexible and distributed infrastructure addressing emerging problems. G2F has generated large-scale phenotypic, genotypic, and environmental datasets using publicly available inbred lines and hybrids evaluated through a network of collaborators that are part of the G2F’s genotype-by-environment (G × E) project. This report covers the public release of datasets for 2014–2017. Data description Datasets include inbred genotypic information; phenotypic, climatic, and soil measurements and metadata information for each testing location across years. For a subset of inbreds in 2014 and 2015, yield component phenotypes were quantified by image analysis. Data released are accompanied by README descriptions. For genotypic and phenotypic data, both raw data and a version without outliers are reported. For climatic data, a version calibrated to the nearest airport weather station and a version without outliers are reported. The 2014 and 2015 datasets are updated versions from the previously released files [1] while 2016 and 2017 datasets are newly available to the public.
Keywords