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Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets

Authors :
James C. Schnable
Rajandeep S. Sekhon
Nick Lauter
Rebecca Nelson
Patrick S. Schnable
Joseph E. Knoll
Michael A. Gore
Seth C. Murray
Brian T. Scully
Diego Jarquin
John K. McKay
Christopher Graham
Ignacio A. Ciampitti
Christina Poudyal
Kurt D. Thelen
Joseph L. Gage
Edgar P. Spalding
Naser Alkhalifah
Jessica Bubert
Shawn M. Kaeppler
Oscar Rodriguez
Celeste M. Falcon
Maria Cinta Romay
Natalia de Leon
Greg R. Kruger
Randall J. Wisser
Maninder P. Singh
Bridget A. McFarland
David S. Ertl
Kevin A. T. Silverstein
Nathan M. Springer
James B. Holland
Dayane C. Lima
Peter R. Thomison
Cheng Ting Yeh
Nathan D. Miller
Candice N. Hirsch
Jonathan P. Lynch
Torbert Rocheford
Mitchell R. Tuinstra
Elizabeth E. Hood
Sherry Flint-Garcia
David C. Hooker
Jode W. Edwards
David M. Wills
Margaret E. Smith
Stephen P. Moose
Aaron J. Lorenz
Elizabeth C. Lee
Wenwei Xu
Edward S. Buckler
Jason G. Wallace
Ramona Walls
Martin O. Bohn
Source :
BMC Research Notes, Vol 13, Iss 1, Pp 1-6 (2020), BMC Research Notes
Publication Year :
2020
Publisher :
BMC, 2020.

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.

Details

Language :
English
ISSN :
17560500
Volume :
13
Issue :
1
Database :
OpenAIRE
Journal :
BMC Research Notes
Accession number :
edsair.doi.dedup.....f00b59e4c4799ee0eff064f7a67a7ac9