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

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...

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Published in:	BMC research notes 2020-02, Vol.13 (1), p.71-71, Article 71
Main Authors:	McFarland, Bridget A, AlKhalifah, Naser, Bohn, Martin, Bubert, Jessica, Buckler, Edward S, Ciampitti, Ignacio, Edwards, Jode, Ertl, David, Gage, Joseph L, Falcon, Celeste M, Flint-Garcia, Sherry, Gore, Michael A, Graham, Christopher, Hirsch, Candice N, Holland, James B, Hood, Elizabeth, Hooker, David, Jarquin, Diego, Kaeppler, Shawn M, Knoll, Joseph, Kruger, Greg, Lauter, Nick, Lee, Elizabeth C, Lima, Dayane C, Lorenz, Aaron, Lynch, Jonathan P, McKay, John, Miller, Nathan D, Moose, Stephen P, Murray, Seth C, Nelson, Rebecca, Poudyal, Christina, Rocheford, Torbert, Rodriguez, Oscar, Romay, Maria Cinta, Schnable, James C, Schnable, Patrick S, Scully, Brian, Sekhon, Rajandeep, Silverstein, Kevin, Singh, Maninder, Smith, Margaret, Spalding, Edgar P, Springer, Nathan, Thelen, Kurt, Thomison, Peter, Tuinstra, Mitchell, Wallace, Jason, Walls, Ramona, Wills, David, Wisser, Randall J, Xu, Wenwei, Yeh, Cheng-Ting, de Leon, Natalia
Format:	Article
Language:	eng
Subjects:	Agricultural production Breeding Collaboration Consortia Corn Corn breeding Data Note Datasets Datasets as Topic Digital Object Identifier Environmental aspects Environmental conditions Environmental quality GBS Genetic aspects Genetic research Genome Genome, Plant - genetics Genomes Genomics Genotype Genotype & phenotype Genotypes Germplasm Growth G × E Handbooks Hybrid Hybrid corn Hybrids Image processing Image processing equipment Inbreeding Infrastructure (Economics) Maize Metadata Phenotype Phenotypes Plant Breeding Rain Seasons Software Sustainable agriculture Zea mays - genetics
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Summary:	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. 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.
ISSN:	1756-0500 1756-0500