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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 A. Ciampitti, Jode W. Edwards, David Ertl, Joseph L. Gage, Celeste M. Falcon, Sherry Flint-García, Michael A. Gore, Christopher Graham, Candice N. Hirsch, James B. Holland, Elizabeth E. Hood, David C. Hooker, Diego Jarquín, Shawn M. Kaeppler, J. Knoll, Greg R. Kruger, Nick Lauter, Elizabeth C. Lee, Dayane Cristina Lima, Aaron J. Lorenz, Jonathan P. Lynch, John McKay, Nathan D. Miller, Stephen P. Moose, Seth C. Murray, Rebecca Nelson, Christina Poudyal, Torbert Rocheford, Oscar Rodrı́guez, Maria Cinta Romay, James C. Schnable, Patrick S. Schnable, Brian T. Scully, Rajandeep S. Sekhon, Kevin A.T. Silverstein, Maninder P. Singh, Margaret E. Smith, Edgar P. Spalding, Nathan M. Springer, Kurt D. Thelen, Peter R. Thomison, Mitchell R. Tuinstra, Jason G. Wallace, Ramona Walls, David M. Wills, Randall J. Wisser, Wenwei Xu, Cheng‐Ting Yeh, Natalia de León

2020BMC Research Notes75 citationsDOIOpen Access PDF

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.

Topics & Concepts

MetadataContext (archaeology)OutlierPhenomicsPopulationData scienceGenomeComputer scienceBiologyGeographyGenomicsArtificial intelligenceMedicineGeneticsWorld Wide WebPaleontologyEnvironmental healthGeneGenetic Mapping and Diversity in Plants and AnimalsGenetics and Plant BreedingCrop Yield and Soil Fertility
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