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Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017475/ https://www.ncbi.nlm.nih.gov/pubmed/32051026 http://dx.doi.org/10.1186/s13104-020-4922-8 |
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author | 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 |
author_facet | 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 |
author_sort | McFarland, Bridget A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7017475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70174752020-02-20 Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets 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 BMC Res Notes Data Note 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. BioMed Central 2020-02-12 /pmc/articles/PMC7017475/ /pubmed/32051026 http://dx.doi.org/10.1186/s13104-020-4922-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Data Note 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 Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets |
title | Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets |
title_full | Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets |
title_fullStr | Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets |
title_full_unstemmed | Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets |
title_short | Maize genomes to fields (G2F): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets |
title_sort | maize genomes to fields (g2f): 2014–2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017475/ https://www.ncbi.nlm.nih.gov/pubmed/32051026 http://dx.doi.org/10.1186/s13104-020-4922-8 |
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