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

Authors: MCFARLAND, BRIDGET - University Of Wisconsin; ALKHALIFAH, NASER - University Of Wisconsin; BOHN, MARTIN - University Of Illinois; BUBERT, JESSICA - University Of Illinois; Buckler, Edward - Ed; CIAMPITTI, IGNACIO - Kansas State University; Edwards, Jode; ERTL, DAVID - Iowa Corn Promotion Board; Gage, Joseph; FALCON, CELESTE - University Of Wisconsin; Flint-Garcia, Sherry; GORE, MICHAEL - Cornell University; GRAHAM, CHRISTOPHER - South Dakota State University; HIRSCH, CANDICE - University Of Minnesota; Holland, Jim - Jim; HOOD, ELIZABETH - Arkansas State University; HOOKER, DAVID - University Of Guelph; JARQUIN, DIEGO - University Of Nebraska; KAEPPLER, SHAWN - University Of Wisconsin; Knoll, Joseph - Joe; KRUGER, GREG - University Of Nebraska; Lauter, Nicholas; LEE, ELIZABETH - University Of Guelph; LIMA, DAYANE - University Of Wisconsin; LORENZ, AARON - University Of Minnesota; LYNCH, JONATHAN - Pennsylvania State University; MCKAY, JOHN - Colorado State University; MILLER, NATHAN - University Of Wisconsin; MOOSE, STEPHEN - University Of Illinois; MURRAY, SETH - Texas A&M University; NELSON, REBECCA - Cornell University; POUDYAL, CHRISTINA - University Of Minnesota; ROCHEFORD, TORBERT - Purdue University; RODRIGUEZ, OSCAR - University Of Nebraska; ROMAY, MARIA CINTA - Cornell University; SCHNABLE, JAMES - University Of Nebraska; SCHNABLE, PATRICK - Iowa State University; Scully, Brian; SEKHON, REJANDEEP - Clemson University; SILVERSTEIN, KEVIN - University Of Minnesota; SINGH, MANINDER - Michigan State University; SMITH, MARGARET - Cornell University; SPALDING, EDGAR - University Of Wisconsin; SPRINGER, NATHAN - University Of Minnesota; THELEN, KURT - Michigan State University; THOMISON, PETER - The Ohio State University; TUINSTRA, MITCHELL - Purdue University; WALLACE, JASON - University Of Georgia; WALLS, RAMONA - University Of Arizona; WILLS, DAVID - University Of Missouri; WISSER, RANDALL - University Of Delaware; XU, WENWEI - Texas A&M University; YEH, CHENG-TING - Iowa State University; DE LEON, NATALIA - University Of Wisconsin

Submitted to: BMC Research Notes
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 11/12/2019
Publication Date: 2/12/2020
Citation: Mcfarland, B.A., Alkhalifah, N., Bohn, M., Bubert, J., Buckler IV, E.S., Ciampitti, I., Edwards, J.W., Ertl, D., Gage, J.L., Falcon, C.M., Flint Garcia, S.A., Gore, M., Graham, C., Hirsch, C., Holland, J.B., Hood, E., Hooker, D., Jarquin, D., Kaeppler, S., Knoll, J.E., Kruger, G., Lauter, N.C., Lee, E.C., Lima, D.C., Lorenz, A., Lynch, J.P., Mckay, J., Miller, N.D., Moose, S.P., Murray, S.C., Nelson, R., Poudyal, C., Rocheford, T., Rodriguez, O., Romay, M., Schnable, J.C., Schnable, P.S., Scully, B.T., Sekhon, R., Silverstein, K., Singh, M., Smith, M., Spalding, E.P., Springer, N., Thelen, K., Thomison, P., Tuinstra, M., Wallace, J., Walls, R., Wills, D., Wisser, R.J., Xu, W., Yeh, C., De Leon, N. Maize genomes to fields (G2F): 2014 –2017 field seasons: genotype, phenotype, climatic, soil and inbred ear image datasets. BMC Research Notes. 13,71 (2020). https://doi.org/10.1186/s13104-020-4922-8.
DOI: https://doi.org/10.1186/s13104-020-4922-8

Interpretive Summary: Development of new crop varieties is a data-driven process that relies on the integration of multiple sources of data such as genetic, performance, and environmental data. Integration of these datasets provides a wealth of information from which scientists can research crop responses to differing environments. The Genomes to Fields project has assembled a large data set encompassing several hundred maize hybrids grown across dozens of environments. The project is ongoing and will continue to accumulate new data as a resource for diverse scientific inquiry. This report covers the public release of datasets for 2014-2017.

Technical Abstract: 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.