Agronomy and Horticulture Department



Joseph L. Gage, University of Wisconsin-Madison
Diego Jarquin, University of Nebraska-LincolnFollow
Cinta Romay, Cornell University
Aaron Lorenz, University of MinnesotaFollow
Edward S. Buckler, Cornell University
Shawn Kaeppler, University of Wisconsin-Madison
Naser Alkhalifah, Iowa State University
Martin Bohn, University of Illinois at Urbana-Champaign
Darwin A. Campbell, Iowa State UniversityFollow
Jode Edwards, USDA, Agricultural Research Service
David Ertl, Iowa Corn Promotion Board
Sherry Flint-Garcia, USDA, Agricultural Research Service
Jack Gardiner, University of Missouri-Columbia
Byron Good, University of Guelph
Candice N. Hirsch, University of Minnesota
Jim Holland, USDA, Agricultural Research Service
David C. Hooker, University of Guelph-Ridgetown
Joseph Knoll, USDA, Agricultural Research Service
Judith Kolkman, Cornell University
Greg Kruger, West Central Research and Extension Center, University of Nebraska, North Platte, NEFollow
Nick Lauter, USDA, Agricultural Research Service
Carolyn J. Lawrence-Dill, Iowa State University
Elizabeth Lee, University of Guelph
Jonathan Lynch, Penn State UniversityFollow
Seth C. Murray, Texas A&M University
Rebecca Nelson, Cornell University
Jane Petzoldt, University of Wisconsin-Madison
Torbert Rocheford, Purdue University
James C. Schnable, University of Nebraska-LincolnFollow
Patrick S. Schnable, Iowa State UniversityFollow
Brian Scully, USDA, Agricultural Research Service
Margaret Smith, Cornell University
Nathan M. Springer, University of Minnesota
Srikant Srinivasan, Indian Institute of Technology
Renee Walton, Iowa State University
Teclemariam Weldekidan, University of Delaware
Randall J. Wisser, University of Delaware
Wenwei Xu, Texas A&M University
Jianming Yu, Iowa State University
Natalia de Leon, University of Wisconsin-MadisonFollow










Date of this Version





© The Author(s) 2017

Open access

DOI: 10.1038/s41467-017-01450-2


Remarkable productivity has been achieved in crop species through artificial selection and adaptation to modern agronomic practices. Whether intensive selection has changed the ability of improved cultivars to maintain high productivity across variable environments is unknown. Understanding the genetic control of phenotypic plasticity and genotype by environment (G × E) interaction will enhance crop performance predictions across diverse environments. Here we use data generated from the Genomes to Fields (G2F) Maize G × E project to assess the effect of selection on G × E variation and characterize polymorphisms associated with plasticity. Genomic regions putatively selected during modern temperate maize breeding explain less variability for yield G × E than unselected regions, indicating that improvement by breeding may have reduced G × E of modern temperate cultivars. Trends in genomic position of variants associated with stability reveal fewer genic associations and enrichment of variants 0–5000 base pairs upstream of genes, hypothetically due to control of plasticity by short-range regulatory elements.