Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets

OBJECTIVES: Crop improvement relies on analysis of phenotypic, genotypic, and environmental data. Given large, well-integrated, multi-year datasets, diverse queries can be made: Which lines perform best in hot, dry environments? Which alleles of specific genes are required for optimal performance in...

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Detalhes bibliográficos
Publicado no:BMC Res Notes
Main Authors: AlKhalifah, Naser, Campbell, Darwin A., Falcon, Celeste M., Gardiner, Jack M., Miller, Nathan D., Romay, Maria Cinta, Walls, Ramona, Walton, Renee, Yeh, Cheng-Ting, Bohn, Martin, Bubert, Jessica, Buckler, Edward S., Ciampitti, Ignacio, Flint-Garcia, Sherry, Gore, Michael A., Graham, Christopher, Hirsch, Candice, Holland, James B., Hooker, David, Kaeppler, Shawn, Knoll, Joseph, Lauter, Nick, Lee, Elizabeth C., Lorenz, Aaron, Lynch, Jonathan P., Moose, Stephen P., Murray, Seth C., Nelson, Rebecca, Rocheford, Torbert, Rodriguez, Oscar, Schnable, James C., Scully, Brian, Smith, Margaret, Springer, Nathan, Thomison, Peter, Tuinstra, Mitchell, Wisser, Randall J., Xu, Wenwei, Ertl, David, Schnable, Patrick S., De Leon, Natalia, Spalding, Edgar P., Edwards, Jode, Lawrence-Dill, Carolyn J.
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2018
Assuntos:
Data Note
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6038255/
https://ncbi.nlm.nih.gov/pubmed/29986751
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13104-018-3508-1
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