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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Data Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6038255/
https://www.ncbi.nlm.nih.gov/pubmed/29986751
http://dx.doi.org/10.1186/s13104-018-3508-1

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