Article
Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets.
BMC research notes - 9 Jul 2018
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
Abstract excerpt
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 each environment? Such datasets also can be leveraged to predict cultivar performance, even in uncharacterized...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.