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Diversifying maize genomic selection models
Brian R. Rice,
Alexander E. Lipka
Crop Sciences
Statistics
National Center for Supercomputing Applications (NCSA)
Carl R. Woese Institute for Genomic Biology
Lemann Center for Brazilian Studies
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Keyphrases
Genomic Selection
100%
Maize
100%
Selection Model
100%
Maize Breeding
42%
Breeding Value
28%
Genetic Gain
28%
High-throughput
14%
Adaptation
14%
Gene-environment Interaction
14%
Breeding Program
14%
Prediction Accuracy
14%
Omics
14%
Multiple Levels
14%
Interaction Levels
14%
Marker Data
14%
Maize Inbred Lines
14%
Maize Hybrids
14%
Breeding Cycle
14%
Genomic Markers
14%
Non-additive Genetic Effects
14%
Biological Hierarchy
14%
Biochemistry, Genetics and Molecular Biology
Marker-Assisted Selection
100%
Genetic Gain
28%
Genotyping
14%
Additive Genetic Effects
14%
Agricultural and Biological Sciences
Marker-Assisted Selection
100%
Breeding Value
28%
Genotyping
14%