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Importance of genetic architecture in marker selection decisions for genomic prediction
Rafael Della Coletta
, Samuel B. Fernandes
, Patrick J. Monnahan
, Mark A. Mikel
,
Martin O. Bohn
,
Alexander E. Lipka
, Candice N. Hirsch
Biotechnology Center
Crop Sciences
Carl R. Woese Institute for Genomic Biology
National Center for Supercomputing Applications (NCSA)
Statistics
Lemann Center for Brazilian Studies
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peer-review
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Keyphrases
Marker-assisted Selection
100%
Selection Decisions
100%
Genetic Architecture
100%
Genomic Prediction
100%
Structural Variants
100%
Single nucleotide Polymorphism
70%
Prediction Accuracy
30%
Causative Variant
30%
Breeding Program
20%
Prediction Model
20%
Linkage Disequilibrium
20%
Multi-environment
20%
Environmental Adaptation
10%
Genetic Markers
10%
Environmental Prediction
10%
Breeder
10%
Multiple Environments
10%
Genomic Prediction Models
10%
Polymorphisms Variants
10%
Genomic Prediction Accuracy
10%
Relative Gain
10%
Ways to Improve
10%
Biochemistry, Genetics and Molecular Biology
Single-Nucleotide Polymorphism
100%
Genetic Architecture
100%
Genomics
100%
Gene Linkage Disequilibrium
28%
Genetics
14%
Evolutionary Adaptation
14%
Genetic Marker
14%