Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
A multi-trait multi-locus stepwise approach for conducting GWAS on correlated traits
Samuel B. Fernandes
, Terry M. Casstevens
, Peter J. Bradbury
,
Alexander E. Lipka
Crop Sciences
Statistics
National Center for Supercomputing Applications (NCSA)
Carl R. Woese Institute for Genomic Biology
Lemann Center for Brazilian Studies
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A multi-trait multi-locus stepwise approach for conducting GWAS on correlated traits'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Multilocus Approach
100%
Multi-trait
100%
Stepwise Approach
100%
Quantitative Trait nucleotides
37%
Multiple Traits
25%
Multiple-trait Model
25%
Genotype-phenotype
12%
Statistical Model
12%
Glycine Max
12%
Heritability
12%
Genomic Loci
12%
Stepwise Procedure
12%
Marker Data
12%
Single Marker
12%
High-throughput Genotyping
12%
Model Selection Strategy
12%
Maize(Zea mays L.)
12%
High-throughput Phenotyping
12%
Genetic Architecture
12%
Related Traits
12%
Maize Grain
12%
Simultaneous Effects
12%
Single Trait
12%
Agronomically Important Traits
12%
Tocochromanols
12%
Stepwise Model Selection
12%
Single-Locus Model
12%
Biochemistry, Genetics and Molecular Biology
Genome Wide Association Study
100%
Quantitative Trait
100%
Genotyping
66%
Zea
33%
Genetic Architecture
33%
Genomics
33%
Agricultural and Biological Sciences
Quantitative Trait
100%
Genotyping
66%
Grains
33%
Heritability
33%
Mathematical Model
33%