The rapid growth in genomic selection data provides unprecedented opportunities to
discover and utilize complex genetic effects for improving phenotypes, but the methodology …

Large-effect loci—those discovered by genome-wide association studies or linkage
mapping—associated with key traits segregate amidst a background of minor, often …

Penalized regression approaches are standard tools in quantitative genetics. It is known that
the fit of an\emph {ordinary least squares}(OLS) regression is independent of certain …

Hybridization between related species results in the formation of an allopolyploid with
multiple subgenomes. These subgenomes will each contain complete, yet evolutionarily …

Large-scale envirotyping (environmental+ typing) or simply enviromics, is an emerging field
of data science, applied both in agronomic research and plant breeding. This omics consists …

Background: Genomic selection has been implemented in livestock genetic evaluations for
years. However, currently most genomic selection models only consider the additive effects …

Wide availability of genomic data has had a considerable impact on plant and animal
breeding programs which enables the study of genotypes and their relationships with …

The importance of accurate genomic prediction of phenotypes in plant breeding is
undeniable, as higher prediction accuracy can increase selection responses. In this study …

Incorporating Interactions and Gene Annotation Data in Genomic Prediction Page 1 Incorporating
Interactions and Gene Annotation Data in Genomic Prediction Dissertation for the Doctoral …

One of the great challenges for plant breeders is dealing with the vast number of putative
candidates, which cannot be tested exhaustively in multi-environment field trials. Using …