Background Bayesian genomic prediction methods were developed to simultaneously fit all
genotyped markers to a set of available phenotypes for prediction of breeding values for …

Efficient genomic selection in animals or crops requires the accurate prediction of the
agronomic performance of individuals from their high-density molecular marker profiles …

The ability to predict the agronomic performance of single-crosses with high precision is
essential for selecting superior candidates for hybrid breeding. With recent technological …

Intense structuring of plant breeding populations challenges the design of the training set
(TS) in genomic selection (GS). An important open question is how the TS should be …

In comparison to conventional marker-assisted selection (MAS), which utilizes only a subset
of genetic markers associated with a trait to predict breeding values (BVs), genome-wide …

The BLR (Bayesian linear regression) package of R implements several Bayesian
regression models for continuous traits. The package was originally developed for …

This dissertation includes a general introduction (Chapter 1), three journal manuscripts
(Chapters 2 to 4) and a section of general conclusions (Chapter 5). The paper in Chapter 2 …

Maize, at all levels of resolution, is one of the most diverse crop species. Large insertions
and deletions are common between maize inbreds, and include tandem repeat clusters …

One of the most important factors affecting genomic prediction accuracy appears to be
training population (TP) composition. The objective of this study was to evaluate the effect of …

Genomic prediction is applicable to individuals of different breeds. Empirical results to date,
however, show limited benefits in using information on multiple breeds in the context of …