The primary objective of this paper is to provide a guide on implementing Bayesian
generalized kernel regression methods for genomic prediction in the statistical software R …

Potato breeding must improve its efficiency by increasing the reliability of selection as well
as identifying a promising germplasm for crossing. This study shows the prediction accuracy …

The use of genomic information for prediction of future phenotypes or breeding values for
the candidates to selection has become a standard over the last decade. However, most …

Background Analysis and prediction of complex traits using microbiome data combined with
host genomic information is a topic of utmost interest. However, numerous questions remain …

In this study, we extend research on genomic prediction (GP) to polysomic polyploid plant
species with the main objective to investigate single-trait (ST) and multitrait (MT) …

The genomic relationship matrix plays a key role in the analysis of genetic diversity, genomic
prediction, and genome-wide association studies. The epistatic genomic relationship matrix …

Genomic selection in sugarcane faces challenges due to limited genomic tools and high
genomic complexity, particularly because of its high and variable ploidy. The classification of …

Abstract Key Message The accuracy of genomic prediction of phenotypes can be increased
by including the top-ranked pairwise SNP interactions into the prediction model. Abstract We …

The rapid development of molecular markers and sequencing technologies has made it
possible to use genomic prediction (GP) and selection (GS) in animal and plant breeding …

When including genotype× environment interactions (G× E) in genomic prediction models,
Hadamard or Kronecker products have been used to model the covariance structure of …