In the last decade, genomic selection has become a standard in the genetic evaluation of
livestock populations. However, most procedures for the implementation of genomic …

Genomic Selection (GS) is a method in plant breeding to predict the genetic value of
untested lines based on genome-wide marker data. The method has been widely explored …

Modern whole-genome prediction (WGP) frameworks that focus on multi-environment trials
(MET) integrate large-scale genomics, phenomics, and envirotyping data. However, the …

Deep learning (DL) is a promising method for genomic-enabled prediction. However, the
implementation of DL is difficult because many hyperparameters (number of hidden layers …

Main conclusion Genomic selection and its importance in crop breeding. Integration of GS
with new breeding tools and developing SOP for GS to achieve maximum genetic gain with …

Pleiotropy (whereby one genetic polymorphism affects multiple traits) and epistasis
(whereby non-linear interactions between genetic polymorphisms affect the same trait) are …

Epistasis, commonly defined as the interaction between multiple genes, is an important
genetic component underlying phenotypic variation. Many statistical methods have been …

Key message Complementing genomic data with other “omics” predictors can increase the
probability of success for predicting the best hybrid combinations using complex agronomic …

Key message Including additive and additive-by-additive epistasis in a NOIA
parametrization did not yield orthogonal partitioning of genetic variances, nevertheless, it …

Gene expression profiles potentially hold valuable information for the prediction of breeding
values and phenotypes. In this study, the utility of transcriptome data for phenotype …