Although the genotype-phenotype map plays a central role both in Quantitative and
Evolutionary Genetics, the formalization of a completely general and satisfactory model of …

This study presents a method for genomic prediction that uses individual-level data and
summary statistics from multiple populations. Genome-wide markers are nowadays widely …

Hybrids are broadly used in plant breeding and accurate estimation of variance components
is crucial for optimizing genetic gain. Genome-wide information may be used to explore …

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

Background There is wide interest in calculating genomic breeding values (GEBVs) in
livestock using dense, genome-wide SNP data. The general framework for genomic …

Best linear unbiased prediction (BLUP) is widely used in plant research to address
experimental variation. For phenotypic values, BLUP accuracy is largely dependent on …

Background Genomic models that link phenotypes to dense genotype information are
increasingly being used for infering variance parameters in genetics studies. The variance …

Background Most quantitative traits are controlled by multiple quantitative trait loci (QTL).
The contribution of each locus may be negligible but the collective contribution of all loci is …

Genomic predictions (GEBVs) are often validated by predicting later deregressed
conventional evaluations or daughter yield deviations (dEBVs or DYDs) from earlier GEBVs …

Background For genomic prediction and genome-wide association studies (GWAS) using
mixed models, covariance between individuals is estimated using molecular markers. Based …