… Reecy JM, Tait RG, VanOverbeke DL, Garmyn AJ, Mateescu RG, Van Eenennaam AL, Duan
Q, Liu Q, Schoonmaker JP, Drewnoski ME, Beitz DC, Kizilkaya K, Fernando RL, Garrick DJ: …

Background Two Bayesian methods, BayesCπ and BayesDπ, were developed for genomic
prediction to address the drawback of BayesA and BayesB regarding the impact of prior …

Background Genomic prediction of breeding values involves a so-called training analysis
that predicts the influence of small genomic regions by regression of observed information on …

Genomic selection can increase genetic gain per generation through early selection. Genomic
selection is expected to be particularly valuable for traits that are costly to phenotype and …

The overall motivation for the development of an information system for beef cattle improvement
is the belief that knowledge of breeding values and heterosis effects allows one to …

… Dorian J Garrick Dorian J Garrick … David Habier, Rohan L Fernando, Dorian J Garrick,
Genomic BLUP Decoded: A Look into the Black Box of Genomic Prediction, Genetics, Volume 194, …

Genomic prediction involves characterization of chromosome fragments in a training population
to predict merit. Confidence in the predictions relies on their evaluation in a validation …

Conventional prediction of dairy cattle merit involves setting up and solving linear equations
with the number of unknowns being the number of animals, typically millions, multiplied by …

Stature is affected by many polymorphisms of small effect in humans 1 . In contrast, variation
in dogs, even within breeds, has been suggested to be largely due to variants in a small …

Background Genomic selection is a recently developed technology that is beginning to
revolutionize animal breeding. The objective of this study was to estimate marker effects to derive …