Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction
methods have been proposed including the standard additive genetic effect model for which …

Although hybrid crop varieties are among the most popular agricultural innovations, the
rationale for hybrid crop breeding is sometimes misunderstood. Hybrid breeding is slower …

Genomic Selection (GS) is a new breeding method in which genome-wide markers are used
to predict the breeding value of individuals in a breeding population. GS has been shown to …

Both linear mixed models (LMMs) and sparse regression models are widely used in
genetics applications, including, recently, polygenic modeling in genome-wide association …

Genomic-enabled prediction is becoming increasingly important in animal and plant
breeding and is also receiving attention in human genetics. Deriving accurate predictions of …

Abstract Background Two Bayesian methods, BayesC π and BayesD π, were developed for
genomic prediction to address the drawback of BayesA and BayesB regarding the impact of …

The first national single-step, full-information (phenotype, pedigree, and marker genotype)
genetic evaluation was developed for final score of US Holsteins. Data included final scores …

We wrote this book to fill the gap between textbooks of quantitative genetic theory and
software manuals that provide details on analytical methods but little context or perspective …

Simulation and empirical studies of genomic selection (GS) show accuracies sufficient to
generate rapid genetic gains. However, with the increased popularity of GS approaches …

We intuitively believe that the dramatic drop in the cost of DNA marker information we have
experienced should have immediate benefits in accelerating the delivery of crop varieties …