Genomic selection (GS) is a promising approach exploiting molecular genetic markers to
design novel breeding programs and to develop new markers-based models for genetic …

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

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 …

Key message Population structure must be evaluated before optimization of the training set
population. Maximizing the phenotypic variance captured by the training set is important for …

Because a growing proportion of the beef output in many countries originates from dairy
herds, the most critical decisions about the genetic merit of most carcasses harvested are …

As the global population and global wealth both continue to increase, so will the demand for
livestock products, especially those that are highly nutritious. However, competition with …

The genomic prediction of phenotypes and breeding values in animals and plants has
developed rapidly into its own research field. Results of genomic prediction studies are often …

Early application of genomic selection relied on SNP estimation with phenotypes or de-
regressed proofs (DRP). Chips of 50k SNP seemed sufficient for an accurate estimation of …

Genomic prediction is expected to considerably increase genetic gains by increasing
selection intensity and accelerating the breeding cycle. In this study, marker effects …

Background To obtain predictions that are not biased by selection, the conditional mean of
the breeding values must be computed given the data that were used for selection. When …