… Utilizing the whole genomic variation of complex traits to predict the yet-to… genetic values
via whole genome prediction (WGP) and to infer the underlying genetic architecture via genome …

… tool to make accurate predictions from complex data such as … DL specific applications to
genomic prediction, since there … provide a basic outline of genomic prediction theory and current …

… application of genomic selection and genomic prediction (GS/… covariates in the LMM improved
the prediction accuracy [15, 16], … to construct a trait-specific genomic relationship matrix (…

… of genomic selection to increase the rate of genetic gain for these traits by deriving genomic
… We evaluated the three different genomic prediction approaches GBLUP, genomic single …

… In conclusion, dominance variance may reduce the accuracy of genomic selection
noticeably, if few very large QTL show a lot of dominance, but it does not eliminate its …

… Accurate prediction of complex traits … to predict complex traits. However, capitalizing on the
untapped potential of Big Data will require important changes in the way genomic prediction …

… for genome-enabled prediction. Complex traits are presumably influenced by many genomic
… This review centers on whole-genome regression using kernel methods applied to a wide …

… the predictive ability of expensive and labor-intensive traits. In this study, we assessed
the potential use of a MT genomic prediction model by incorporating two physiological traits (…

… GS to select and improve complex traits (Bernardo, 2008). … the predictive ability and genetic
architecture of a complex trait … to predict complex traits while deducing the most accurate …

… the accuracy of genomic prediction which can be achieved for this trait with the accuracy of
genomic predictions … a clear effect of trait architecture on the accuracy of genomic predictions. …