… We first review kernel-based prediction models being used for prediction using genomic
data. Our aim is to approximate an unknown “true” genetic signal g with a certain function of a …

… traits are often visually scored as categorical traits and analyzed as a Gaussian variable, thus
violating the normality assumption, which could affect the prediction … for genomic prediction …

… -wide markers and economically important traits. The aims of this … architecture of weight and
length in juvenile Atlantic salmon; (ii) to assess the utility of genomic prediction for these traits…

… MT genomic prediction models mimic multi-trait … for each trait (Magnussen 1990; Hazel et
al. 1994), which forms the basis in the present study. The MT prediction models uses genome-…

… trait analysis. The objectives of this study were to assess the capacity of multi-trait models to
improve genomic prediction … auxiliary traits, and to determine the combinations of traits that …

… Genomic prediction for grain quality traits has previously been reported in crops such …
genomic prediction of protein content and end-use quality in wheat. Multi-trait genomic prediction …

… prediction. The proportion of variance explained for height is comparable to the estimated
common SNP heritability from genome-wide complex trait … close the gap between prediction R-…

… -TST genomic relationships affects prediction accuracy. Because the focus of the article by
Yang and colleagues [7] is on quantifying the effects of imperfect LD on estimates of variance …

… that the genomic prediction models we describe address a different problem from that of trying
to predict a longer-term … Genomic prediction of quantitative traits from SNP data estimates …

… slightly worse than a genomic prediction model that better … improve selection for conventional
traits by including genetic … to improve genomic prediction of seed composition traits in …