… trait were varied to determine their effect on prediction accuracy. For all three traits, genomic
prediction models outperformed prediction … Prediction accuracies ranged from 0.31 and 0.34 …

… approach for genomic prediction, but also that the deep learning method is a practical
approach for predicting univariate and multivariate traits in the context of genomic selection. …

… The aim of our study was to evaluate methods for genomic prediction in Hanwoo cattle. …
architecture of traits, were used to compare the accuracy of genomic predictions for the traits BT, …

… Parametric and nonparametric methods have been developed for purposes of predicting …
are unable to predict phenotypes of traits with known epistatic genetic architectures. Herein, we …

… of genomic prediction models. We developed a genomic feature best linear unbiased
prediction (GFBLUP) model that implements this strategy and applied it to three quantitative traits (…

… We trained genomic prediction models using three shrinkage methods: ridge regression (RR),
least absolute shrinkage and selection operator (LASSO), and elastic nets (EN), using 50 …

… LD to improve the precision of QTL (quantitative trait loci) discovery and prediction. We
compare the accuracy of genomic prediction in validation individuals that are not closely related …

… , but not using complete genome sequences. Here, we report genomic prediction for starvation
stress … We constructed a genomic relationship matrix from the SNP data and used it in a …

… Finally, within each experiment, the traits were replaced by the first principal … all traits in this
experiment; in all other cases, the original traits were retained. An overview of final traits and …

… In order to investigate the performance of the alternative models for traits with different
genetic architectures we simulated a trait controlled by an increasing number of QTL with each …