… We conclude by highlighting some potential future directions in kernel-based whole genome
prediction methods. Throughput of genomics, transcriptomic and proteomic technologies …

… in a prediction model simultaneously, whole genome prediction (WGP) has largely promoted
the usage of whole genome … prediction approach were found to have a large effect on the …

… Comparison of grain yield predictions based on genomic best linear unbiased prediction
and crop growth model–whole genome prediction for one replication. Model selection was …

… Genomic-enabled prediction is becoming increasingly important in animal and plant …
Deriving accurate predictions of complex traits requires implementing whole-genome regression (…

… to be powerful for predicting genomic merit of livestock and … increasingly advocated for
genomic predictions in human health… increased cross-validation prediction accuracies by up to 3.6…

… Data that are collected for whole-genome prediction can also be used for genome-wide …
-regression methods that are used for whole-genome prediction can be adapted for GWAS. It is …

… marker effects across the whole genome on the target population based on a prediction
model developed in the training population (TP). Whole-genome prediction models estimate all …

… Genomic prediction from whole-genome sequence data is attractive, as the accuracy of
genomic prediction is … Finally, we investigated the accuracy of genomic predictions that could be …

… Genomic prediction from whole genome sequence in livestock: the 1000 bull genomes
project. In: Proceedings of the 10th world congress on genetics applied to livestock production: 17…

… Our objective was to investigate the reliability of genomic prediction based on imputed
whole-genome sequence genotypes versus high-density SNP genotypes using real cattle data. …