… A cross-prediction scenario was tested between and within populations and traits, using
the RKHS model described above. Unlike the single-trait assessment of genomic prediction, …

… of Big Genomic Data will enable unprecedented improvements in complex-trait prediction; …
and discuss challenges and opportunities that Big Data will bring to complex-trait prediction. …

… ST-CV1: single-trait prediction cross-validation 1 where a trait is predicted at a time; we used
60% of individuals as the training population (phenotyped and genotyped, green) and 40% …

… Genome-wide evaluation combines statistical methods with genomic data to predict genetic
values for complex traits. … aid our understanding of quantitative trait genetic architecture. …

… for within-population genomic predictions in the presence of few quantitative trait loci (QTL) …
prediction when the same QTL underlie traits in both populations. The accuracy of prediction …

… , a number of recent genomic prediction studies from animal … standard in GWAS 10 , genomic
prediction studies in admixed … for all traits was marginally lower when predicting within the …

… of genomic prediction in plant and animal breeding, as well as human genetics. However, the
statistical foundation of multi-trait genomic prediction is … than a handful of traits. We present …

… Whole-genome prediction models estimate all marker effects in all loci and capture small …
Here, we review several genomic selection (GS) models with respect to both the prediction …

… more about the genetic architecture of traits, the genetic value … genomic prediction and
provide an overview of the methodology. We highlight opportunities to apply genomic prediction …

… -trait–based GS models to enhance prediction accuracy by using information from previously
phenotyped traits. … multi-trait–based GS models to predict seven end-use quality traits in soft …