… In single-step analyses, missing genotypes are explicitly or implicitly imputed, and this …
Centering did not influence accuracy of genomic prediction, but fitting μ g did. Accuracies were …

… models and different region sizes (one SNP, 100 SNPs, one chromosome or whole genome).
… genomic prediction using multi-trait single-step SNPBLUP, in routine genomic evaluations. …

… (2017) used single-step models to predict the survival time in crossbred populations. In this
… increase of accuracy of genomic prediction for economic traits by single-step methods in a …

… to deliver more accurate and less biased genomic evaluations. The aim of this … genomic
predictions for various traits in Canadian Holstein cattle using ssGBLUP and multi-step genomic …

… Our single-step SNP model allowed flexible modeling … single-step SNP model included a
residual polygenic effect with trait-specific variance for reducing inflation in genomic prediction. …

… compared different single-step methods with a remaining polygenic effect included in the
model (Liu et al., 2016). The objective of this study was to compare genomic predictions using …

… procedure to became the standard tool for genomic evaluation. In dairy cattle, genomic
prediction … However, single-step genomic predictions reduce the bias of the estimator up to 37%. …

… multi-step methods. This study investigated the efficiency of genomic prediction for seven
body measurement traits in Yorkshire population and simulated data using single-step method. …

… Single-step genomic best linear unbiased prediction (ssGBLUP) models allow the combination
of genomic, pedigree, and phenotypic data into a single model, which is computationally …

… of genomic prediction for carcass and meat quality traits in Nelore cattle, using single- and
… Animals were genotyped with a low-density single nucleotide polymorphism (SNP) panel …