Unknown‐parent groups in single‐step genomic evaluation
In single‐step genomic evaluation using best linear unbiased prediction (ss GBLUP),
genomic predictions are calculated with a relationship matrix that combines pedigree and …
genomic predictions are calculated with a relationship matrix that combines pedigree and …
[HTML][HTML] Experiences with a single-step genome evaluation
Genomic selection can be implemented based on the genomic relationship matrix (GBLUP)
and can be combined with phenotypes from nongenotyped animals through the use of best …
and can be combined with phenotypes from nongenotyped animals through the use of best …
[HTML][HTML] Invited review: Unknown-parent groups and metafounders in single-step genomic BLUP
Single-step genomic BLUP (ssGBLUP) is a method for genomic prediction that integrates
matrices of pedigree (A) and genomic (G) relationships into a single unified additive …
matrices of pedigree (A) and genomic (G) relationships into a single unified additive …
Comparison of models for missing pedigree in single-step genomic prediction
Pedigree information is often missing for some animals in a breeding program. Unknown-
parent groups (UPGs) are assigned to the missing parents to avoid biased genetic …
parent groups (UPGs) are assigned to the missing parents to avoid biased genetic …
Single-step genomic BLUP with many metafounders
Single-step genomic BLUP (ssGBLUP) model for routine genomic prediction of breeding
values is developed intensively for many dairy cattle populations. Compatibility between the …
values is developed intensively for many dairy cattle populations. Compatibility between the …
[HTML][HTML] Methods to approximate reliabilities in single-step genomic evaluation
Reliability of predictions from single-step genomic BLUP (ssGBLUP) can be calculated by
matrix inversion, but that is not feasible for large data sets. Two methods of approximating …
matrix inversion, but that is not feasible for large data sets. Two methods of approximating …
Effect of selection and selective genotyping for creation of reference on bias and accuracy of genomic prediction
Reference populations for genomic selection usually involve selected individuals, which
may result in biased prediction of estimated genomic breeding values (GEBV). In a …
may result in biased prediction of estimated genomic breeding values (GEBV). In a …
Solving efficiently large single‐step genomic best linear unbiased prediction models
I Strandén, K Matilainen, GP Aamand… - Journal of Animal …, 2017 - Wiley Online Library
Single‐step genomic BLUP (ssGBLUP) requires a dense matrix of the size equal to the
number of genotyped animals in the coefficient matrix of mixed model equations (MME) …
number of genotyped animals in the coefficient matrix of mixed model equations (MME) …
The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock …
Background The theory of genomic selection is based on the prediction of the effects of
genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic …
genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic …
[HTML][HTML] Invited review: efficient computation strategies in genomic selection
The purpose of this study is review and evaluation of computing methods used in genomic
selection for animal breeding. Commonly used models include SNP BLUP with extensions …
selection for animal breeding. Commonly used models include SNP BLUP with extensions …