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Article

Efficient approximation of reliabilities for single-step genomic best linear unbiased predictor models with the Algorithm for Proven and Young.

Journal of animal science - 1 Jan 2022

Bermann Matias, Lourenco Daniela, Misztal Ignacy

Abstract excerpt

The objectives of this study were to develop an efficient algorithm for calculating prediction error variances (PEVs) for genomic best linear unbiased prediction (GBLUP) models using the Algorithm for Proven and Young (APY), extend it to single-step GBLUP (ssGBLUP), and apply this algorithm for approximating the theoretical reliabilities for single- and multiple-trait models in ssGBLUP. The PEV with APY was...

Topics

Algorithms
Animals
Genome
Genomics
Genotype
Models, Genetic
Pedigree
Phenotype
Reproducibility of Results

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 34877603
DOI: 10.1093/jas/skab353
PMCID: PMC8827023

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