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Core-dependent changes in genomic predictions using the Algorithm for Proven and Young in single-step genomic best linear unbiased prediction.

Journal of animal science - 1 Dec 2020

Misztal Ignacy, Tsuruta Shogo, Pocrnic Ivan, Lourenco Daniela

Abstract excerpt

Single-step genomic best linear unbiased prediction with the Algorithm for Proven and Young (APY) is a popular method for large-scale genomic evaluations. With the APY algorithm, animals are designated as core or noncore, and the computing resources to create the inverse of the genomic relationship matrix (GRM) are reduced by inverting only a portion of that matrix for core animals. However, using different core...

Topics

Algorithms
Animals
Cattle
Genome
Genomics
Genotype
Models, Genetic
Pedigree
Phenotype
Swine

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 33211798
DOI: 10.1093/jas/skaa374
PMCID: PMC7739885

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