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

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 appr...

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Detalles Bibliográficos
Autores principales: Bermann, Matias, Lourenco, Daniela, Misztal, Ignacy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Animal Genetics and Genomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827023/
https://www.ncbi.nlm.nih.gov/pubmed/34877603
http://dx.doi.org/10.1093/jas/skab353

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827023/
https://www.ncbi.nlm.nih.gov/pubmed/34877603
http://dx.doi.org/10.1093/jas/skab353

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