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

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...

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Detalles Bibliográficos
Autores principales: Misztal, Ignacy, Tsuruta, Shogo, Pocrnic, Ivan, Lourenco, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Animal Genetics and Genomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7739885/
https://www.ncbi.nlm.nih.gov/pubmed/33211798
http://dx.doi.org/10.1093/jas/skaa374

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7739885/
https://www.ncbi.nlm.nih.gov/pubmed/33211798
http://dx.doi.org/10.1093/jas/skaa374

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