The impact of truncating data on the predictive ability for single-step genomic best linear unbiased prediction.

Howard, Jeremy T; Rathje, Tom A; Bruns, Caitlyn E; Wilson-Wells, Danielle F; Kachman, Stephen D; Spangler, Matthew L

Howard, Jeremy T; Rathje, Tom A; Bruns, Caitlyn E; Wilson-Wells, Danielle F; Kachman, Stephen D; Spangler, Matthew L.

Afiliación

Howard JT; Department of Animal Science, University of Nebraska-Lincoln, Lincoln, Nebraska.
Rathje TA; DNA Genetics, Columbus, Nebraska.
Bruns CE; DNA Genetics, Columbus, Nebraska.
Wilson-Wells DF; DNA Genetics, Columbus, Nebraska.
Kachman SD; Department of Statistics, University of Nebraska-Lincoln, Lincoln, Nebraska.
Spangler ML; Department of Animal Science, University of Nebraska-Lincoln, Lincoln, Nebraska.

J Anim Breed Genet ; 2018 Jun 08.

Article en En | MEDLINE | ID: mdl-29882604

Palabras clave

data reduction; single-step genomic BLUP; swine

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Anim Breed Genet Asunto de la revista: GENETICA / MEDICINA VETERINARIA Año: 2018 Tipo del documento: Article Pais de publicación: Alemania

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