Cargando…
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...
Autores principales: | Misztal, Ignacy, Tsuruta, Shogo, Pocrnic, Ivan, Lourenco, Daniela |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
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 |
Ejemplares similares
-
Efficient approximation of reliabilities for single-step genomic best linear unbiased predictor models with the Algorithm for Proven and Young
por: Bermann, Matias, et al.
Publicado: (2021) -
Detecting effective starting point of genomic selection by divergent trends from best linear unbiased prediction and single-step genomic best linear unbiased prediction in pigs, beef cattle, and broilers
por: Abdollahi-Arpanahi, Rostam, et al.
Publicado: (2021) -
Crossbred evaluations using single-step genomic BLUP and algorithm for proven and young with different sources of data
por: Pocrnic, Ivan, et al.
Publicado: (2019) -
Indirect predictions with a large number of genotyped animals using the algorithm for proven and young
por: Garcia, Andre L S, et al.
Publicado: (2020) -
Derivation of indirect predictions using genomic recursions across generations in a broiler population
por: Hidalgo, Jorge, et al.
Publicado: (2023)