Cargando…
Reducing computational cost of large-scale genomic evaluation by using indirect genomic prediction
Over half a million Holsteins are being genotyped annually in the United States. The computational cost of including all genotypes in single-step genomic (ssG)BLUP is high, although it is feasible to conduct large-scale genomic prediction using an efficient algorithm such as APY (algorithm for prove...
Autores principales: | Tsuruta, S., Lourenco, D.A.L., Masuda, Y., Lawlor, T.J., Misztal, I. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623783/ https://www.ncbi.nlm.nih.gov/pubmed/36337117 http://dx.doi.org/10.3168/jdsc.2021-0097 |
Ejemplares similares
-
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) -
Core-dependent changes in genomic predictions using the Algorithm for Proven and Young in single-step genomic best linear unbiased prediction
por: Misztal, Ignacy, et al.
Publicado: (2020) -
The importance of historically popular sires on the accuracy of genomic predictions of young animals in the US Holstein population
por: Steyn, Yvette, et al.
Publicado: (2023) -
Metafounders May Reduce Bias in Composite Cattle Genomic Predictions
por: Kluska, Sabrina, et al.
Publicado: (2021)