Cargando…
Prediction of genomic breeding values using new computing strategies for the implementation of MixP
MixP is an implementation that uses the Pareto principle to perform genomic prediction. This study was designed to develop two new computing strategies: one strategy for nonMCMC-based MixP (FMixP), and the other one for MCMC-based MixP (MMixP). The difference is that MMixP can estimate variances of...
Autores principales: | Dong, Linsong, Fang, Ming, Wang, Zhiyong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722830/ https://www.ncbi.nlm.nih.gov/pubmed/29222415 http://dx.doi.org/10.1038/s41598-017-17366-2 |
Ejemplares similares
-
Comparative analysis of the GBLUP, emBayesB, and GWAS algorithms to predict genetic values in large yellow croaker (Larimichthys crocea)
por: Dong, Linsong, et al.
Publicado: (2016) -
Reducing dimensionality for prediction of genome-wide breeding values
por: Solberg, Trygve R, et al.
Publicado: (2009) -
Prediction of the reliability of genomic breeding values for crossbred performance
por: Vandenplas, Jérémie, et al.
Publicado: (2017) -
Right-hand-side updating for fast computing of genomic breeding values
por: Calus, Mario PL
Publicado: (2014) -
Implementation of Genomic Prediction in Lolium perenne (L.) Breeding Populations
por: Grinberg, Nastasiya F., et al.
Publicado: (2016)