A study on the minimum number of loci required for genetic evaluation using a finite locus model

For a finite locus model, Markov chain Monte Carlo (MCMC) methods can be used to estimate the conditional mean of genotypic values given phenotypes, which is also known as the best predictor (BP). When computationally feasible, this type of genetic prediction provides an elegant solution to the prob...

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Detalles Bibliográficos
Autores principales: Totir, Liviu R, Fernando, Rohan L, Dekkers, Jack CM, Fernández, Soledad A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2697210/
https://www.ncbi.nlm.nih.gov/pubmed/15231231
http://dx.doi.org/10.1186/1297-9686-36-4-395

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2697210/
https://www.ncbi.nlm.nih.gov/pubmed/15231231
http://dx.doi.org/10.1186/1297-9686-36-4-395

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