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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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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2004
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2697210/ https://ncbi.nlm.nih.gov/pubmed/15231231 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1297-9686-36-4-395 |
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