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Hierarchical Spatial Process Models for Multiple Traits in Large Genetic Trials
This article expands upon recent interest in Bayesian hierarchical models in quantitative genetics by developing spatial process models for inference on additive and dominance genetic variance within the context of large spatially referenced trial datasets of multiple traits of interest. Direct appl...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2911798/ https://ncbi.nlm.nih.gov/pubmed/20676229 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/jasa.2009.ap09068 |
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