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Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits
BACKGROUND: Accurate genomic prediction requires a large reference population, which is problematic for traits that are expensive to measure. Traits related to milk protein composition are not routinely recorded due to costly procedures and are considered to be controlled by a few quantitative trait...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718071/ https://www.ncbi.nlm.nih.gov/pubmed/29207947 http://dx.doi.org/10.1186/s12711-017-0364-8 |