Evaluation of Bayesian alphabet and GBLUP based on different marker density for genomic prediction in Alpine Merino Sheep
The marker density, the heritability level of trait and the statistical models adopted are critical to the accuracy of genomic prediction (GP) or selection (GS). If the potential of GP is to be fully utilized to optimize the effect of breeding and selection, in addition to incorporating the above fa...
| Autores principales: | , , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/114635 |
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