Abstract
Computational requirements for single step genomic evaluation fitting a hybrid between breeding value and marker effects models are examined for a simulated example. It is demonstrated that such a model can accommodate large numbers of genotyped animals - readily allowing exploitation of large in-core memory and parallel processing capabilities available with modern hardware - and that a principal component parameterization for multivariate analyses of numerous traits is advantageous.
| Original language | English |
|---|---|
| Pages (from-to) | 429-432 |
| Journal | Proceedings of the Association for the Advancement of Animal Breeding and Genetics |
| Volume | 22 |
| Publication status | Published - 31 Dec 2017 |
| Event | AAABG 2017: 22nd Conference of the Association for the Advancement of Animal Breeding and Genetics - Townsville, Australia Duration: 2 Jul 2017 → 5 Jul 2017 |
Keywords
- Animal Breeding
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