The impact of training on data from genetically-related lines on the accuracy of genomic predictions for feed efficiency traits in pigs
Abstract Background Most genomic predictions use a unique population that is split into a training and a validation set. However, genomic prediction using genetically heterogeneous training sets could provide more flexibility when constructing the training sets in small populations. The aim of our s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | deu |
| Published: |
BMC
2020-10-01
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| Series: | Genetics Selection Evolution |
| Online Access: | http://link.springer.com/article/10.1186/s12711-020-00576-0 |