(A)cross-breed Genomic Prediction

Research output: Contribution to conferenceConference paper


Genomic prediction holds the promise to use information of other populations to improve prediction accuracy. Thus far, empirical evaluations showed limited benefit of multi-breed compared to single reed genomic prediction. We compared prediction accuracy of different models based on two losely related and one unrelated line of layer chickens. Multi-breed genomic prediction may be successful when lines are closely related, and when the number of training animals of the additional line is large compared to the line itself. Multi-breed genomic prediction requires models that are lexible enough to use beneficial and ignore detrimental sources of information in the training data. Combining linear and non-linear models may lead to small increases in accuracy of multibreed genomic prediction. Multitrait models, modelling a separate trait for each breed, appear especially beneficial when elationships between breeds are very low, or when the genetic correlation between breeds is negative.
Original languageEnglish
Publication statusPublished - 2014
Event10th WCGALP, Vancouver, Canada -
Duration: 17 Aug 201422 Aug 2014


Conference10th WCGALP, Vancouver, Canada


Cite this

Calus, M. P. L., Huang, H., Wientjes, Y. C. J., ten Napel, J., Bastiaansen, J. W. M., Price, M. D., ... Windig, J. J. (2014). (A)cross-breed Genomic Prediction. 1-6. Paper presented at 10th WCGALP, Vancouver, Canada, .