Incorporating information of causal variants in genomic prediction using GBLUP or machine learning models in a simulated livestock population

Incorporating information of causal variants in genomic prediction using GBLUP or machine learning models in a simulated livestock population

Abstract Background Genomic prediction has revolutionized animal breeding, with GBLUP being the most widely used prediction model. In theory, the accuracy of genomic prediction could be improved by incorporating information from QTL. This strategy could be especially beneficial for machine learning...

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Bibliographic Details
Main Authors: Jifan Yang, Mario P. L. Calus, Yvonne C. J. Wientjes, Theo H. E. Meuwissen, Pascal Duenk
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Journal of Animal Science and Biotechnology
Subjects:
GBLUP
Genomic prediction
Machine learning
QTL
Random forest
Support vector regression
Online Access:https://doi.org/10.1186/s40104-025-01250-5
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