The main research areas of the team:
- Methods and models to increase accuracy and reduce bias of genomic prediction in cattle
- Optimal use of various sources of information for genomic prediction (such as different types of marker data, sequence data, bioinformatics information, and information of correlated traits)
- Genotype by environment interaction
- Non-additive genetic effects
- Tools of genomic prediction to be efficiently implemented in practical cattle breeding
Current projects of the team:
- Improving genomic prediction using optimal multi-trait models (MultiGenomics)
- Robust and efficient dairy cows (Reffico)
- Genomics in herd
- Center for genomic selection in plants and animals (GenSap)
