Article
Cost-effective genomic prediction for fertility traits: a comparison of machine learning and conventional models using low-coverage sequencing in Holstein heifers.
Animal : an international journal of animal bioscience - 1 Jun 2026
Zhang Z B, Wang A, Wang Q Y, Gao S Q, Wang L L, Hu H H, Nanaei H A, Shah A M, Liu G L, Zhu K, Lv X Z, Li R, Jiang Y
Abstract excerpt
Fertility is one of the major factors affecting the efficiency of dairy herds, and genomic selection on milk yield, while ignoring fertility, has resulted in a decline in heifer fertility. Considering the cost of breeding, it is important to enhance the accuracy of genomic selection with a cost-effective way for fertility traits. This study investigates the genomic prediction (GP) of fertility traits in Holstein...
Topics
- Animals
- Cattle
- Female
- Breeding
- Cost-Benefit Analysis
- Fertility
- Genomics
- Genotype
- Machine Learning
- Phenotype
- Polymorphism, Single Nucleotide