A deep learning strategy for accurate identification of purebred and hybrid pigs across SNP chips
Our new MLP strategy demonstrated its high accuracy and robust applicability across low-, medium-, and high-density SNP chips. Multi-output regression framework could universally enhance prediction accuracy for ML methods. Our new strategy is also helpful for breed identification in other livestock.
Authors
- Yilin He
- Changsong Qian
- Zhengwen Fang
- Jianan Zhang (ORCID: https://orcid.org/0000-0001-5820-547X)
- Ning Zhang (ORCID: https://orcid.org/0000-0002-8096-4082)
- Zipeng Zhang (ORCID: https://orcid.org/0000-0003-4529-8704)
- Xiangdong Ding
- Yifei Du (ORCID: https://orcid.org/0000-0002-2262-5808)
- Weijian Ye
Institutions
- Henan Institute of Education (CN)
- HBIS (China) (CN)
- Ministry of Agriculture (ID)
- Ministry of Agriculture and Rural Affairs (CN)
Publication Details
- Journal
- Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology
- Published
- 2025-08-14
- DOI
- https://doi.org/10.1186/s40104-025-01249-y
- Citations
- 2
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 3.63