Genomic predictions for growth and feed efficiency traits in a duck breeding population
This study offers encouraging evidence for utilizing GS to enhance growth and feed efficiency traits in ducks. It offers valuable insights into optimizing GS for duck breeding, emphasizing the critical roles of model selection, marker density refinement, and the strategic integration of prior biological information.
Authors
- Mengdie Wang (ORCID: https://orcid.org/0000-0002-9206-7063)
- Wentao Cai (ORCID: https://orcid.org/0000-0002-5639-1755)
- Qin Yang (ORCID: https://orcid.org/0000-0002-9926-1723)
- Zhengkui Zhou (ORCID: https://orcid.org/0000-0002-5192-2465)
- Shuisheng Hou (ORCID: https://orcid.org/0000-0001-8016-8863)
- Chunchun Han (ORCID: https://orcid.org/0000-0002-8692-767X)
- Li Zhu
- Zhenlin Liu
- Jian Hu (ORCID: https://orcid.org/0009-0006-0873-2507)
Institutions
- Shanxi Agricultural University (CN)
- Shandong Lianxing Energy Group (China) (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Institute of Animal Sciences (CN)
- Northwest A&F University (CN)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1186/s12864-025-12087-7
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chinese Academy of Agricultural Sciences