Comparative Accuracy of Machine Learning and GBLUP for Predicting Genomic Estimated Breeding Values in Chickens
In summary, the GBLUP model is suitable for traits with high heritability and low-density marker scenarios, while the RF model demonstrates significant predictive advantages for egg production and specific egg quality traits under high-density conditions. This study provides scientific basis for model selection in the genomic selection program for laying hens.
Authors
- Haoxiang Chai
- Haigang Bao (ORCID: https://orcid.org/0000-0003-4591-3957)
- Xiao Hui Zhang (ORCID: https://orcid.org/0000-0002-8778-595X)
- Yuqi Yang (ORCID: https://orcid.org/0009-0009-8802-2426)
- Chao Ning
- Hui Tang
- Wenwen Wang
- Qin Zhang
- Dan Wang
Institutions
- China Agricultural University (CN)
- Shandong Agricultural University (CN)
Publication Details
- Journal
- Genes
- Published
- 2026-03-12
- DOI
- https://doi.org/10.3390/genes17030315
- Primary Topic
- Animal Nutrition and Physiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00