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.

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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
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article

Comparative Accuracy of Machine Learning and GBLUP for Predicting Genomic Estimated Breeding Values in Chickens

Haoxiang Chai, Haigang Bao, Xiao Hui Zhang, Yuqi Yang et al.
Genes
Animal Nutrition and Physiology
article

Comparative Accuracy of Machine Learning and GBLUP for Predicting Genomic Estimated Breeding Values in Chickens

Haoxiang Chai, Haigang Bao, Xiao Hui Zhang, Yuqi Yang, Chao Ning, Hui Tang, Wenwen Wang, Qin Zhang, Dan Wang
article en

Abstract

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.

GenesVol. 17(3)
China Agricultural University (CN), Shandong Agricultural University (CN)
Openalex Percentile: Top 23%
Animal Nutrition and Physiology
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