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

Genes - 12 Mar 2026

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

Abstract excerpt

BACKGROUND: Machine learning (ML) holds great promise for genomic breeding value prediction in livestock and poultry, yet its application in layer breeding remains limited. METHODS: In this study, we used whole-genome resequencing data from 834 Wenshui Luhua Green-Shelled (WLGS) laying hens to predict genomic breeding values for eight egg production and egg quality traits using multilayer perceptron (MLP), random...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41898849
DOI: 10.3390/genes17030315
PMCID: PMC13026392

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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