Improving multibreed genomic prediction for breeds with small populations by modeling heterogeneous genetic (co)variance blockwise accounting for linkage disequilibrium

This study presents a novel LD block-based approach for multibreed genomic prediction. Our work provides a practical tool for livestock breeding programs and offers new insights into leveraging genetic diversity across breeds for improved genomic prediction.

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Publication Details

Journal
Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology
Published
2025-12-20
DOI
https://doi.org/10.1186/s40104-025-01303-9
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00

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article

Improving multibreed genomic prediction for breeds with small populations by modeling heterogeneous genetic (co)variance blockwise accounting for linkage disequilibrium

Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology
Genetic and phenotypic traits in livestock
article

Improving multibreed genomic prediction for breeds with small populations by modeling heterogeneous genetic (co)variance blockwise accounting for linkage disequilibrium

article en

Abstract

This study presents a novel LD block-based approach for multibreed genomic prediction. Our work provides a practical tool for livestock breeding programs and offers new insights into leveraging genetic diversity across breeds for improved genomic prediction.

Journal of Animal Science and Biotechnology/Journal of animal science and biotechnologyVol. 16(1)
North Carolina State University (US), Jiangsu Academy of Agricultural Sciences (CN), China Agricultural University (CN)
National Natural Science Foundation of China, China Agricultural University, Earmarked Fund for China Agriculture Research System
Openalex Percentile: Top 57%
Genetic and phenotypic traits in livestock
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