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REVIEW PAPER
Recent trends in genomic selection for livestock
1
University of Bristol, School of Cellular and Molecular Medicine, Biomedical Sciences Building, University Walk, Bristol BS8 1TD, United Kingdom
2
Chung-Ang University, Department of Animal Science and Technology, Anseong, 17546, Republic of Korea
Publication date: 2026-04-20
Corresponding author
S. H. Moon
Chung-Ang University, Department of Animal Science and Technology, Anseong, 17546, Republic of Korea
Chung-Ang University, Department of Animal Science and Technology, Anseong, 17546, Republic of Korea
KEYWORDS
TOPICS
ABSTRACT
Abstract. Genomic selection (GS) has emerged as a transformative tool in livestock breeding, enabling the accurate and efficient improvement of genetic traits. This review provides a comprehensive overview of the recent advancements in GS technologies, focusing on key innovations such as high-density single nucleotide polymorphism arrays, whole genome sequencing, and advanced imputation methods. Our review examines how GS is being applied across major livestock species, including cattle, swine, and poultry. These applications enhance productivity traits, while simultaneously improving disease resistance and environmental adaptability. This review highlights the integration of multi-omics data, spanning from genomics to microbiomics. Additionally, we emphasize the growing role of artificial intelligence in refining genetic evaluation models. The development of new trends holds promise for accelerating genetic improvements and broadening the range of traits that can be enhanced. The implementation of GS brings about hurdles such as requiring enhanced multi-omics data integration and improved genomic prediction models, while resolving ethical issues related to advanced breeding technologies, including genome editing. GS is poised to be an essential element for achieving sustainable livestock production. Improving the efficiency and climate resilience it will contribute to global food security and support long-term sustainability of animal agriculture.
FUNDING
This research was supported by the 2024 Chung-Ang University Research Grant, the Korean Fund for Regenerative Medicine (KFRM) grant funded the Ministry of Science and ICT, the Ministry of Health & Welfare (25A0203L1) and the Bio&Medical Technology Development Program of the National Research Foundation (NRF) (RS-2023-00220207) of the Korea Grant-Funded (MSIT, Republic of Korea).
CONFLICT OF INTEREST
The Authors declare that there is no conflict of interest.
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| ISSN: | 1230-1388 |
Assigning DOI numbers, introducing articles from supplements and recent publications to POL-index database, maintaining anti-plagiarism detection, electronic system to proceed manuscripts and webpage of the Journal with interactive pdf files, and language correction of manuscripts published in Journal of Animal and Feed Sciences are financed in the years 2018–2019 by the Ministry of Science and Higher Education from the funds for science popularization activities, Agreement No. 631/P-DUN/2018.
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