Artificial Intelligence (AI) Techniques for Genome-to-Phenome Applications in Livestock Species
A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal Genetics and Genomics".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 32
Special Issue Editor
Interests: animal breeding; animal behavior; computer vision; digital phenotyping; deep learning; genomics; precision livestock farming; quantitative genetics; statistical learning
Special Issue Information
Dear Colleagues,
The integration of artificial intelligence (AI) techniques into animal breeding and genetics holds immense potential to enhance biological understanding, improve prediction accuracy, and optimize the selection of complex traits in livestock species. AI algorithms are particularly powerful in uncovering intricate, non-linear interactions among multi-dimensional biological datasets (e.g., SNPs, metabolites, microbiome profiles, and transcriptomics) and phenotypic expressions. Moreover, with the rapid evolution of sensor technologies in livestock systems, AI has become an indispensable tool for extracting valuable insights from novel and hard-to-measure indicators obtained from images, videos, sound recordings, accelerometers, and other sensor platforms.
This Special Issue invites high-quality original research articles, reviews, and commentaries highlighting innovative AI applications across the genome-to-phenome spectrum. Topics of interest include but are not limited to genomic selection, phenotype prediction, trait discovery, marker association studies, high-throughput phenotyping, and multi-omics data integration. We particularly welcome submissions focused on traits of economic, biological, or social significance to livestock production systems.
Dr. Anderson A. C. Alves
Guest Editor
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Animals is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- animal health and welfare
- artificial intelligence
- breeding and genetics
- computer vision
- deep learning
- digital phenotyping
- genomics
- multi-omics
- sensor-based traits
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