Integrating Genomic Prediction and Machine Learning for Equidae Breeding
A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Equids".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 13
Special Issue Editors
2. School of Veterinary Medicine, Universidad CES, Medellin, Colombia
Interests: equine theriogenology; oocyte; embryo; vitrification; ICSI
Interests: equine theriogenology; transvaginal oocyte aspiration; in vitro oocyte maturation; fertilization; embryo culture
Special Issue Information
Dear Colleagues,
Recent advances in genomics and computational biology are transforming animal breeding, offering new tools to better understand and predict complex traits. In Equidae, where breeding programs aim to improve performance, health, fertility, and longevity, genomic technologies have opened new possibilities for accelerating genetic progress while maintaining genetic diversity. High-density SNP arrays, whole-genome sequencing, and expanding genomic reference populations are enabling the implementation of genomic prediction models capable of estimating breeding values with increasing accuracy.
At the same time, machine learning and artificial intelligence methods are rapidly emerging as powerful approaches for analyzing large and complex biological datasets. These tools can complement traditional quantitative genetic models by identifying nonlinear relationships, integrating multi-omic data, and improving predictive performance for traits influenced by multiple genetic and environmental factors.
The integration of genomic prediction with machine learning represents a promising frontier for Equidae breeding. Such approaches may enhance selection strategies, support precision breeding, and contribute to more sustainable and data-driven management of equine populations.
This Special Issue aims to gather original research articles, reviews, and methodological studies exploring the application of genomic prediction, machine learning, and advanced computational tools in horses, donkeys, and other equid species. Contributions addressing novel algorithms, genomic resources, phenomic integration, and practical breeding applications are particularly encouraged.
Dr. Daniel Angel-Velez
Dr. Luisa Ramírez-Agámez
Dr. Giovana Catandi
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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
- genomic prediction
- genomic selection
- machine learning
- equine genetics
- horse breeding
- artificial intelli-gence
- quantitative genetics
- equine genomics
- breeding programs
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
