Genetics and Breeding for Enhancing Production Traits in Ruminants
A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal Genetics and Genomics".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 26
Special Issue Editor
Interests: genomic selection; genetic diversity; quantitative trait loci (QTL); whole-genome sequencing; candidate genes for production traits; genome-wide selection signals
Special Issue Information
Dear Colleagues,
Understanding the genetic architecture underlying economically important traits is essential for advancing ruminant breeding and sustainable livestock production. With the growing availability of high-throughput sequencing technologies, genome-wide analyses have enabled the identification of selection signals, functional variants, and key genes associated with traits such as growth, reproduction, disease resistance, and environmental adaptation. This research topic, ‘Genetics and Breeding for Enhancing Production Traits in Ruminants’, aims to highlight recent advances in genetic diversity assessment, population structure analysis, and the discovery of functional genes in both indigenous and commercial breeds. We welcome contributions that explore genome-wide selection signatures, functional genomics, and molecular breeding strategies, with a focus on enhancing genetic improvement and preserving valuable genetic resources in ruminants.
We warmly encourage you to submit your original research to this Special Issue. Please note that only experimental studies and data-driven analyses will be considered; review articles and commentaries will not be accepted. The Issue aims to include a total of 10 manuscripts and will close to submissions once this quota is reached. The Special Issue may be printed in book form if this number is reached.
In this Special Issue, original research articles and communication are welcome. Research areas may include (but are not limited to) the following:
- Analysis of genetic diversity and phylogenetic relationships in domesticated animals;
- Identification of key genes associated with important economic traits, phenotypes, adaptability, and disease resistance using multi-omics approaches and whole-genome sequencing technologies;
- In-depth investigation of the functional mechanisms of candidate genes;
- Meta-analysis based on large-scale farm datasets;
- Development of theoretical frameworks or computational tools for genomic data analysis and application.
- Gene editing and stem cell breeding technologies: development and application
We look forward to receiving your contributions.
Prof. Dr. Guangxin E
Guest Editor
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 100 words) can be sent to the Editorial Office for announcement on this website.
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 selection
- genetic diversity
- quantitative trait loci (QTL)
- whole-genome sequencing
- candidate genes for production traits
- genome-wide selection signals
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