Quantitative Genetics of Livestock Populations
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Farm Animal Production".
Deadline for manuscript submissions: 10 October 2025 | Viewed by 728
Special Issue Editors
Interests: multivariate statistics; linear models; estimation of genetic parameters; animal sciences
Special Issues, Collections and Topics in MDPI journals
Interests: farm animals; breeding; small populations; inbreeding; genetics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Quantitative genetic methods investigate the effect of genetic and environmental factors simultaneously, and help improve the efficiency and sustainability of livestock breeding by focusing on traits that are influenced by multiple genes. The aims are to increase the frequency of favourable alleles in the population, which is achieved through animal selection.
Statistical models and breeding values help predict the genetic potential of an animal. By understanding the genetic correlation between different traits, breeders can optimise their selection strategies. Genetic diversity is vital to prevent inbreeding in the population and to a successful breeding plan to obtain healthy and productive animals in the herd or population.
The purpose of this Special Issue is to provide a premier platform for publishing high-quality, peer-reviewed articles that advance the field of quantitative genetics in livestock populations, improving our understanding of quantitative genetics, and implementing scientific findings in practice. We believe that your work, with its novel insights and significant contributions to the field, would be a valuable addition to our publication.
We welcome original research papers that address various aspects of quantitative genetics, including, but not limited to, the following:
- Quantitative genetic approaches to improve productivity and fertility in livestock;
- The estimation of genetic parameters and the prediction of animal breeding values using different tools and information;
- Genetic diversity and inbreeding in animal populations;
- Impact of crossbreeding on quantitative traits in animal populations;
- Design of breeding programmes and key issues in breeding programme design.
You may choose our Joint Special Issue in Animals.
Prof. Dr. Liga Paura
Dr. Rūta Šveistiene
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 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. Agriculture 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 2600 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
- heritability
- variance components
- genetic correlation
- breeding value estimation
- pure breeding and crossbreeding
- inbreeding
- selection response
- animal breeding programmes
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