Genomic Prediction in Livestock
A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Pigs".
Deadline for manuscript submissions: 15 January 2025 | Viewed by 40
Special Issue Editor
Special Issue Information
Dear Colleagues,
Genomic prediction is the process of using genetic data to predict an individual’s phenotype, which has been implemented in many livestock breeding processes to increase genetic gain and accelerate the breeding process. This Special Issue will focus on papers related to recent progress on genomic prediction, specifically in livestock, including swine, cattle, goat, and sheep. Topics may include new knowledge of genomic prediction of economic traits, applications of multi-omics data and machine learning algorithms in genomic prediction, and novel methods of genomic prediction (such as multi-trait genomic prediction).
In this Special Issue, original research articles and reviews are welcome.
Dr. Yiren Gu
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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 prediction
- livestock
- economic traits
- omics
- multi-trait genomic prediction
- GWAS
