Livestock Genetic Evaluation and Selection
A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal Genetics and Genomics".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 1155
Special Issue Editors
Interests: genetic improvement of animal health and production; dairy cattle management and genetic evaluations; population structure and adaptation; genomic tool development; wildlife and indigenous population conservation; canine genetics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Livestock genetic evaluation and genomic selection have transformed animal agriculture by enhancing productivity, health, and environmental resilience. The availability of low-cost genomic technologies combined with advances in genomic selection methods have accelerated genetic improvement, enabling the precise identification of animals with desired traits such as higher milk yield, disease resistance, and feed efficiency, allowing breeders to make informed and accurate selection decisions. Genomics also enables genetic evaluation for novel traits such as feed efficiency, hoof health, methane emission, and heat tolerance when only limited phenotypes are available. The integration of multi omics data in genomic prediction, and the use of novel statistical methods such as machine learning and deep learning, could improve genomic prediction accuracy. There is also an increasing need for genomic evaluation for novel phenotypes such as methane emissions, environmental adaptation, and resilience.
The aim of this Special Issue is to highlight advances in genomic evaluation and selection for novel phenotypes, use of new statistical methods, integration of muti-omics for genomic prediction, and improvements in evaluations and selection in crossbred cattle in underdeveloped countries. These topics fall within the scope of the journal as they deal with breeding and genetic selection and use of genomics.
Reviews and research papers in the areas listed below are welcome.
- Development and optimization of genomic selection methods for production, health, and resilience traits.
- Development and optimization of genomic selection for crossbred and indigenous cattle.
- Improvements in genetic evaluation and selection in underdeveloped countries.
- Use of advanced statistical approaches, including machine learning, to enhance prediction accuracy.
- Integration of genomics, transcriptomics, proteomics, and metabolomics to identify biomarkers and improve selection.
- Genetic evaluation of heat tolerance, disease resistance, and adaptation to climate change.
- Traits related to environmental sustainability, such as methane emissions and feed efficiency.
- Identification and genomic evaluation of emerging phenotypes, such as behavior, welfare traits, and reproductive efficiency.
Dr. Heather Huson
Dr. Srikanth Krishnamoorthy
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. 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 selection
- gEBV
- genetic evaluations
- gBLUP
- machine learning
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