Genetics and Breeding of Ruminant

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Farm Animal Production".

Deadline for manuscript submissions: closed (5 July 2023) | Viewed by 271

Special Issue Editors


E-Mail Website
Guest Editor
Institute of Agricultural Biology and Biotechnology, National Research Council, Via Edoardo Bassini 15, 20133 Milan, MI, Italy
Interests: genetics; genomics; breeding; ruminants; machine learning

E-Mail Website
Guest Editor
Department of Veterinary Medicine and Animal Sciences, University of Milan, Via Dell'Università 6, 26900 Lodi, LO, Italy
Interests: animal genetics; genomics; breeding; diversity; conservation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, Ozzano dell'Emilia, BO, Italy
Interests: genetics; genomics; breeding; ruminants; phenotypes; mid-infrared spectroscopy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Animal breeding exploits natural genetic variation between individuals to increase traits of economic value, such as productivity. At the beginning of this century, breeding programs mostly relied on marker-assisted selection in young males based on some genetic markers and pedigree information. This strategy overcame the limitation of traditional progeny test programs, which required years for the first data on the sire’s daughters to be available. Then, thanks to the introduction of high-density SNP chips and the progressive decrease in genotyping costs, the number of genotyped individuals started to increase, providing new data for computing genomic evaluations. The implementation of genomic selection in the breeding programs of many countries had introduced significant advances in the selection of ruminants, increasing rates of genetic gain. This revolution has led to the need for storing an extensive amount of genomic data, as well as the development of sophisticated tools of analysis. However, further knowledge needs to be acquired about the genetic architecture of quantitative variation. In addition, a future challenge will be inclusion in the selection goals of novel traits for improving health, reproduction, longevity and sustainability of production. The broad scientific interest into the breeding of ruminant species prompted us to open a Special Issue on this topic, which will cover all aspects of ruminants’ genetics and genomics, including studies on genetics of complex and/or novel traits, genomic technologies, and statistical approaches for genomic data analysis (e.g., machine learning).

Dr. Tania Bobbo
Dr. Giulietta Minozzi
Dr. Giulio Visentin
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 monthly 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

  • ruminants
  • genetics
  • genomic technologies
  • high-throughput phenotypes
  • molecular markers
  • breeding
  • diversity
  • machine learning

Published Papers

There is no accepted submissions to this special issue at this moment.
Back to TopTop