Special Issue "Genetics, Genomics, Transcriptomics, Proteomics, Health and Product Quality of Small Ruminants"
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 18741
Interests: dairy cattle; dairy goats; quantitative genetics; molecular genetics; genomics; epigenomics
Sheep and goat breeds are important farm animals that are bred worldwide for meat, milk, wool and skins. Moreover, small ruminants are very important in active protection of valuable natural habitats and management wastelands. Modern tools such as genomics, which allows for improving important functional traits, open new perspectives for small ruminant breeding programs. This field of molecular and theoretical biology makes the assessment of the genetic diversity of sheep and goat breeds possible. SNP microarrays are a new generation of molecular genetic tools that have been applied in population biodiversity analysis; studies of sheep and goat diseases, including mastitis, foot rot and internal parasites; and research into lamb/kid survival and ewe/doe longevity. However, the basic studies in genomic, transcriptomic and proteomic areas are still limited for small ruminants as compared to other farm species. Moreover, studying epigenomic phenomena in small ruminants could help to explain part of the genetic–environmental interaction influencing the phenotypes of these species.
We invite original research papers and review articles on genetic, genomic, transcriptomic, proteomic and epigenomic research regarding sheep and goats; the implementation of genomic selection for production of sheep and goats; the identification of functional traits to improve animal welfare; the conservation of genetic diversity; advances in genetics for animal health monitoring; and research on genetic variability of traits related to milking ability of dairy sheep and goats and the composition and cheese making ability of small ruminants’ milk.
Dr. Emilia Bagnicka
Dr. Aldona Kawęcka
Manuscript Submission Information
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- small ruminants
- genetic diversity
- genetic parameters
- product quality