Sustainable Future: Genetics and Breeding of Indigenous Breeds of Livestock
A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal Genetics and Genomics".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 3756
Special Issue Editor
Interests: animal domestication; livestock genomics; population genomics; admixture; selection; metagenomics
Special Issue Information
Dear Colleagues,
Despite extensive efforts that have been made to protect indigenous breeds of livestock species worldwide, the loss of indigenous livestock breeds around the world remains ongoing, as demonstrated by the UN’s Food and Agriculture Organization. For the sustainable use of these local livestock genetic resources, it is urgently needed to explore and identify their genetic characteristics using cutting-edge methods including high-throughput phenotyping and genotyping technologies.
Unsurprisingly, there are a few successful examples of the sustainable use of indigenous livestock breeds. One way out of such awkward situations is to use indigenous livestock breeds as one parent for developing composite new breeds. This is the case for Yunnan native cattle and goats, which were used to crossbreed with other commercial breeds, and final, new composite breeds were developed: Yunling cattle and Yunshang Black goats. Although further studies are needed to identify and quantify the advantageous combinations of mosaic genomes in such composite breeds, this method highlights one of the most important ways to protect and maintain indigenous livestock breeds.
The aim of this Special Issue is to present recent research and reviews on the sustainable use of indigenous livestock breeds from multi-layered perspectives, with the aim of stimulating interest, understanding, and the exploration of this important subject.
Prof. Dr. Shanyuan Chen
Guest Editor
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Keywords
- indigenous breeds
- native breeds
- livestock
- phenotyping
- genotyping
- breeding
- whole genome sequencing
- RNA-sequencing
- proteomics
- genomic diversity
- genomic architecture