Advances in Pig Breeding and Genetics (Volume II)
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Animal Genetics and Genomics".
Deadline for manuscript submissions: closed (10 April 2024) | Viewed by 5152
Special Issue Editors
Interests: pig molecular genetics and breeding; genomic selection; functional genomics; meat quality, artificial intelligence linking phenotypes
Special Issues, Collections and Topics in MDPI journals
Interests: pig; meat quality; reproduction traits; non-coding RNA; molecular genetics; genomic selection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Owing to various novel technological applications, the genetic improvement of pigs has rapidly progressed in recent decades. Nowadays, more and more economically relevant traits are being expanded as breeding objectives, such as litter size, birth weight, feed efficiency, lean percentage, meat quality, lifetime reproduction and robustness, among others. In addition, there has been a rapid development of high-throughput genome and cell molecular biology methods, and the processes involved in the identification of genes related to important phenotypic traits and genetic markers for pig selection have been significantly enhanced, leading to the development of fast, cost-effective, and more accurate methods for the implementation of breeding programs. In addition, artificial intelligence is now employed to identify relevant new phenotypes and implement tools to effectively measure traits. For this Special Issue, articles addressing all aspects of pig genetics and phenotypes are welcome, especially with a focus on the quantitative genetics of new phenotypes, the use of artificial intelligence to link phenotypes, genomic selection, breeding programs, gene polymorphisms, quantitative trait loci mapping, the identification of the genetic regulatory mechanisms and causative mutations affecting economically relevant traits, and the exploitation of native pig genetic resources.
Dr. Linyuan Shen
Dr. Mailin Gan
Guest Editors
Manuscript Submission Information
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Keywords
- pig
- transcriptomics
- epigenomics
- genetic mechanism
- genetic parameter
- genomic selection
- artificial intelligence linking phenotypes
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