Advances in Tea Tree Genetics and Breeding
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Plant Sciences".
Deadline for manuscript submissions: closed (28 March 2024) | Viewed by 11406
Special Issue Editors
Interests: breeding technology development and exploration of secondary mechanism in tea plants
Special Issues, Collections and Topics in MDPI journals
Interests: screening and utilization of elite tea germplasm; gene identification for tea quality; breeding of tea plant (Camellia sinensis)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the publication of high-quality reference sequences of tea plants and re-sequencing data from different tea accessions, advances in tea plant research have been developed, from secondary metabolism to genetic mechanism exploration, the identification of certain bioactive compounds, and novel genes related to key traits, all of which have largely extended our understanding of tea genetics and breeding. Among them, phenotypic changes including flavonoids, amino acids, caffeine, appearance, and responses to environmental factors in special tea varieties have attracted the attention of both customers and scientists. These changing phenotypes are closely associated with key genes which are largely unknown. Exploring these genes and understanding their underlying mechanisms will improve tea breeding in the future.
This Special Issue of “International Journal of Molecular Sciences” will highlight the exploration of new genes and their potential molecular mechanisms, such as changes in tea quality, fertility, and agronomy traits, as well as stress responses. Research papers related to tea propagation and new technologies in tea breeding, in addition to relative review papers, are welcome.
Prof. Dr. Kang Wei
Prof. Dr. Mingzhe Yao
Guest Editors
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Keywords
- tea plant (Camellia sinensis)
- molecular mechanism
- secondary metabolites
- stress response
- quality-related component
- genes identification
- QTL mapping
- molecular functional markers
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