Snps associated with total sugar content in tobacco and uses thereof
By mining high-contribution SNP markers associated with total sugar content in tobacco and constructing a prediction model using the XGBoost regression model, the problem of screening for total sugar content in tobacco breeding was solved, enabling rapid and accurate prediction and material screening, reducing breeding costs and improving breeding efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA TOBACCO JIANGSU INDAL
- Filing Date
- 2026-06-05
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies make it difficult to quickly and accurately screen and predict the total sugar content of tobacco in the early stages of tobacco breeding. Traditional methods are cumbersome and have poor reproducibility under different genetic backgrounds and environmental conditions. The lack of existing molecular marker systems makes it impossible to effectively guide breeding practices.
By mining high-contribution SNP markers associated with total sugar content in tobacco, a prediction model was constructed using the XGBoost regression model. Significantly contributing SNP sites were screened out, and a kit was developed and a prediction method was provided to achieve rapid prediction of total sugar content in tobacco materials and material screening.
It enables rapid and accurate prediction of total sugar content in tobacco, reduces breeding costs, accelerates the development of new varieties, and improves prediction accuracy and efficiency.
Smart Images
Figure CN122405883A_ABST