Method for rapidly identifying and comprehensively evaluating polygonatum cyrtonema provenance based on multi-character principal component analysis
By using principal component analysis of multiple traits, combined with growth, physiological and medicinal traits, a weighted comprehensive score (CES) was calculated, which solved the problem of inconsistent quality of Polygonatum multiflorum germplasm and enabled rapid and scientific germplasm screening and breeding guidance.
Patent Information
- Application Number
- CN202511495070.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-20
- Publication Date
- 2026-02-03
AI Technical Summary
Existing technologies cannot effectively solve the problem of inconsistent quality caused by mixed seed sources of Polygonatum multiflorum. Traditional experience-based identification methods are highly subjective, and single chemical index evaluation methods cannot fully reflect the comprehensive medicinal value of seed sources. Modern analytical techniques require large investments in equipment and are complex to operate, while molecular marker technology cannot directly reflect the quality of medicinal materials.
By employing multi-trait principal component analysis, the growth traits, physiological and biochemical traits, and medicinal component traits of plants were measured. After Z-score standardization, the principal component analysis model was used to reduce dimensionality and calculate the weighted comprehensive score (CES), thus achieving an objective and rapid evaluation of the seed source.
This enables a comprehensive and objective evaluation of Polygonatum multiflorum germplasm, shortens the screening cycle, reduces identification costs, provides scientific breeding guidance, and improves the overall quality of germplasm.