Metabolic Fingerprinting of Citrus Cultivars and Related Genera Using HPLC and Multivariate Analysis
Bibliographic record
Abstract
Citrus taxonomy is very complex and confusing, because of asexual reproduction and sexual compatibility between Citrus and related genera. Metabolic diversity was studied in Citrus, Poncirus and Fortunella cultivars by the high performance liquid chromatography technique combined with multivariate statistical analysis. Chromatograms obtained from cultivars of the same species showed similar elution profiles. These results suggested that metabolic profiles carry characteristics of hybrid origin. To confirm the similarities among the Citrus species and their cultivars, multivariate statistical analysis was applied to the chromatograms. According to hierarchical cluster analysis, all cultivars used in this study were divided into three major groups, which largely correspond to pummelo, mandarin and lemon. Hybrids were clustered together with their hybrid origin or their related cultivars. Our results indicated that the metabolic fingerprinting method provides an insight into the phylogenic relationships among Citrus species and cultivars.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".