Thrips‐induced damage of chrysanthemum inflorescences: evidence for enhanced leakage of carotenoid pigments
Bibliographic record
Abstract
Abstract The present study quantifies the leakage of carotenoid pigments in senescing inflorescences of chrysanthemum, Dendranthema grandiflora Tzelev (Asteraceae), infested or not with western flower thrips, Frankliniella occidentalis Pergande (Thysanoptera: Thripidae). The extractability of pigments was evaluated at repeated intervals by measuring the absorbance of immersion and crude extracts of inflorescences, using 447 nm as a diagnostic wavelength (absorption peak of lutein, a predominant carotenoid pigment in chrysanthemum with yellow inflorescences). The absorbance of immersion extracts increased over time and was higher for inflorescences infested with thrips than control inflorescences; the opposite trends were observed for crude extracts of inflorescences. These results suggest that both natural and thrips‐induced senescence of chrysanthemum inflorescences are characterized by enhanced extractability of pigments in organic solvents, most likely resulting from a disruption of cellular membranes. Thin layer chromatography analysis confirmed the presence of lutein in immersion extracts of thrips‐infested inflorescences, providing further support to the hypothesis that the mechanical damage caused by thrips is linked with a leakage of cellular content. An enhanced extractability of pigments in organic solvents may be a widespread phenomenon characterizing floral senescence in non‐climacteric plants.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".