Postharvest performance of cut ‘White Prosperity’ gladiolus spikes in response to nano- and other silver sources
Bibliographic record
Abstract
A study was conducted to compare the efficacy of nano-silver (NS), silver thiosulfate (STS), and silver nitrate as novel postharvest treatments, and evaluate the potential of nano-silver pulse (higher concentration) or vase (lower concentration) applications on postharvest performance of cut gladiolus (Gladiolus hybrids ‘White Prosperity’) spikes. Among silver compounds, spikes kept in silver nitrate had longest vase life. Spikes placed in STS at 10 or 20 mg L−1 had longer vase life than stems placed in NS, but similar to the stems placed in water. For NS pulse applications, spikes pulsed with 50 mg L−1 NS for 1 h at 20 ± 2 °C had 2.2 d longer vase life compared to the spikes in water. Pulsing of spikes for 1 h extended the vase life of cut gladiolus compared with 4 or 8 h pulsing durations. Spikes kept continuously in NS until end of vase life resulted in 4.2 d longer vase life at a lower concentration of 0.01 mg L−1. With increasing NS concentration to 10 mg L−1, vase life decreased to similar vase life as with tap water. The results demonstrated that NS at a 50 mg L−1 pulse for 1 h or 0.01 mg L−1 vase application can be used for extending vase life of cut gladiolus spikes.
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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".