Volatile metabolite profiling to discriminate diseases of McIntosh apple inoculated with fungal pathogens
Bibliographic record
Abstract
Abstract Gas chromatography–mass spectrometry (GC/MS) technology was used to profile volatile metabolites from the headspace gas of McIntosh apple ( Malus domestica Borkh.), which were non‐inoculated or inoculated with four different fungi, Botrytis cinerea Pers, Penicillium expansum Link, Mucor piriformis Fischer and Monilinia sp. The study yielded a total of 498 different volatile metabolites. Among them only 35 occurred relatively consistently in six replicates over three incubation periods. Of the consistent metabolites, 20 were specific to one or more inoculation agents/diseases, including seven that were unique to apples inoculated with different pathogens. Fluoroethene and 3,4‐dimethyl‐1‐hexene were specific for Penicillium , while butanoic acid butyl ester, 4‐methyl‐1‐hexene and 2‐methyltetrazole were specific for Mucor . Similarly, acetic acid methyl ester and fluoroethane were specific to Botrytis and Monilinia , respectively. The method developed in this study can be used by storage managers to detect apple diseases at an early stage of disease progress and use this to manage apple diseases in storage, after further validation under commercial conditions. Copyright © 2004 Society of Chemical Industry
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".