Comparative study of the ecological niche of Penicillum expansum Link., Botrytis cinerea Pers. and their antagonistic yeasts Candida oleophila strain O and Pichia anomala strain K.
Bibliographic record
Abstract
The protective level of both yeast strains Pichia anomala and Candida oleophila against P. expansum and B. cinerea was previously positively correlated with a yeast density superior or equal 10 4 CFU/cm 2 of fruit surface in practical conditions.Trials in laboratory conditions confirmed this observation and highlighted that thé protective level might dépend on thé humidity level on fruit surface.A study of thé ecological factors (water activity and température) susceptible to influence thé yeast density on fruit surface was undertaken.In vitro, both yeast strains had a similar ecological niche as compared with that of both wound pathogens of apple.Nevertheless at low water activities and low températures, thé lag time to -tait antagonistic yeast growth was higher than that observed for wounds pathogens.The in vivo study allowed designing two predicting growth models for describing thé yeast density on apple fruit surface according to thé relative humidity, incubation température and thé initial concentration of yeast application.A weak yeast density was observed at low relative humidity (75%).The effect of humidity appeared to be more important than that of incubation température.For both pathogens, thé in vivo study revealed only significant effect of incubation température on diameter lésion.The comparison between thé in vitro and in vivo trials underlined that yeasts followed thé same growth tendency.In contrast, thé growth of pathogens was limited at relative humidity close to saturation (98%).Ail results suggest thé importance to maintain thé storage room at saturate relative humidity in order to reduce thé losses dues to blue and grey moulds.
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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 | 0.001 | 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) | 0.001 | 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".