Fruit cuticle composition influences susceptibility of peach (Prunus persica) fruit to brown rot (Monilinia fructicola)
Bibliographic record
Abstract
Brown rot, caused by Monilinia spp., is the most significant disease affecting stone fruits, including Prunus persica (peach). In Europe, Monilinia fructicola and Monilinia laxa are the primary species responsible for the disease, with M. fructicola becoming dominant in the Ebro Valley, a major peach production area in Spain. The fruit cuticle serves as the first line of defense against external threats and may play a key role in determining susceptibility to Monilinia spp. This study investigated the influence of fruit cuticular components (both cuticular waxes and cutin) on the susceptibility to M. fructicola in 21 Spanish P. persica cultivars, with a variable susceptibility to Monilinia spp., from the National Peach Collection at CITA (Zaragoza, Spain). The results indicate that both cuticular waxes and the cutin matrix significantly influence fruit susceptibility to M. fructicola . Specifically, several cuticular wax compounds, including pentacyclic triterpenoids and very-long-chain alkanols, as well as certain cutin monomers, were strongly negatively correlated with susceptibility to M. fructicola . These findings underscore the crucial role of cuticular components in fruit defense against M. fructicola and suggests that introgression of these traits could help breed cultivars with reduced susceptibility to Monilinia spp.
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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 | 0.001 |
| 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) | 0.000 | 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".