Trade‐off between foliage and tuber resistance to <i>Phthorimaea operculella</i> in wild potatoes
Bibliographic record
Abstract
Abstract Plants allocate resources between defence, reproduction, maintenance, and growth. This can lead to detectable allocation and ecological costs expressed as trade‐offs between distinct plant functions. It could also lead to trade‐offs between a plant's defences to different kinds of herbivores or a plant's defences to herbivory on different plant parts. We examined the hypothesis that allocation to defence in leaves is inversely related to allocation to defence in tubers of two distinct trichome‐bearing morphotypes of the wild potato, Solanum berthaultii Hawkes (Solanaceae). This species has been widely used in potato breeding programs aimed at acquiring foliage resistance to Phthorimaea operculella Zeller (Lepidoptera: Gelechiidae) and other herbivores. Phthorimaea operculella lays eggs in the soil and neonate larvae generally initiate host attack. We exposed leaves and tubers from multiple wild potato populations to neonate P. operculella . For both plant morphotypes, survival of neonate larvae placed on foliage was negatively correlated with the survival of neonate larvae placed on tubers, suggesting a trade‐off between the levels of herbivore defence in these plant tissues. These results suggest that the evolution of tuber resistance and trichome‐mediated foliage resistance to herbivores may not be independent, and that potato‐breeding programs that select for resistance in one tissue might compromise resistance in another.
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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 | 0.001 | 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".