<b>Role of host‐plant selection in resistance of wild <i>Solanum</i> species to <i>Macrosiphum euphorbiae</i> and <i>Myzus persicae</i></b>
Bibliographic record
Abstract
Abstract Damage to potatoes by Macrosiphum euphorbiae (Thomas) and Myzus persicae (Sulzer) (both Hemiptera: Aphididae) can be controlled through plant resistance. We used ethological experiments and electric penetration graph (EPG) analysis to evaluate the role of host selection in the previously assessed resistance levels of Solanum accessions: Solanum circaeifolium Bitter subsp. capsicibaccatum (Cárdenas) (PI210036), S. chomatophilum Bitter (PI243340 and PI310990), S. okadae Hawkes & Hjert. (PI458367), S. oplocense Hawkes (PI473368), S. pinnatisectum Dunal (PI186553), S. polyadenium Greenm. (PI230463), S. tarijense Hawkes (PI414150), and S. trifidum Correll (PI255538), to M. euphorbiae and M. persicae. Through multivariate analysis, we grouped behavioural variables into factors, which we related to host selection behaviours, and then evaluated whether factors varied between each accession and the susceptible S. tuberosum. None of the factors obtained by ethological experiments differed among accessions. Four of six and three of five factors obtained through EPG varied among accessions for M. euphorbiae and M. persicae, respectively, and were used to suggest resistance characteristics. The resistance to M. persicae of both S. chomatophilum accessions was associated with pathway activity disturbance. Solanum tarijense and S. polyadenium resistance to M. persicae resulted from leaf surface characteristics, which may be trichomes. Solanum oplocense and S. trifidum resistance to M. euphorbiae resulted from the wound response system, whereas S. pinnatisectum resistance may stem from nutritionally unbalanced or toxic phloem sap. Solanum polyadenium resistance to M. euphorbiae was phloem‐based. Solanum circaeifolium ssp. capsicibaccatum resistance to M. persicae, and the resistance of PI243340 S. chomatophilum and S. tarijense to M. euphorbiae were not related to host selection and therefore were presumably due to physiologically active compounds.
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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 | 0.000 |
| 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".