Resistance Level to an Aphid Potato Pest Varies Between Genotypes From the Same Solanum Accession
Bibliographic record
Abstract
Plant resistance to aphids can be improved by introgressing resistant traits from wild Solanum species into the potato germplasm. Breeding parents are commonly selected from the different accessions of each species. Accessions originate from several seeds collected in a restricted area and are conserved as seeds in genebanks. Genetic heterogeneity may be expected between genotypes from the same accession and could influence resistance level. Working with the potato aphid, Macrosiphum euphorbiae (Thomas), and the accession PI243340 of Solanum chomatophilum (Bitter), which has been previously rated as resistant to M. euphorbiae, we genetically identified and assessed the resistance level of genotypes within the accession. A combination of two multilplex polymerase chain reactions (PCRs) discriminated the 13 plant genotypes assessed. Survival of M. euphorbiae, measured using clip cages, varied significantly between five genotypes, randomly selected among the 13 previously assessed, but did not differ between same-genotype plants. Survival among genotypes ranged from 0 to > 60% 12 d after adult molt, and the least resistant genotype exhibited survival close to the susceptible standard, Solanum tuberosum L. Our results support the use of PCR multiplex methods to assess genetic heterogeneity in wild Solanum, and suggest that within accession genetic heterogeneity is sufficient to influence resistance level to aphids. Fine screening at the genotype level is preferable when assessing resistance to aphids.
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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 | 0.001 |
| 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".