<i>Fragaria virginiana</i> resists tarnished plant bug
Bibliographic record
Abstract
Abstract An experiment that involved 79 named cultivars and advanced selections of Fragaria × ananassa L., 46 Fragaria virginiana Duch. clones, and 12 F. virginiana backcross selections, and eight Fragaria virginiana × Fragaria chiloensis (L.) Duch. (all Rosaceae) selections, was conducted to detect variation in strawberry genotypes for resistance to tarnished plant bug, Lygus lineolaris (Palisot de Beauvois) (Heteroptera: Miridae). The F. virginiana genotypes were shown to be more resistant than the cultivars and advanced selections in both 2001 and 2002. Within the group of cultivars and advanced selections, several June‐bearing and dayneutral genotypes were more resistant than others. There were fewer plant bugs on F. virginiana than on the cultivars and hybrids. Insect numbers were consistently correlated with percentage of damaged fruits and damage severity, but total numbers of flowers and fruits were only correlated with insect numbers, percentage fruit damage, and damage severity in 1 of the 2 years. Our results suggest that strawberry cultivars, highly resistant to tarnished plant bug, can be bred, if the trait is introgressed from F. virginiana selections.
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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) | 0.002 | 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".