Identification of new aphid vector species of Blueberry scorch virus
Bibliographic record
Abstract
Transmission of Blueberry scorch virus (BIScV) by the aphid species Ericaphis fimbriata (Richards), Aphis spiraecola (Patch), Aphis pomi DeGeer, Acyrthosiphon pisum (Harris), Myzus ornatus Laing, Aphis helianthi Monell, Myzus persicae (Sulzer), and Rhopalosiphum padi (L.), was studied in the laboratory using timed aphid acquisition feeding periods and known numbers of aphid vectors.Successful infection of Nicotiana occidentalis Wheeler (Solanaceae), a newly identified herbaceous host, and highbush blueberry, Vaccinium corymbosum L. (Ericaceae), following brief virus-acquisition feeds lasting less than 5 min, demonstrated that BIScV was transmitted in a nonpersistent, non-circulative manner.Based on transfer of 10 aphids per plant, the most efficient vector of BIScV from infected to healthy N. occidentalis was M. ornatus.Compared with this herbaceous host, infection rates for blueberry were much lower even though higher numbers of aphids (25/plant) were used.The highest rate of infection for blueberry (20%) was achieved when the green colour form of E. fimbriata was used to transmit the virus.The relatively low rate of transmission from infected to healthy blueberry suggests that BIScV would spread slowly in the field.Planting of certified virusfree nursery material and aggressive removal of infected plants should help control this Dae | economically important disease of highbush blueberries.
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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".