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Record W1656185785

Identification of new aphid vector species of Blueberry scorch virus

2008· article· en· W1656185785 on OpenAlexafffund
D. Thomas Lowery, M. G. Bernardy, Robyn DeYoung, Chris J. French

Bibliographic record

VenueBiodiversity Heritage Library (Smithsonian Institution) · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsBiologyMyzus persicaeAphidVacciniumHerbaceous plantBotanyHorticultureAphis
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.050
GPT teacher head0.209
Teacher spread0.159 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2008
Admission routes2
Has abstractyes

Explore more

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