Detection of Grapevine Fanleaf Virus Using Serological and Biological Assays
Bibliographic record
Abstract
The production of grapevine is important agricultural sector in Turkey. But, the production is lower than the other Mediterranean countries. One of the main reasons of low yield is many viruses’ diseases. The nepoviruse diseases are responsible for significant lossesin vineyards. Grapevine fanleaf virus (GFLV) is the most important deadly virus among them. It is transmitted by graft and vector nematodes. It has not been studied enough about this virus in our country. There is not enough detailed research on this virus in our country. In this study, the maintenance of GFLV in vineyards and their occurrence areas were determined in Adana and Mersin provinces by serological and biological assays. Out of total 384 grapevine samples, 63 plants (16.4%) were found to be infected with GFLV by double-antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA). In addition to this, as herbaceous indicator plants; Nicotiana benthamiana Domin., N. tabacum L., N. rustia L., Chenopodium amaranthicolor Coste et Reyn., C. quinoa Wild., Cucumis sativus L., and Gomprena globosa L. were used in biological assays. But chloroticlocallesions were observed only on Nicotiana benthamiana Domin. among weedy indicator plants by mechanical transmission.
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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 | 0.001 | 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".