A Review on Ecology of Interactions in Soybean Vein Necrosis Orthotospovirus (SVNV): Plants, Vectors, Virus Dispersal and Management Perspectives
Bibliographic record
Abstract
Soybean vein necrosis orthotospovirus (SVNV, Genus: Orthotospovirus, Family: Tospoviridae, Order Bunyavirales) is a vector and seed transmitted virus that infects soybean in different countries around the world. The purpose of this review paper was to provide information about SVNV, its geographic dispersal, vectors, disease transmission mode, alternative host plants, diagnostic tools and management. SVNV is a negative-sense single-stranded RNA virus reported in all soybean growing states in the USA, Egypt and Canada. SVNV can replicate in plants belonging to six different families, including the Leguminosae member mung bean, which is a major component of the diet of poor people of Asia. The most efficient and abundant SVNV vector species is Neohydatothrips variabilis (Beach.) (Sericothripinae: Thripidae). Five other insect species have the potential to transmit the virus, but their rate of transmission is very low. In addition to leaf necrosis, this virus can decrease seed oil content by 0.1% that may lead to a decrease in quality of SVNV infected seed in oilseed markets. In fact, in the infected seeds the quantity of the undesirable linolenic acid, a polyunsaturated fatty acid is increased. Broad presence of SVNV in all soybean growing regions points to the need to manage vector and virus. However, research is needed to determine various management options for the virus and vector including breeding for genetic resistance.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".