Evaluation of disease severity caused by <i>Bean golden mosaic virus</i> in different bean cultivars
Bibliographic record
Abstract
Common bean (Phaseolus vulgaris L.) can be affected by several viral diseases, including golden mosaic caused by the Bean golden mosaic virus (BGMV). When infected by BGMV, bean plants undergo major physiological changes, leading to a reduction or complete loss of productivity. This study aimed to evaluate and compare seven bean cultivars and lineages, as well as the legume calopo (Calopogonium mucunoides Desv.), for the severity of golden mosaic symptoms and BGMV titre following inoculation. The study was conducted in the greenhouse under controlled environmental conditions. Plants were inoculated with viruliferous whiteflies [Bemisia tabaci (Gennadius)], and evaluated for severity of disease symptoms at 7, 10, 15, 20, and 25 days after inoculation (DAI). The virus titre was measured by quantitative PCR (qPCR) analysis with primers specific for the virus coat protein gene. All bean genotypes were symptomatic for BGMV infection, but calopo was not. There were differences among the tested cultivars and lineages for the expression of symptoms. Differences in BGMV titre also were observed among the cultivars at 10 and 25 DAI. The bean cultivar ‘Tangará’ had a greater viral titre but exhibited lower symptom severity than the other cultivars. Calapo was tolerant to BGMV.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".