Varroa destructor infestation levels in Africanized honey bee colonies in Brazil from 1977 when first detected to 2020
Bibliographic record
Abstract
The objectives of this review article were to examine the dynamics of Varroa destructor infestation levels in Africanized honey bees (AHB) in Brazil, since this parasitic mite was first detected in 1977. Data from published research articles, conference proceedings, congress abstracts, and unpublished data obtained from academic researchers was included. Although mite infestations varied significantly along the years, there were no indications that varroa negatively impacted Brazilian apiculture. The mean infestation levels have remained around 4.5 mites per 100 adult bees, with a median of 3.8, during the last 45 years. Adult bee and worker brood infestation rates were found to be similar, though with some geographical variation, including a tendency for higher infestations in the southern regions of the country. Various researchers have suggested that the low infestation levels could be a consequence of the tropical and subtropical climate, honey bee hybridization, grooming and hygienic behaviors, honey bee and mite genetic factors, low nutritional stress, management practices, low migratory stress, and environmental conditions. The lack of a need for chemical treatment of varroa infestations facilitates apiary management and favors organic beekeeping throughout the country. However, though AHB colonies and beekeeping in Brazil thrive without the need for treatment measures, more research should be conducted to better assess the impact that the low varroa mite infestations have on AHB colony health and productivity.
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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".