<i>Apis mellifera</i>(Hymenoptera: Apidae) drone sperm quality in relation to age, genetic line, and time of breeding
Bibliographic record
Abstract
Abstract A honey bee (Apis melliferaLinnaeus; Hymenoptera: Apidae) queen’s life expectancy is strongly dependent on the number of sperm she obtains by mating with drones during nuptial flights. Unexplained replacement of queens by the colony and young queens showing sperm depletions have been reported in North America, and reduced drone fertility has been a suspected cause. The aim of this study was to evaluate drone reproductive qualities during the queen-rearing season, from May to August. Drones from two different genetic lines were reared six times during the 2012 beekeeping season at our research centre in Québec (Canada). Semen volume as well as sperm number and viability were assessed at the ages of 14, 21, and 35 days. Results showed (1) a greater proportion of older drones with semen at the tip of the genitalia after eversion; (2) an influence of rearing date on semen production; and (3) no influence of drone genetic line, age or time of breeding on sperm viability. These results highlight the necessity of better understanding drone rearing and how it can be improved to ensure optimum honey-bee queen mating.
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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 | 0.000 | 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) | 0.002 | 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".