Prewinter Management Affects <I>Megachile rotundata</I> (Hymenoptera: Megachilidae) Prepupal Physiology and Adult Emergence and Survival
Bibliographic record
Abstract
The alfalfa leafcutting bee, Megachile rotundata F. (Hymenoptera: Megachilidae), is widely used as a pollinator for production of alfalfa, Medicago sativa L., seed, and populations of these bees can be maintained by alfalfa seed growers or can be purchased from mostly Canadian bee providers. M. rotundata raised in Canada have higher survival rates during the incubation that occurs after winter storage than do bees produced in the northwestern United States, but no reason has been found for this difference. We investigated whether storing immature M. rotundata for various time periods at a warm temperature (16 degrees C) before winter or allowing them to remain unmanaged at ambient temperatures affects physiological aspects of prepupae during the winter as well as the survival and longevity of adult bees after spring or summer incubation. Our results show that the timing of the onset of winter storage and incubation does affect prepupal weights, prepupal lipid and water contents, adult emergence, and adult female longevity. Winter storage of prepupae in November or December with a late June incubation resulted in heavier adults that emerged more readily than bees incubated in late May. However, adult females incubated in May thrived longer than June-incubated bees if fed a honey-water diet. Thus, some prewinter management regimes for M. rotundata commercial stocks may be more effective than others for achieving optimal adult emergence synchrony, as well as adult survival and longevity for pollination of a summer crop.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".