Mortality and movement of Cryptolestes ferrugineus and Rhyzopertha dominica in response to cooling in 300-kg grain bulks
Bibliographic record
Abstract
We examined the effect of low temperatures on insect population density and mortality of adult and immature stages of Cryptolestes ferrugineus and Rhyzopertha dominica in three barrels holding 300 kg of wheat each. Barrels were infested with 2 insects/species/kg and left to develop at 30 °C for 5 months. Temperature of the grain mass before cooling was 38 °C in the centre to a low of 28 °C on the periphery. On 11 February the building door was opened to allow for cooling of the grain. During the 3 weeks of cooling, temperatures in the centre reached as low as −5 °C. Segregated (11 segments) grain trier samples were collected from three locations in each barrel, from February until March 2013 (6 dates), sieved, and the number of live and dead adults counted. Sieved grain was held for 5 weeks 30 °C and emerged adults counted to give an estimation of immature stages within the grain at the time of sampling. Rhyzopertha dominica adults were found mainly in the top 40 cm of the barrel, and there was little movement to the centre as the grain mass cooled. The initial distribution of C. ferrugineus adults was more complex; in two barrels adults were mostly in the centre of the grain mass, while in the other barrel, more adults were found on the periphery. When the grain mass cooled, C. ferrugineus adults in all barrels were found mostly in the centre. On day 0, the average number of live adults of C. ferrugineus and R. dominica were 232 ± 56 and 414 ± 48 insects/100 g, respectively. Rhyzopertha dominica adults were more susceptible to low temperatures than C. ferrugineus. The density of immatures of C. ferrugineus and R. dominica were similar at 0 d, there was a decline over the 21 d, but there was some survival at day 21.
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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) | 0.001 | 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".