Movement of grain to control stored-product insects and mites
Bibliographic record
Abstract
The movement of stored grain by auger or pneumatic conveyor was evaluated for control of stored-product insects and mites. In a pilot scale test using nine welded steel bins each holding 322 kg of wheat (Triticum aestivum), movement of grain using an auger in three bins caused 89% mortality of red flour beetle, Tribolium castaneum adults and 94% mortality of rusty grain beetle, Cryptolestes ferrugineus adults. Larval mortality of both species, based on grain samples placed in Berlese funnels, was 100%. Pneumatic conveyance of grain in three bins caused 100% mortality of all stages of both insects based on grain samples and grain-probe insect traps. In field tests, infested wooden bins of wheat and corn (Zea mays) were moved by pneumatic conveyor to a truck and then hand-poured into welded steel bins. A parallel test on wheat and corn was done using a screw auger to move the grain. Pneumatic wheat movement killed 100% of mites (Aeroglyphus robustus), T. castaneum adults and larvae, and C. ferrugineus adults. Mortality of C. ferrugineus larvae and psocids was 79% and 83%, respectively. Augering wheat killed 98% of mites, 84% T. castaneum adults, 70% T. castaneum larvae, 14% C. ferrugineus adults, and 0% C. ferrugineus larvae. Pneumatic movement of corn killed 97% T. castaneum adults, 72% C. ferrugineus adults and 100% of the fungus beetle Cartodere constricta. Augering corn had less effects than pneumatic movement on insect mortality. Pneumatic conveyance of grain, especially wheat, offers an effective physical control for common stored-product insects.
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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".