DIATOMACEOUS EARTH TO CONTROL <i>CRYPTOLESTES FERRUGINEUS</i> (COLEOPTERA: CUCUJIDAE) IN STORED BARLEY IN FARM GRANARIES
Bibliographic record
Abstract
Abstract Granary trials to determine the efficacy of an enhanced diatomaceous earth (DE) formulation (Protect-It™) at 0.15 kg DE/t grain to control grain-feeding beetles in barley, Hordeum vulgare L. (Poaceae), were conducted at Glenlea, Manitoba. During the test, the grain moisture content ranged from 11 to 13%, and grain temperature ranged from 27 to 2 °C. The bulk density of barley was reduced 10–20 kg/m3 by the addition of diatomaceous earth. Adults of the rusty grain beetle, Cryptolestes ferrugineus (Stephens), were released onto the top surface of the grain of each granary, producing an average density of approximately 4 insects/kg grain. Using Berlese funnels to extract insects from grain samples there was a 95% reduction in adults and an 80% reduction in larvae found in treated grain compared with untreated grain, 1 month after releasing insects into the grain. There was a 95% or greater decrease in the total number of insects caught with probe pitfall traps in the treated barley compared with the untreated barley for all sampling dates. For the confined populations, 200 adult C. ferrugineus or Tribolium castaneum (Herbst) (Coleoptera: Tenebrionidae) (red flour beetle) were held in screened jars in the grain until the end of October, and there was over a 99% reduction in both insect species, compared with insects held on untreated grain. These results indicate that this diatomaceous earth formulation can control C. ferrugineus in barley in granaries at 0.15 kg DE/t grain.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".