Population dynamics of <i>Tribolium castaneum</i> (Coleoptera: Tenebrionidae) in wheat and in wheat mixed with cracked wheat held in different types of containers
Bibliographic record
Abstract
The population dynamics of Tribolium castaneum (Herbst), red flour beetle, was studied at 30 °C using long vertical columns (LVCs) (150 mm diameter and 1,020 mm long) and shallow containers (SCs) (460 mm long, 660 mm wide, and 150 mm high), containing 14 kg of whole wheat or a diet made of whole wheat and cracked wheat in 19:1 ratio by mass. The moisture content of the wheat or mixed diet was 14.5% (wb). Every 4 wk and up to 24 wk the live and dead adults were counted in the SCs or in each section of the LVCs. Each LVC was separated into 10 equal sections before removing grain from the LVC. After counting, the grains were incubated at 30 °C and 70% RH for 4 wk, and emerged adults after re-incubation were counted as offspring. The adults and offspring were mainly concentrated in the top section of the LVCs, which could be due to higher mortality in the lower sections and preference of T. castaneum for the surface of grain bulk. The diet influenced the population, and the insects developed better in the cracked wheat-based diet. Greater surface area of the container increased the multiplication and/ or survival of T. castaneum and insects inside SCs with larger surface area and with cracked wheat-based diet, had quicker population increase rate and larger carrying capacity than LVCs.
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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".