<i>Trichoplusia ni</i> growth and preference on broccoli and eight common agricultural weeds
Bibliographic record
Abstract
Larval growth and feeding, and adult ovipositional preference of the cabbage looper, Trichoplusia ni Hübner, were investigated on broccoli (Brassica oleracea var. italica L.) and eight common agricultural weeds: cow cockle (Saponaria vaccaria L.), common groundsel (Senecio vulgaris L.), lamb’s-quarters (Chenopodium album L.), redroot pigweed (Amaranthus retroflexus L.), sheep sorrel (Rumex acetosella L.), shepherd’s purse (Capsella bursapastoris L.), stinkweed (Thlaspi arvense L.), and wild mustard (Sinapsis arvensis L.). Leaves from greenhouse grown plants were removed and fed to 1st instar larvae in a 7-d growth trial. Broccoli-fed larvae grew larger than those fed on cow cockle, redroot pigweed, sheep sorrel, stinkweed, and wild mustard. Only one insect of 64 survived for 7 d on stinkweed. In a leaf disc choice bioassay, 4th instar larvae showed a significant feeding preference for common groundsel over broccoli. Broccoli was preferred for oviposition over three of the weeds (common groundsel, lamb’s-quarters, and shepherd’s purse). Stinkweed showed promise as a dead-end trap species for this insect in broccoli, since more insects oviposited on stinkweed compared with broccoli yet larval survival on stinkweed was almost nil. Key words: Trichoplusia ni, broccoli, Thlaspi arvense, oviposition, feeding deterrence
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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".