Do Larvae of Bertha armyworm, <i>Mamestra configurata</i> (Walker) (Lepidoptera: Noctuidae), express induced feeding responses?
Bibliographic record
Abstract
Abstract The Bertha armyworm, Mamestra configurata (Walker) (Lepidoptera: Noctuidae), is a polyphagous Nearctic insect known to feed on over 40 different host plant species, and can be a pest of canola (Brassica napus L. and Brassica rapa L.), flax (Linum usitatissimum L.), and alfalfa (Medicago sativa L.) in the Northern Great Plains. Bertha armyworm is known to sometimes switch hosts through between‐field movements, prompting this study to investigate its adherence to a particular host plant species after completing a period of initial development on it. In a laboratory study, larvae were reared to either their fourth or sixth instars on either intact or excised leaf tissue of one of seven host species, and were then allowed to select feeding hosts from various choices that included canola, B. napus and B. rapa (Brassicaceae), Canada thistle, Cirsium arvense (L.) Scop. (Compositae), flax, L. usitatissimum (Linaceae), field pea and alfalfa, Pisum sativum L. and M. sativa (Leguminosae), and lamb’s quarters, Chenopodium album L. (Chenopodiaceae). In general, Bertha armyworm larvae showed little propensity to feed on the host plant species on which they had been reared in their early life stages. Exceptions occurred for larvae reared on intact tissue of B. rapa and P. sativum, where larvae were subsequently observed feeding on these hosts significantly more frequently than on other host plants. When larvae of Bertha armyworm were reared through early developmental stages on intact plant tissue of a single host, B. rapa was frequently the choice for subsequent feeding. Movements of Bertha armyworm larvae between fields therefore appear to result from larvae that have exploited food resources in one area and are dispersing to regions of improved host plant availability.
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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".