Efficacy of Thiamethoxam to Suppress Soybean Aphid Populations in Minnesota Soybean
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Soybean aphid poses a serious threat to soybean production in the United States and Canada by reducing plant height, pod number, and yield. Since its introduction, foliar insecticides have been the most common method to control soybean aphid. Treatment of soybean seed with a systemic insecticide may provide producers with an alternative to foliar applied insecticides. Therefore, our objective was to evaluate the efficacy of a seed treatment to suppress soybean aphid populations in soybean. In 2003, 2004, and 2005 we conducted field studies and supportive laboratory and in‐field bioassays (2003 and 2004 only for bioassays) to assess mortality under controlled conditions. In the field, soybean aphid populations were assessed weekly by counting the total number of aphids per plant. In an excised‐leaf bioassay, aphid mortality persisted 23 to 35 days after planting. In an in‐field bioassay (2004 only), intact plants showed longer persistence of thiomethoxam and aphid mortality persisted 49 days after planting and mortality was significantly higher in the older leaves than in newly‐expanded leaves. In all years and under various aphid densities, thiamethoxam significantly reduced season‐long aphid pressure by 45.0 to 66.7%. However, thiamethoxam treatment did not significantly increase yield in three of four location‐years, which coincided with low aphid density in untreated control plots.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it