Residual herbicide impact on cover crops utilized within cropping systems for weed suppression
Bibliographic record
Abstract
Annual ryegrass (Lolium multiflorum Lam.), and red clover (Trifolium pratense L.) interseeded into V4 corn, and oilseed radish (Raphanus sativus var. oleiformis L.) planted after winter wheat harvest were evaluated for weed suppression. A concern with these practices is how the herbicide applied to the main crop will affect the establishment and growth of the cover crop, and whether the interseeded cover crop competes with the main crop. Experiments were conducted at two locations per study year (2016, 2017) at the University of Guelph Ridgetown Campus. S-metolachlor/mesotrione/atrazine, S-metolachlor/mesotrione/bicyclopyrone and S-metolachlor/mesotrione/bicyclopyrone/atrazine applied preemergence (PRE) caused 91-99% red clover, and 74-94% annual ryegrass injury. S-metolachlor, atrazine and S-metolachlor/atrazine, applied PRE caused 73 to 86%, <1% and 83 to 89% annual ryegrass injury, respectively. As intercrops, annual ryegrass and red clover did not reduce grain corn yields. Bromoxynil/bicyclopyrone and bromoxynil/pyrasulfotole applied postemergence (POST) in winter wheat neither injured nor reduced oilseed radish biomass.
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.
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".