Opportunities for the Inclusion of Cover Crops in the Corn-Soybean Rotation in Ontario
Bibliographic record
Abstract
Integration of cover crops in corn (Zea mays L.)-soybean (Glycine max Merr.) rotations may reduce negative impacts on crop yield, soil health, and the environment. Two experiments investigated cover crops in corn-soybean based rotations. Lolium multiflorum (annual ryegrass, AR) and Trifolium pretense (red clover, RC) were planted or broadcast into V5 corn harvested for grain or silage. Cover crop biomass in the spring ranged from 0 to 1.63 Mg ha-1. Grain corn yields were unaffected by cover crops. In the second experiment, three rotations were established: 1) continuous soybean, 2) corn-soybean, and 3) continuous soybean with broadcast or drilled AR or Secale cereale (cereal rye, CR). Cover crop biomass measured late fall was consistently low (<0.50 Mg ha-1). Spring cover crop biomass ranged from 0-1.77 Mg ha-1. Overall, AR, RC, or CR can be used as cover crops in corn-soybean rotations, however variability in biomass accumulation may limit benefits.
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 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 | 0.001 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".