Impact of lamb’s-quarters, common ragweed and green foxtail on yield of corn and soybean in Ontario
Bibliographic record
Abstract
Field studies were conducted in Harrow, Ontario, from 1990 to 1993 to quantify the relationship between yield of field corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] and density of lamb’s-quarters (Chenopodium album L.), common ragweed (Ambrosia artemisiifolia L.), and green foxtail [Setaria viridis (L.) Beauv.]. Experiments were conducted separately for each weed and crop combination. Weeds emerged at the same time as or within a week of the crop. Coefficients of the rectangular hyperbolic damage function were estimated for each year and pooled over years. In both crops, lamb’s-quarters was the most competitive of the three weed species, and green foxtail was the least competitive at low densities. Maximum yield loss at high weed density varied with weed species in field corn, but not in soybean. The estimated competition coefficients of the damage function have been incorporated in a decision support system for integrated weed management in Ontario. Key words: Weed interference, yield loss
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 | 0.000 | 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 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".