Studies of the functionality of annual crop and weed diversity in polyculture cropping systems
Bibliographic record
Abstract
The goal of this study was to empirically evaluate the ecological and agronomic function of plant diversity in annual cropping systems by conducting greenhouse and field experiments.In the greenhouse experiment, the effects of three different tlpes of plant diversity (crop, barley cultivar and weed species) were compared.Increasing crop richness increased overall crop production, yield stability and weed suppression.Increasing barley cultivar richness produced much weaker effects.Increasing weed diversity resulted in an increase to overall plant (weed and crop) production and production stability.Increased light interception related to greater plant canopy height variation in diverse mixtures of plant types or species could have contributed to increases in productivity.In the fietd experiment, agronomic effects were investigated for different crop treatments based on three crops (spring wheat, canola and field pea), including the three-crop mixture, allpair combinations of the crops and the sole crops at two sites in Manitoba from 2001 to 2003.The effects of the different crop combinations on weed recruitment and biomass and crop production were studied in the presence and absence of in-crop herbicides.Light, water and N use were measured during the growing season.Some intercrop treatments (e.g., wheat-canola and wheat- canola-pea) tended to produce greater weed suppression compared to sole component crops, indicating synergism among crops within intercrops with regard to weed suppression.Intercrop treatments resulted in land equivalent ratios (LER) > I (i.e.,
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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".