Soybean N2-fixation rates and yield in tree-based intercropping systems: Effects of water limitations and environmental modifications
Bibliographic record
Abstract
In Ontario, where 80% of Canada's soybean crop is grown, a lack of reliable soil moisture during the growing season is an anticipated outcome of climate change. Di-nitrogen (N2) fixation rates in soybean are well known to be highly sensitive to water deficits. The objective of this study was to examine i) the effect of a full season water deficit on soybean N2-fixation rates and yield in the field, and ii) whether tree- based intercrops (TBI) could modulate the impact of a full season water deficit on these two parameters. This study used rainfall reduction shelters to reduce available soil moisture \nin monoculture and in a TBI agroforestry system in southern Ontario. Fixed N was significantly reduced in the water deficit treatment in both monoculture and TBI systems. Soybean yield was significantly reduced in the water deficit treatment but only in monoculture, not in the TBI system. Results demonstrate that important N pathways are restricted under water limitation but that TBI systems may induce yield stability under\nwater deficit scenarios.
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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".