Effects of biophysical interactions of the alley cropping system on yield and nutrition of forage crops in Saskatchewan
Bibliographic record
Abstract
Competition between trees and crops in alley cropping systems for soil moisture, light and nutrients, especially N can lead to decreased crop yield. However, there is tree-crop interactions in alley cropping the Canadian prairies are poorly understood. This study examined the effects of light and soil moisture conditions in the alleyways on yield and nutrition of forage crops. The experiment was conducted using a 9-yeald old Manitoba maple alley cropping site with oats inter-planted in the alleys at the experimental site of the Agroforestry Development Centre, Indian Head, SK. Apart from crude protein (CP) and total nitrogen (TN) in the oats plant, dry matter content (DM), and acid detergent fiber (ADF) were not affected by distance from the tree row, orientation of oats plots and their interactions. Apparently, soil moisture (SMC) influenced yield and nutrition of oats in the northern orientation since DM, TN and CP were also higher in north facing plots. Producers may integrate trees on farm to diversify production cycles without comprising forage crop production and nutrition because no significant adverse effects were noted within 6m from the tree row.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".