Quantifying the nitrogen benefits of cool season pulse crops to an Alberta prairie cropping system
Bibliographic record
Abstract
Diverse crop rotations are an important part of sustainable agricultural systems. More information is needed in Alberta on the effects of adding pulse crops to current rotations. This experiment investigated the effects of ‘Snowbird’ tannin-free faba bean (Vicia faba L.), ‘Arabella’ narrow-leafed lupin (Lupinus angustifolius L.), and ‘Canstar’ field pea (Pisum sativum L.) on subsequent barley (Hordeum vulgare L.), canola (Brassica napus L.) and wheat (Triticum aestivum L.) crops in rotation at two sites in central Alberta (Barrhead and St. Albert). In YR1 of rotation faba bean had the highest potential for N fixation followed by pea and lupin and N returned to the soil in above ground crop residues was similar across pulse species. In YR2 of rotation faba bean and pea stubble was able to maintain the yield and quality of subsequent barley, canola and wheat crops. Pulse crops can improve the sustainability of the Alberta cropping system.
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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".