Effect of fertilizer on seed yield of alfalfa under irrigation in Saskatchewan
Bibliographic record
Abstract
The impact of fertilizers containing macro- and micro-nutrients on seed production of alfalfa under irrigation in Saskatchewan was assessed. Trials were conducted on a Sutherland clay loam at Saskatoon, SK, from 1986 to 1991, and in a commercial field on Asquith sandy loam near Outlook, SK, from 1990 to 1993. Nutrients (primarily combinations of P, K, S) were applied at establishment (in-row with seed, side-banded, or broadcast and incorporated prior to seeding), and/or broadcast on the soil surface each year. Seed yield at both sites was excellent for the region, and application of fertilizer had little or no impact on yield. At sites with adequate initial soil fertility, as indicated by soil testing, alfalfa may not require added fertilizer to maintain high levels of seed production. Key words: Medicago sativa, lucerne
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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 | 0.001 | 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".