New Sainfoin Populations for Bloat‐free Alfalfa Pasture Mixtures in Western Canada
Bibliographic record
Abstract
ABSTRACT Sainfoin ( Onobrychis viciifolia Scop.), a condensed‐tannin‐containing legume, when present in alfalfa ( Medicago sativa L.) pasture prevents bloat in grazing cattle. However, old sainfoin cultivars do not persist in alfalfa stands for long and in new mixed stands do not regrow at the same rate as alfalfa after cutting or grazing. This multiyear and multilocation study was initiated to determine if new sainfoin germplasm developed for their ability to survive with alfalfa can perform better than old cultivars in western Canada. In this study new sainfoin populations in pure stands persisted same as ‘Nova’ for 4 yr. In hay trials at Lethbridge under rain‐fed and irrigated conditions, four (3432, 3519, 3900, and 3902) and three (3519, 3901, and 3902) new sainfoin populations produced significantly higher dry matter (DM) than Nova, respectively. In another set of tests where multiple harvests were taken at Lethbridge (irrigation) and Saskatoon (rain‐fed), the new sainfoin populations produced higher DM yields than Nova in pure stands, persisted for three production years in mixed stands while contributing >20% DM for bloat prevention at each harvest. Nova proportions in mixed alfalfa stands decreased after the first production year. At Swift Current, however, new sainfoin populations produced significantly lower DM yield than Nova in pure stands and similar DM yield and proportions in mixed stands. Therefore, the new sainfoin populations tested may help improve hay or pasture production in most, but not in all, parts of western Canada.
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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".