An insight into sainfoin (<i>Onobrychis viciifolia</i> Scop.) breeding: Challenges and achievements
Bibliographic record
Abstract
Abstract Over the last decade, there has been a renewed interest in sainfoin ( Onobrychis viciifolia Scop.), particularly among western Canadian forage and beef‐cattle producers. A major trigger has been the availability of new sainfoin cultivars with improved compatibility with alfalfa ( Medicago sativa ). These new cultivars in binary mixture with alfalfa significantly reduced the incidence of alfalfa pasture bloat in grazing animals, potentially saving an estimated CAD 300–500 million worldwide, largely by eliminating direct animal losses and expenses associated with prevention and treatment. Although the development of new sainfoin cultivars was a significant breakthrough, this alone did not ensure its adoption by producers in western Canada. Indeed, concerns and questions endured, including whether sainfoin cultivars could in fact grow together with alfalfa and persist as a perennial crop, whether including sainfoin in alfalfa stands would make the pasture bloat safe, whether the biomass yield of sainfoin was comparable to that of alfalfa for a profitable return, and whether livestock would graze sainfoin to the same extent as alfalfa. In this review study, we provide an overview of sainfoin breeding research and discuss how new sainfoin cultivars (AAC‐Mountainview and AAC‐Glenview) were developed in Canada for binary mixtures with alfalfa. Additionally, we highlight current progress in sainfoin breeding efforts and the prospect of this species as a livestock feed for a sustainable agriculture system.
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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".