Assessment of sainfoin (<i>Onobrychis viciifolia</i> Scop.) germplasm for agro‐morphological traits and nutritive value
Bibliographic record
Abstract
Abstract Sainfoin (Onobrychis viciifolia Scop.) is a bloat‐free, perennial forage legume adapted to the northern temperate regions of the world. This study was carried out to evaluate phenotypic variation and nutritive value of 38 sainfoin accessions from 21 different countries. A field trial was established in 2014 using a randomized complete block design with four replications near Saskatoon, Canada, with data collected in 2015 and 2016. Analysis of variance revealed significant (p < 0.05) differences among sainfoin accessions for winter survival, dry‐matter (DM) yield, regrowth per seed yield plant, 1,000‐seed weight, plant height, growth rate, spring vigour, days to flower, stem number, crude protein (CP), neutral detergent fibre (NDF) and acid detergent fibre (ADF). Dry‐matter yield of sainfoin accessions ranged from 74 to 239 g/plant, plant height ranged from 37 to 70 cm, winter survival ranged from 20% to 94%, and seed yield ranged from 5 to 64 g/plant. Sainfoin accessions from North America produced the highest DM yield. Dry‐matter yield was positively correlated with plant height (r = 0.82), stem number (r = 0.75), growth rate (r = 0.72), spring vigour (r = 0.43), regrowth (r = 0.30), 1,000‐seed weight (r = 0.29), NDF (r = 0.71) and ADF (r = 0.74). Dry‐matter yield was negatively correlated with days to flower (r = −0.57) and CP concentration (r = −0.62). Sainfoin accessions were grouped into three main groups according to their agro‐morphological traits and nutritive value. Several promising sainfoin accessions have been identified to select for high forage yield and high winter survival in the cold climatic zone of temperate grassland.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".