Assessment of sainfoin (<i>Onobrychis viciifolia</i> Scop.) germplasm for agro‐morphological traits and nutritive value
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.002 |
| 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 it