Variation of Mucilage in Flax Seed and Its Relationship with Other Seed Characters
Bibliographic record
Abstract
A four‐location trial in western Canada with 16 North American flax (Linum usitatissimum L.) cultivars was conducted in 2001 and 2002 to investigate the genotypic and environmental influences on mucilage in the flax seed coat. The viscosity of a water extract from intact flax seed was used as quantitative descriptor of the seed‐coat mucilage (mucilage indicator value, MIV). Thousand‐seed weight (TSW) and oil content in the seed were also observed. The MIV in the 16 cultivars ranged from 90.6 to 246.1 centistokes (cSt) mL g−1, TSW ranged from 5.21 to 6.91 g, and oil content ranged from 447 to 491 g kg−1 Significant differences were found among the cultivars for all characters. A screening of 1689 recently regenerated accessions from 61 countries of the Plant Gene Resources of Canada (PGRC) flax collection showed MIVs ranging from 22.1 to 343.4 cSt mL g−1 The ranges for TSW and oil content were 3.53 to 11.50 g and 314 to 457 g kg−1, respectively. The group displaying the highest MIV included registered North American cultivars. There was no association of MIV with geographic origin, TSW, or seed oil content. Recent North American linseed cultivars varied considerably for MIVs, and breeding for this trait without impact on seed oil content or TSW should be possible.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".