Identification and qualitative characterization of high and low lignin lines from an oat TILLING population
Bibliographic record
Abstract
To identify differences in seed lignin content, 520 randomly chosen independent lines were screened in mutagenized oat population and lines with the seed lignin levels ranging from 20 to 63 gkg(-1) were identified. In the commercial variety Belinda, from which the mutated population was developed, seed lignin level was determined to be 41 g kg(-1). In Assiniboia, a Canadian low lignin variety, it was found to be 21 g kg(-1). To investigate if extracted lignin from the mutated lines were also qualitatively different from Belinda, two lines with the lowest and highest lignin levels were selected for structural analyses using XRD, UV and FT-IR spectroscopy. Results showed that there were significant qualitative differences in seed lignin in the mutated lines and in Belinda, and based on this, we predict that lignin from the mutated seeds will be more digestible in ruminant animals than Belinda seeds. This prediction was confirmed in preliminary in vitro digestion experiments.
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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".