Rapid and minimally invasive lipid analysis of Pea seeds using HRMAS-NMR
Bibliographic record
Abstract
Demand for alternative lipid resources, such as vegetable oil, has been ever-increasing. To fulfill this increase in popularity, alternative oilseed crops are under investigation. This research investigates the development of field pea (Pisum sativum) as an alternative oilseed crop in Western Canada, as it is a major producer of field pea because of its climate. The objective was to adapt a minimally invasive and rapid methodology for lipid analysis in dried seeds of pea to facilitate a breeding program. This technique enabled post-analyzed seeds to germinate as only a tiny mass of tissue is required (7 mg) for lipid analysis. The HRMAS (high-resolution magic angle spin) NMR spectroscopy was used to quantify lipid content in genetically modified and wild accession pea seeds. The lipid content in wild-type ranged from 2.37 % to 5.89 %. The lipid content of the germinated seed was significantly correlated with the 100 seed mass (r= 0.56) and stem diameter (r= 0.85). This newly adapted methodology will be used in the selection of individuals in the next phase of the breeding program
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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 | 0.000 |
| 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) | 0.001 | 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".