Multi-environment field trials indicate strong genetic control of seed polyphenol accumulation in faba bean
Bibliographic record
Abstract
Abstract The interest towards faba bean as a source of plant-based protein is strongly increasing and the improvement of faba bean grain quality is pivotal to achieve a wider adoption by the food and feed industries. This study characterizes ten faba bean cultivars grown in a multi-environment field trial in Norway for their seed phenolic profile using untargeted liquid chromatography and mass spectrometry (LC–MS). The analyses identified 84 major phenolic compounds that significantly variates in their content across cultivars and locations. Variance component (VC) analyses found that genotype (G) and genotype by location (G × L) interaction VC were significant for all the identified compounds, with G having the strongest contribution to the phenotypic variance. Multivariate analyses indicated sizable differences in the phenolic profile of wild type/tannin containing cultivars, which were categorized in two distinguishable clusters mainly due to their different content of proanthocyanidins, prodelphinidins and flavan-3-ols. These results suggest that the improvement of faba bean grain quality can be achieved through breeding of new cultivars with specific phenolic profiles having enhanced health and nutritional properties.
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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".