A Commercial Extract of Brown Macroalga (<i>Ascophyllum nodosum</i>) Affects Yield and the Nutritional Quality of Spinach<i>In Vitro</i>
Bibliographic record
Abstract
The effects of extracts of the brown marine alga (Ascophyllum nodosum, ANE) on growth and biochemical and molecular changes in spinach were studied. Overall increases in biomass, chlorophyll, and antioxidant activity were observed at an application rate of 0.1 g L –1 ANE. Shoot fresh weight, dry-matter content, and total soluble protein showed 1.6-, 1.2-, and 1.5-fold increases, respectively. Total chlorophyll increased by 30% and total antioxidant capacity, phenolics, and flavonoid content increased by at least 33%. A 1.4-fold increase in chalcone isomerase activity was observed, whereas the activity of phenylalanine ammonia lyase was not affected. The ANE affected the transcript abundance of genes that affect sucrose and glycine betaine metabolism. The transcript abundance of cytosolic glutamine synthetase (GS1), betaine aldehyde dehydrogenase (BADH), choline monooxygenase (CMO), and glutathione reductase (GR) increased in plants treated with 0.1 g L –1 ANE.
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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".