Influence of cultivar and year on phytochemical and antioxidant activity of potato (Solanum tuberosum L.) in Ontario
Bibliographic record
Abstract
Hu, C., Tsao, R., Liu, R., Sullivan, J. A. and McDonald, M. R. 2012. Influence of cultivar and year on phytochemical and antioxidant activity of potato (Solanum tuberosum L.) in Ontario. Can. J. Plant Sci. 92: 485–493. Phytochemicals in coloured vegetables are responsible not only for the colour, but also for nutritional quality. In this study 11 cultivars of potato, with a wide range of skin and flesh colours, grown over two years were tested for the total phenolic content (TPC), total anthocyanin-content (TAC) and total antioxidant activity (TAA). Results showed significant variations among cultivars for both years. TPC was 1.2–3.6 mg gallic acid equivalent (GAE) g-1 dry weight (DW) in 2008 and 0.98–2.81 mg GAE g-1 DW in 2009. Total anthocyanin content was 0.70–1.92 mg cyanidin-3-glucoside equivalent (Cy3g E) in 2008 and 0.05 –1.52 mg Cy3g E g-1 DW in 2009, respectively. The TAA also varied among different potato cultivars, with values of 12 to 64 and 6.3 to 20 µmol ascorbic acid equivalents (AAE) g-1 DW in 2008 and 2009, respectively for the FRAP (ferric reducing/antioxidant power) assay, and from 42 to 168 and 75 to 174 µmol trolox equivalents (TE) g-1 DW in 2008 and 2009 in the ORAC (oxygen radical absorption capacity) assay, respectively. The purple fleshed tubers, such as “Mackintosh Black’, demonstrated the highest antioxidant activities, indicating that anthocyanins are important antioxidants. Our results suggest that purple/red potato cultivars have a greater potential as functional foods for enhanced human health benefits.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".