The effect of greenhouse covering materials on phytochemical composition and antioxidant capacity of tomato cultivars
Bibliographic record
Abstract
BACKGROUND: The effect of light transmission (direct and diffuse) on the phenolic compounds of five tomato cultivars was investigated under controlled conditions in greenhouses covered with different covering materials. RESULTS: The type of covering material and type of diffusion of light simultaneously affected the reducing power of cultivars. Two-way analysis of variance showed statistically significant differences in total phenolic content for the different cultivars (P < 0.05) but not for the covering materials. Analysis by ultrahigh-performance liquid chromatography with diode array detection and liquid chromatography/tandem mass spectrometry showed the presence of major phenolic acid compounds such as chlorogenic acid, hydroxycinnamic acid/rutin, caffeic acid, ferulic acid and coumaric acid as well as flavonoid compounds such as myricetin, quercetin and naringenin. Most of the identified compounds showed a significant difference in different treatments due to both cultivar and covering material (P < 0.05). Statistical analysis showed that the type of covering material used influenced the total carotenoid and lycopene content (P < 0.05); however, the amount of lutein was not influenced by the type of covering material (P > 0.05). CONCLUSION: This study showed that the use of solar energy transmission could positively affect the reducing power of cultivars and alter the biosynthesis of certain phytochemicals that are health-beneficial. Further study could lead to applications for producing greenhouse vegetables with greater health attributes. © 2018 Society of Chemical Industry.
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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 | 0.001 | 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 | 0.001 |
| 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".