Effects of Foliar Application of Elicitors on Red Clover Isoflavone Content
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Bibliographic record
Abstract
Abstract Red clover ( Trifolium pratense L.) contains high concentrations of isoflavones, compounds that have received much interest lately due to their presumed benefits for human health. In this experiment we tested the possibility to induce isoflavone production in the foliage of two greenhouse‐grown red clover cultivars (‘Azur’ and ‘Start’) through the application of elicitor compounds. Foliar applications of different concentrations of acetic acid (50, 100, 250 and 500 m m ), yeast extract (1, 2, 3 and 4 g l −1 ), and chitosan (125, 250, 500, and 1000 mg l −1 ) were carried out on plants at the late vegetative stage, which were harvested 2 or 8 days after spraying. Concentrations of genistein, daidzein, formononetin and biochanin A were determined by high performance liquid chromatography. The two cultivars differed in isoflavone concentrations, ‘Azur’ having on average 36 % higher biochanin A, formononetin and total isoflavone concentrations than ‘Start’ (P < 0.05). A cultivar × sampling date interaction (P < 0.1) reflected a 20 % increase over time in total isoflavone concentration with ‘Azur’, which was not observed with ‘Start’. Effects of elicitors were limited, contrasts indicating overall, 12, 14 and 15 % greater total isoflavone concentration in yeast extract (P < 0.1), chitosan (P < 0.05) and acetic acid (P < 0.05)‐treated plants, respectively, than in untreated control plants. There were few differences between the various elicitors and none between concentrations of each elicitor.
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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 | 0.000 |
| 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 it