Study on Japanese Cornmint in Mississippi
Bibliographic record
Abstract
Japanese cornmint (Mentha canadensis L.) is a subtropical essential oil crop grown in Asia and South America. The essential oil of Japanese cornmint is the source for production of crystal (–)‐menthol, which is an important aromatic agent used in various industries. The United States is a major importer and consumer of (–)‐menthol and de‐mentholized oil. Currently there is no production of Japanese cornmint in the United States. A 2‐yr study was conducted in Mississippi to evaluate the effect of N application rates (0, 80, and 160 kg ha−1) and cut (harvest time, with a first cut in July, and a second cut in October) on herbage yields, essential oil content, and composition of two Japanese cornmint genotypes (‘Arvensis 2’ and ‘Arvensis 3’). Both cultivars provided two cuts and comparable herbage and oil yields to literature reports. Generally, N application increased fresh herbage and oil yields relative to the untreated control. Herbage, essential oil, (–)‐menthol, and (–)‐menthone yields were greater from the first cut than from the second for both cultivars. The concentration of (–)‐menthol in the oil of both cultivars was approximately 50% in 2007; however, in 2008 the (–)‐menthol concentration was 67 to 76% in ‘Arvensis 2’ and 73 to 78% in ‘Arvensis 3’. This study demonstrates that Japanese cornmint could be successfully grown in Mississippi and possibly other areas in the southeastern United States with similar environmental conditions.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".