Physiological and Sanitary Attributes Evaluation of Organic Coriander Seeds Treated With Essential Oils
Bibliographic record
Abstract
For seeds organic production the control of fungi with chemical fungicides is not indicated, which requires the use of biological products. In this sense, the use of essential oils derived from plants is a possibility for microorganisms control. This study evaluated technical feasibility of applying the essential oils of clove, lemongrass, rosemary, eucalyptus, ginger and Tea tree, in concentrations of 500, 1.000, 1.500 and 2.000 μL-1 to organic coriander seeds of the Verdon variety, besides the control. At the beginning of storage and every 60 days the seeds were evaluated for water content, germination, germination velocity index and root emission, seedling emergence and seedling emergence speed index, to shoot length, rootlength, total length and sanity. The experimental design was a completely randomized (DCR), in a 6x4 + 1 factorial scheme, with six essential oils and four concentrations + control treatment, with four replications for germination and vigor analysis, and eight replications for sanitary analysis. With increasing concentration of essential oils, there was a linear reduction in germination and a reduction in the incidence of Alternaria sp. using clove and rosemary oils at a concentration of 500 μL L-1, eucalyptus at a concentration of 1.500 μL L-1 and ginger with 2.000 μL L-1. Therefore, it is possible to use clove and rosemary essential oils up to 500 μL L-1 to reduce the incidence of Alternaria sp. without causing significant reduction in germination.
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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".