Mechanical Damages and Chemical Treatments in the Quality of Maize Seeds Stored
Bibliographic record
Abstract
The current system of seeds production is highly mechanized and these operations can contribute to losses in quality due the incidence of mechanical damages. The objective in this work was to study the effect of the chemical treatment and the storage on quality of maize seeds with mechanical damages. The seeds used were individually analyzed through X-ray test for the obtainment of three lots; 1-seeds without separation, 2-seeds without mechanical damages and 3-seeds with mechanical damages. The lots were evaluated according the physiological quality, sanity and enzymatic analyzes before and after the chemical treatment with the insecticide Maxim Advanced® and the fungicide Cruiser® and also after 90 days of storage. The chemical treatment of maize seeds is efficient in the control of pathogens, like Fusarium sp. The performance of seeds with internal and external damages can be maintained for 90 days when treated with fungicides and insecticides and stored in environment conditions. The isoenzymatic patterns of catalase (CAT), superoxide dismutase (SOD), malate dehydrogenase (MDH) and alcohol dehydrogenase (ADH), confirmed the higher deterioration of non-treated seeds during the storage. The mechanical damages found in seeds contribute to the reduction of viability and vigor of maize seeds.
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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".