Health quality and germination of Butia capitata seeds treated with bactericide and fungicide
Bibliographic record
Abstract
ABSTRACT Propagation of “coquinho-azedo” (Butia capitata) is limited due to dormancy and high incidence of fungi in its seeds. The aim of this study was to evaluate the effect of treating “coquinho-azedo” seeds with different concentrations of bactericide and/or fungicide on the incidence of fungi and on the germination of seeds. Thus, B. capitata seeds were immersed in four doses of the bactericide kasugamycin (0, 1.5, 3.0 and 4.5 mL/L) and/or in four concentrations of the fungicide carbendazim+ thiram (0, 2.92, 5.84 e 8.75 mL/Kg), totaling 16 treatments. After the treatments, the operculum was removed from the seeds, which were placed on trays containing autoclaved sand, covered with transparent plastic film and kept in the nursery. In the germination test, treatments were distributed in randomized block design, factorial arrangement of 4x4 (bactericidal doses x fungicide doses), with four replicates of 50 seeds per plot. For the test of seed health quality, the Blotter test was employed in completely randomized design, using 20 replicates and 10 seeds. Health quality and germination were evaluated at 15 and 40 days after the treatment of seeds, respectively. There was no interaction between the bactericide and the fungicide on germination and control of fungi associated with seeds. However, there was an effect of fungicide concentrations on the evaluated parameters. We observed a negative correlation between the concentrations of the fungicide carbendazim + thiram and fungal incidence, and a positive correlation between the fungicide concentrations and seed germination. Therefore, fungicide treatment reduces the fungal incidence and provides better germination of B. capitata seeds.
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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 | 0.000 | 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) | 0.000 | 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".