Harvest season and seed physiological potential of ‘dedo-de-moça BRS Mari’ hot peppers
Bibliographic record
Abstract
The cultivation of chili peppers (Capsicum spp.) plays a key role in the fresh vegetable, condiment, and preserve markets. The determination of the harvest season suitable for seed production is crucial to obtain high-quality seeds and ensure production success. Therefore, this study aimed to determine the harvest season of ‘dedo-de-moça BRS Mari’ hot peppers that provides the maximum seed physiological potential. The flowers in anthesis were labeled daily and the fruits were harvested 25, 40, 55, 70, 85, and 100 days after anthesis (DAA) and classified as green, yellowish green, orange, red, extreme red, and intense red, respectively. The seed physiological potential was determined by using the water content, dry matter, germination, first germination count, germination rate index, and accelerated aging tests. The seed dry matter increased steadily until 55 DAA (3.95 mg per seed), then increased slightly to 70 DAA (4.05 mg per seed), and stabilized from 85 to 100 DAA. The harvested seeds began to germinate at 55 DAA with approximately 40% germination, which peaked at 70 DAA with 87% germination; this value was maintained until 100 DAA. The highest values of the germination rate index were found at 70, 85, and 100 DAA. An increase in seed vigor was observed, based on the accelerated aging test, which peaked at 85 DAA and subsequently decreased. The peppers were harvested between 70 and 85 DAA and red to extreme red were found to be the most recommended colors to obtain ‘dedo-de-moça BRS Mari’ hot pepper seeds with high physiological potential.
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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".