Seed Technology of Myrcianthes pungens (Berg) Legr: An Approach to Biometry and Germination
Bibliographic record
Abstract
Myrcianthes pungens, native fruit with medicinal, ornamental and ecological potential, lacks information on biometry and technology for seed germination. Thus, the aim of this study was to characterize the fruits and seeds of M. pungens, determining the appropriate substrate for laboratory tests, as well as to evaluate the effect of different concentrations of gibberellic acid (GA3) on the germination of the species. In the biometry, the mensuration of the fruits and seeds was made with the aid of a digital caliper. In the laboratory, three substrates (between filter paper, between vermiculite and between sand) were used, with five concentrations of GA3 (0; 125; 250; 375 and 500 mg L-1) and the tests were conducted in a germination chamber. The percentage of germination, hard seeds, germination speed index and seedling length root and shoot were evaluated. The average fruit length and width were 17.38 and 16.05 mm, respectively. The fruits presented one or two seeds with 8.10; 9.56 and 6.49 mm in length, width and thickness. The germination test is more efficient between fine sand, and vermiculite may also be used. The wetting of the substrate with gibberellin in the concentration of 125 to 274 mg L-1 optimizes the percentage and speed of 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".