Micropropagation’s Complete Protocol of Red Araçá (Psidium cattleianum, Myrtaceae) from Germinated Seeds in vitro
Bibliographic record
Abstract
Red Araçá’s (Psidium cattleianum) micropropagation processes have shown enormous potential both in terms of research and as a sustainable native resource to be used in the areas of food production, ecology, and pharmacology. Currently, however, despite that potential, research efforts involving this myrtaceae, native to the Brazilian Atlantic Forest, have been scarce. With that in mind, this study set out to establish micropropagation techniques that would allow the development of a feasible protocol to be used with Red Araçá, achieving its mircropropagation from in vitro germinated seeds. Different types of explants were tested for in vitro establishment. For the multiplication of nodal segments, different concentrations of BAP and IAA combinations were tested in an MS medium. Using the same medium, different concentrations of ampicillin were applied in order to determine its influence on the decontamination of the apical segments. The BAP and IAA combinations were also used to test their effects on the in vitro explants’ development and rooting. During pre-acclimatization, survival of in vitro rooted plants was tested in a nebulizer chamber, using a commercial substrate and that same substrate mixed with washed sand (1:1). In essence, it was indeed possible to develop a complete protocol for the micropropagation of the Red Araçá from seedlings obtained by in vitro germination. The in vitro introduction of the Red Araçá was rather efficient, independently of the type of explants used. As the BAP and IAA concentrations increased, so did the in vitro seedlings’ development (7 leaves explant-1) and rooting (67%). Additionally, the in vitro rooted plants exhibited a high rate of survival (80%) in the pre-acclimatization phase, independently of the substrate used.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".