Antioxidant Activity, Rutin Content and Genetic Similarity Between Matrices and Progenies of Hancornia speciosa
Bibliographic record
Abstract
Mangaba tree (Hancornia speciosa Gomes) is a tropical fruit species from Brazil and presents socioeconomic potential. The objective of this study was to determine antioxidant activity, rutin content and genetic similarity among in vivo and in vitro matrices and progenies of six accessions from the Mangaba Active Germplasm Bank of the Embrapa Coastal Tablelands, SE, Brazil. Young leaves of adult matrix plants and in vitro callus methanolic extracts obtained from young leaves resulted in differences between the accessions for the rutin content and high antioxidant activity. The Costa Azul accession, from Bahia, Brazil outstood with values above 3,000 g of dry extract/g of DPPH (2.2-diphenyl-1-picrilhydrazyl) in in vitro callus coming from nodal and internodal segments (3,023.73 and 3,136.80 g of dry extract/g of DPPH, respectively). Rutin was not found in extracts resulting from in vitro callus of mangaba tree. The difference among the values obtained for DPPH analysis are superior when compared with in vivo leaf extract, with the in vitro Costa Azul accession (nodal and internodal) outstanding, concluding that in vitro callus induction can interfere with chemical compounds of the plant. The markers detect genetic similarity under in vitro cultivation conditions. The Costa Azul accession group itself in isolation from others and EC50 concentrations differentiated between leaf and callus are obtained. O EC50 is superior in extracts deriving from in vitro callus, with the in vitro Costa Azul accession (nodal and internodal).
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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 | 0.001 | 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".