Diversity and Genetic Structure of a Natural Population of Mauritia flexuosa L. f. in APA-Pandeiros, Using Microsatellite Markers
Bibliographic record
Abstract
Genetic diversity is essential to ensure that species maintain high adaptive evolutionary potential to resist environmental stochasticity. Thus, this research aimed to estimate the genetic diversity and structure of a natural population of Mauritia flexuosa and its stages, using five microsatellite primers. DNA was extracted from leaves collected from individuals of the three classes (G1-adult, G2-juvenile and G3-regenerant). Genetic diversity estimates indicated an average of 7.8 alleles/locus and lower observed heterozygosity (Ho) than expected heterozygosity (He) in the population (0.272-0.395 and 0.275-0.401, respectively). The Shannon Index (I) indicated moderate genotypic diversity and richness in the analyzed population, and exclusive alleles were found at the different stages. Also found were a lower population index (FST = 0.019) and a higher individual fixation index (FIS = 0.169). Classes G1 and G2 exhibited greater genetic similarity to each other than to G3, which had more distant genetic characteristics. These results revealed lower genetic diversity among regenerating (G3) individuals and greater genetic diversity among adults (G1). Immediate strategies for in situ and ex situ genetic conservation of M. flexuosa are essential to preserve its genetic variability and assist future programs for the improvement.
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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 | 0.001 |
| 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".