Genetic characterization of a<i>Tamarix</i>spp. germplasm collection in Italy
Bibliographic record
Abstract
Tamarix L. plants are tolerant to extreme environmental conditions and represent a resource for the recovery of marginal areas. The aim of this study is to develop a molecular method for species assignment and to characterize the genetic differentiation of Italian Tamarix populations. Blind sampling was performed and individuals were gathered without any regard for species identity from seven sites in Italy. If possible, flowers for species identification were collected, but 60% of samples remained unidentified. The genotypic profile of 17 microsatellite markers and a Bayesian statistical approach allowed the individuals to split among genetic entities rather than by their species identity. A clear assignment of Tamarix africana Poir. individuals was found, but this was not the case for Tamarix gallica L. and Tamarix canariensis Willd., whose individuals were clustered in a unique group (T. gallica-like). In T. africana, the Bayesian analysis of the genetic structure pointed out the existence of a unique gene pool, whereas according to principal coordinates analysis (PCOA) and F ST values, the populations from Lazio and Sardinia were more differentiated. All the analyses performed showed a differentiation between Sicily and peninsular Southern Italy in the T. gallica-like group. This study is the first to report the characterization of the natural genetic resources of Italian tamarisks and it suggests the absence of genetic differentiation between T. gallica and T. canariensis.
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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 | 0.000 |
| 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) | 0.000 | 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".