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Évaluation de la structure et de la variabilité génétiques des populations naturelles du pin d'Alep (<i>Pinus halepensis</i>Mill.) au Maroc à l'aide de marqueurs isoenzymatiques

2010· article· fr· W2325324998 on OpenAlexaff
Nadya Wahid, Hicham Jouidre, Mohammed S. Lamhamedi, Abdenbi Zine El Abidine, Adelali Boulli

Bibliographic record

VenueActa Botanica Gallica · 2010
Typearticle
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsMinistère des Ressources naturelles et des Forêts (Québec)Université Laval
Fundersnot available
KeywordsGenetic diversityOverexploitationAleppo PineBiologyGenetic structureForestryPopulation structureGeographyMediterranean climatePopulationGenetic variabilityEcology

Abstract

fetched live from OpenAlex

Aleppo pine (Pinus halepensis Mill.) is a species threatened by anthropogenic overexploitation due to climate change. To contribute to its conservation, we evaluate the structure and the genetic diversity of the natural pine populations. We studied the genetic diversity of 14 populations (Rif, Middle Atlas, eastern Morocco and High Atlas) using an isoenzymatic marker. The results of the analysis indicated that the genetic variation of pine in Morocco is modest in comparison with other Mediterranean provenances. However, the study revealed a high coefficient of differentiation among populations (Fst = 9.5%). Two main population groups were identified based on genetic distances: South—West and North-East.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.278
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2010
Admission routes1
Has abstractyes

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