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Record W2088628836 · doi:10.2298/gsf0999059k

Aleppo pine defense against Sphaeropsis sapinea, Cronartium flaccidum and other fungal pathogens in the Mediterranean part of Montenegro

2009· article· en· W2088628836 on OpenAlexaff
Dragan Karadžić, Vladimir Vujanovic

Bibliographic record

VenueGlasnik Sumarskog fakulteta · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYeasts and Rust Fungi Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAleppo PineBiologyBotanyMontenegroEcologyPinus <genus>Geography

Abstract

fetched live from OpenAlex

Aleppo pine (Pinus halepensis Mill.) is the most widely disturbed conifer tree in native forest and plantations throughout the Adriatic coast of Montenegro. However, pathogenic fungi in the region are extremely diversified and constitute the principal threat to healthy tree growth: 15 pathogenic fungal species have beden identified in the Eumediterranean zone - a typical habitat of Aleppo pine, whereas 21 fungal pathogens occurred in northern Submediterranean zone - an atypical habitat for Aleppo pine in Montenegro. Greatest damages are inflicted by Sphaeropsis sapinea, a pathogenic generalist on pine, and Cronartium flaccidum, causal agent of rust disease on pine. The following relates, for the first time, the presence of hypersensitive response (HR) in young needles and shoots (organs rich in nitrogen) as a specific defense mechanism in Aleppo pine against Sphaeropsis sapinea, an otherwise very harmful pathogen for Austrian pine (Pinus nigra Arn.) and other pines in the Mediterranean part of Montenegro. Thus, better understanding of the ecology of S. sapinea, of C. flaccidum, as well as of associated mycobiota and mechanisms of host defense are essential for establishing measures and tools for protection of Aleppo pine ecosystems.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.554
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.240
Teacher spread0.223 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2009
Admission routes1
Has abstractyes

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