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Record W7014404546

The pinewood nematode: a major invasive pest of European pine forests.

2011· other· en· W7014404546 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2011
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPhytosanitary certificationBursaphelenchus xylophilusWilt diseaseQuarantinePEST analysisOutbreakWiltingPinus pinaster
DOInot available

Abstract

fetched live from OpenAlex

The pinewood nematode (PWN), Bursaphelenchus xylophilus, is responsiblefor pine wilt disease (PWD), a serious disease of forest tree species, in particular among the genus Pinus. It has been designated as a quarantine species in Europe (Directive 77/93 EEC). The first external symptomsare the yellowing and wilting of the needles, leading to death of the tree in case of heavy attack. The nematode is native to North America, but this species is not considered as a primary pathogen of native forests in the USA and Canada. On the contrary, in countries where the PWN has been introduced, PWD has rapidly become an important disease. In Japan, B. xylophilus was identified as the causal agent of dramatic pine mortality in the late 1960s, and is currently the number one forest pest, with an annual loss of pine trees estimated at one million cubic meters. Asian countries other than Japan began to report the presence of the PWN in the mid- to late-1980s. In 1999, the PWN was reported for the first time in Europe, in declining maritime pine (P. pinaster) in the Setubal region of Portugal. Although a national phytosanitary strategy of eradication was implemented by the Portuguese authorities, new outbreaks have been reportedsince 2008 in the Iberian Peninsula (center of Portugal, and center and North of Spain) and in Madeira island. The tree species that are the most susceptible to PWN are mainly Pinus spp., although the host list also includes species of Abies, Chamaecyparis, Cedrus, Larix, Picea and Pseudotsuga.In particular, the European species P. pinaster, P. sylvestris and P. nigra are known to be killed by the PWN as mature trees in the field. Very recently, the EU collaborative project REPHRAME (KBBE.2010.1.4-09) has been launched, its objectives being the development of improved methods for detection, control and eradication of PWN in support of EU Plant Health policy. Although an Asian origin is suspected for the first introduction in Portugal, the invasion routes of the PWN in Europe remain largely unknown. In the framework of REPHRAME, we will use a set of microsatellite markers identified from the nematode genome to locally characterise the populations and their genetic relationships, based on direct field sampling but also on retrospective analysis of the variability in the existing distribution of PWN in Portugal and Spain. The data will be matched and compared with results from other molecular analysis already performed. These studies will help solvebasic questions such as the comparison of the different introduction and dissemination scenarios for the PWN European populations.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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 head0.072
GPT teacher head0.365
Teacher spread0.294 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2011
Admission routes1
Has abstractyes

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