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Record W2519307531 · doi:10.1111/efp.12290

Global geographic distribution and host range of <i>Dothistroma</i> species: a comprehensive review

2016· review· en· W2519307531 on OpenAlexaff
Rein Drenkhan, V. Tomešová‐Haataja, Stuart Fraser, Rosie E. Bradshaw, Petr Vahalík, Martin Mullett, Jorge Martín‐García, L. S. Bulman, Michael J. Wingfield, Thomas Kirisits, T. L. Cech, Sophie Schmitz, R. Baden, Katherine Tubby, A. V. Brown, Маргарита Георгиева, Alexandra Woods, Rodrigo Ahumada, L. Jankovský, Iben Margrete Thomsen, Kalev Adamson, Benoît Marçais, Martti Vuorinen, P. Tsopelas, A. Koltay, Ágnes Halász, Nicola La Porta, N. Anselmi, R. Kiesnere, Svetlana Markovskaja, Audrius Kačergius, Irena Papazova–Anakieva, Mihajlo Risteski, Kiril Sotirovski, Jelena Lazarević, Halvor Solheim, P Boroń, Helena Bragança, D. Chira, Dmitry L. Musolin, А. В. Селиховкин, Timur S. Bulgakov, Nenad Keča, Dragan Karadžić, Vladislava Galović, Predrag Pap, Miroslav Marković, Leopold Poljaković Pajnik, Verica Vasić, Emília Ondrušková, Barbara Piškur, Dušan Sadiković, Julio Javier Díez, Alejandro Solla, Hanna Millberg, Jan Stenlid, Alexander Angst, Valentin Queloz, A. Lehtıjärvı, H. T. Doğmuş‐Lehtijärvi, Funda Oskay, Kateryna Davydenko, Valentyna Meshkova, Douglas A. Craig, Stephen Woodward, Irene Barnes

Bibliographic record

VenueForest Pathology · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsMinistry of Forests
Fundersnot available
KeywordsPinaceaeBiological dispersalBiologyPinus radiataHost (biology)EcologyBlightRange (aeronautics)Species distributionTaxonWoody plantPinus <genus>BotanyHabitatDemography

Abstract

fetched live from OpenAlex

Summary Dothistroma needle blight (DNB) is one of the most important diseases of pine. Although its notoriety stems from Southern Hemisphere epidemics in Pinus radiata plantations, the disease has increased in prevalence and severity in areas of the Northern Hemisphere, including Europe, during the last two decades. This increase has largely been attributed to expanded planting of susceptible hosts, anthropogenic dispersal of the causative pathogens and changes in climate conducive to disease development. The last comprehensive review of DNB was published in 2004, with updates on geographic distribution and host species in 2009. Importantly, the recognition that two species, Dothistroma septosporum and D. pini, cause DNB emerged only relatively recently in 2004. These two species are morphologically very similar, and DNA‐based techniques are needed to distinguish between them. Consequently, many records of host species affected or geographic location of DNB prior to 2004 are inconclusive or even misleading. The objectives of this review were (i) to provide a new database in which detailed records of DNB from 62 countries are collated; (ii) to chart the current global distribution of D. septosporum and D. pini; (iii) to list all known host species and to consider their susceptibility globally; (iv) to collate the published results of provenance trials; and (v) to consider the effects of site factors on disease incidence and severity. The review shows that DNB occurs in 76 countries, with D. septosporum confirmed to occur in 44 and D. pini in 13. There are now 109 documented Pinaceae host taxa for Dothistroma species, spanning six genera (Abies, Cedrus, Larix, Picea, Pinus and Pseudotsuga), with Pinus being the dominant host genus, accounting for 95 host taxa. The relative susceptibilities of these hosts to Dothistroma species are reported, providing a resource to inform species choice in forest planting. Country records show that most DNB outbreaks in Europe occur on Pinus nigra and its subspecies. It is anticipated that the collaborative work described in this review will both underpin a broader global research strategy to manage DNB in the future and provide a model for the study of other forest pathogens.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.271
Teacher spread0.254 · 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
GenreReview

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

Citations107
Published2016
Admission routes1
Has abstractyes

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