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Record W1991815494 · doi:10.1080/07060660909507617

Pathogenic variation of<i>Verticillium dahliae</i>after serial passages through potato and sunflower

2009· article· en· W1991815494 on OpenAlexafffundvenue
H. Alkher, Abdelbasset El Hadrami, K. Y. Rashid, Lorne R. Adam, Fouad Daayf

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Manitoba
FundersAgriculture and Agri-Food Canada
KeywordsSunflowerVerticillium wiltVerticillium dahliaeBiologyPathogenicityCultivarInoculationHorticultureHost (biology)BotanyMicrobiologyGenetics

Abstract

fetched live from OpenAlex

Verticillium wilt is a limiting factor in many field crops, including potato and sunflower. The causal agent, Verticillium dahliae Kleb., is known for its high level of diversity and pathogenic variability. In an earlier study, we showed such a high variability among isolates recovered from either potato or sunflower when inoculated on their original or alternative hosts. Verticillium dahliae isolates from potato were more aggressive on both potato and sunflower while the ones from sunflower were to a certain extent more adapted to sunflower than to potato. In the present study, we show the ability of weakly aggressive potato isolates to gain pathogenicity on either potato or sunflower when inoculated to a susceptible potato cultivar ‘Kennebec’ for four successive generations. However, some isolates showed a loss in pathogenicity after four successive passages on susceptible potato cultivar ‘Kennebec’, especially on the moderately resistant potato cultivar ‘Ranger Russet’. Results in terms of gain or loss of pathogenicity by potato and sunflower isolates are discussed in relation to the effect of successive passages through their original or alternative hosts. Key words: Verticillium dahliae Kleb., potato, sunflower, host of origin, alternative host, successive passages, pathogenicity gain/loss, pathogenicity index. La verticilliose constitue un facteur limitant pour de nombreuses cultures incluant la pomme de terre et le tournesol. L’agent causal, Verticillium dahliae Kleb., est connu pour son degré élevé de diversité génétique et de variabilité de pouvoir pathogène. Dans une étude précédente, nous avions montré la présence d’une telle variabilité entre des souches isolées soit de pomme de terre soit de tournesol, et inoculées sur leur hôte d’origine ou alternatif. Les isolats de V. dahliae provenant de pomme de terre étaient plus agressifs aussi bien sur pomme de terre que sur tournesol, tandis que ceux provenant de tournesol étaient relativement mieux adaptés sur tournesol que sur pomme de terre. Dans la présente étude, nous montrons la capacité de certains isolats peu agressifs, provenant de pomme de terre, d’acquérir un plus grand pouvoir pathogène, aussi bien sur pomme de terre que sur tournesol, après avoir été propagés pendant quatre générations sur le cultivar sensible de pomme de terre ‘Kennebec’. Par contre, après quatre passages successifs sur le cultivar ‘Kennebec’, certains isolats ont vu leur pouvoir pathogène diminuer, plus particulièrement sur le cultivar partiellement résistant ‘Ranger Russet’. Ces résultats sont discutés en termes de gain ou de perte de pouvoir pathogène, par des isolats provenant de pomme de terre ou de tournesol, dans le but d’élucider l’effet de leur passages successifs sur leurs hôtes d’origine ou alternatif. Mots-clés : Verticillium dahliae Kleb., pomme de terre, tournesol, hôte d’origine, hôte alternatif, passages successifs, gain/perte de pouvoir pathogène, index de pathogenicité.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.012
GPT teacher head0.197
Teacher spread0.184 · 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 designBench or experimental
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

Citations14
Published2009
Admission routes3
Has abstractyes

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