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Record W2291062562

Studies on soil application of Stagonospora cirsii, a candidate for biological control of Cirsium arvense

2006· article· en· W2291062562 on OpenAlexaboutno aff
Е. Л. Гасич, Alexander Berestetskiy

Bibliographic record

VenueAgronomy Research · 2006
Typearticle
Languageen
FieldChemistry
TopicChemical synthesis and alkaloids
Canadian institutionsnot available
Fundersnot available
KeywordsCirsium arvenseThistleBiologyWeedPerennial plantBiological pest controlAgronomyPopulationWeed controlConidiumFungusBotanyInoculationHorticulture
DOInot available

Abstract

fetched live from OpenAlex

Stagonospora cirsii, a causal agent of Canada thistle (Cirsium arvense) leaf spot, is under development as a biological control agent for this perennial noxious weed. S. cirsii had impact as a foliar spray and it proved highly pathogenic if applied at soil surface. Since Canada thistle is a perennial weed with a very vigorous root system, the ability of fungus to survive in soil and infect roots would greatly improve its potential as a mycoherbicide. Research was conducted to study the S. cirsii population dynamics in sterile soil, on the possibility of infecting Canada thistle creeping roots ed with the fungus, and its ablity to survive after being incorporated into/on the soil after over-wintering. The population dynamic was studied by dilution technique. In our experiments we used 10 g and 400 g of sterile field sod-podsol soil. At two initial inoculation concentrations about 10 3 and 10 6 conidia g -1 of soil the CFU amount in 1 g soil gradually were stabilized at a level about 10 5 g -1 of soil. The population density on this level was stable for 6 months. Inoculation of the creeping roots at different stages of their development (creeping roots with buds/rosettes/young roots) in laboratory conditions showed that fungus can infect leaves only in rosettes. It seems, under natural conditions, infection of Canada thistle root system with S. cirsii is not possible. However, S. cirsii maintains viability under various conditions of over-wintering (above/under/on ground).

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.063
GPT teacher head0.348
Teacher spread0.285 · 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 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

Citations5
Published2006
Admission routes1
Has abstractyes

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