MétaCan
Menu
Back to cohort
Record W1565601877 · doi:10.5109/14030

Occurrence of Bacterial Brown Stripe of Creeping Bentgrass on Golf Course Green in Kyushu

2009· article· en· W1565601877 on OpenAlexaff
Naruto Furuya, Takaya Ito, Kenichi Tsuchiya

Bibliographic record

VenueJournal of the Faculty of Agriculture Kyushu University · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsNutrasource
Fundersnot available
KeywordsCourse (navigation)BiologyAstronomyPhysics

Abstract

fetched live from OpenAlex

A bacterial disease of creeping bentgrass (Agrostis stolonifera L.) was observed in golf course in Fukuoka Prefecture, Kyushu, Japan in 2000. It was characterized by brown stripes of the leaf sheaths. A non.fluorescent, aerobic, Gram.negative bacterium was consistently isolated from the infected plants. Infiltration of ten of the isolates into tobacco leaves resulted in a typical hypersensitive reaction. When creeping bentgrass plants were inoculated with the suspect isolates, typical bacterial brown stripe symptoms similar to those after natural infections were reproduced. The pathogen was reisolated from infected leaves two weeks after inoculation, thereby fulfilling the Koch’s postulates. A sequence analysis of the genes coding for 16S rDNA revealed that the bacterium closely related to Acidovorax sp. On the basis of biochemical and physiological tests, the bacterium was identified as A. avenae subsp. avenae. The bacterium was pathogenic to Sorghum sudanense, S. vulgare, Zea mays, Avena sativa, Lolium multiflorum, Tricum aestivum, and Hordeum vulgare. It was only weakly pathogenic to Oryzae sativa and Panicum maximum. It was not pathogenic to P. coloratum, Astragalus sinicus, Desmodium intortum, Medicago sativa and Lotus cornicolatus. This is the first report of bacterial brown strip of creeping bentgrass caused by A. avenae subsp. avenae occurred in Kyusyu.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.310

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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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

Citations7
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Faculty of Agriculture Kyushu UniversitySame topicPlant Pathogens and Fungal DiseasesFrench-language works237,207