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Record W2064049726 · doi:10.1080/07060660409507155

Leaf spot on switch grass ( <i>Panicum virgatum</i> ), symptoms of a new disease caused by <i>Bipolaris oryzae</i>

2004· article· en· W2064049726 on OpenAlexvenueno aff
J. M. Krupinsky, J. D. Berdahl, Conrad L. Schoch, Amy Y. Rossman

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBioenergy crop production and management
Canadian institutionsnot available
Fundersnot available
KeywordsPanicum virgatumLeaf spotBiologyAgronomyPanicumBipolarisRhizoctoniaDry rotBotanyBioenergyBiotechnologyRhizoctonia solani

Abstract

fetched live from OpenAlex

Switch grass (Panicum virgatum) is a native, perennial warm-season grass used for hay, summer grazing, soil conservation, and wildlife habitat. It is also being developed as a biomass crop for renewable energy. A previously unreported leaf-spot disease on switch grass was observed in North Dakota plantings. From 1999 to 2002, a fungus was consistently isolated from leaf spots on switch grass. It was identified as Bipolaris oryzae (teleomorph: Cochliobolus miyabeanus). Conidial morphology agreed with that of B. oryzae, and comparison of DNA sequences from glyceraldehyde-3-phosphate dehydrogenase also indicated that the isolates were B. oryzae. Greenhouse pathogenicity tests confirmed the ability of B. oryzae to cause symptoms of leaf spot on switch grass. This is the first time that B. oryzae, a common pathogen on rice (Oryza sativa), is reported to cause a disease on switch grass. This pathogen has the potential to diminish yields of switch grass under intensive plantings for high biomass production, particularly if a susceptible cultivar is seeded over a wide area. Additionally, Bipolaris zeae (teleomorph: Cochliobolus zeae) was isolated from switch grass, a new host for this fungus, and is herein reported for the first time from the United States.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score0.970

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 head0.011
GPT teacher head0.183
Teacher spread0.172 · 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 designNot applicable
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

Citations41
Published2004
Admission routes1
Has abstractyes

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