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Record W2080287055 · doi:10.1094/pdis-02-12-0127-pdn

First Report of Leaf Spot of Kentucky Bluegrass (<i>Poa pratensis</i>) Caused by <i>Nigrospora oryzae</i> in Ontario

2012· article· en· W2080287055 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePlant Disease · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicTurfgrass Adaptation and Management
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiologyPoa pratensisAgrostis stoloniferaConidiumBotanyMyceliumPotato dextrose agarLeaf spotHorticulturePoaceaeAgar

Abstract

fetched live from OpenAlex

Kentucky bluegrass (Poa pratensis L.) is an important cool-season perennial grass in Ontario. It is native to Europe and can form an attractive and durable turf. In late September 2011, distinct leaf spots were observed on a Kentucky bluegrass lawn in Guelph, ON. Symptoms ranged from small lesions that were chocolate brown and oval or circular up to withered leaves. On potato dextrose agar (PDA) amended with streptomycin and tetracycline, a fungus was consistently recovered from symptomatic leaf samples after surface sterilization for 1 min in 1% sodium hypochlorite. On PDA, cultures were gray with an irregularly distributed, wool-like, fastgrowing aerial mycelium, showing a dark back side as the colony changed to darker brown after 7 days at 25°C. On diseased leaves, conidia were observed after moist incubation, borne on a hyaline vesicle at the tip of each conidiophore. Conidia were single celled, black, smooth, spherical, and 11.2 to 15.5 μm (average 13.8 μm) in diameter. The pathogen was identified as Nigrospora oryzae based on previous descriptions (1,2). Genomic DNA was extracted from a representative isolate, 11201, and the internal transcribed spacer (ITS) region of the ribosomal DNA was amplified by the primers ITS1 and ITS4 (4). The ITS sequence showed 99.8% similarity in the overlapping 508-bp portion with N. oryzae (GenBank No. GQ328855). Pathogenicity tests were performed in the laboratory with the isolate on 3-week-old, sand-based, Magenta box-grown plants of three cool-season turfgrass species, P. pratensis, Agrostis stolonifera, and Lolium perenne, by inoculating with fungal plugs. A 5-mm-diameter plug from 5-day-old PDA cultures was directly placed onto leaves in each of four replicate boxes per species, and then removed after 48 h of incubation. Plants treated with sterile agar plugs served as controls. Magenta boxes containing treated turf were covered loosely with their plastic lids and incubated at 23°C. Three days after inoculation and 1 day after inoculum removal, typical chocolate brown spots were observed on inoculated leaves from all three turfgrass species, but no symptoms were seen on agar plug-treated control plants. Koch's postulates were fulfilled by reisolation of N. oryzae from diseased leaves. The pathogenicity tests were carried out twice with the same results. This is an indication that N. oryzae causing leaf spot of Kentucky bluegrass in Ontario was not hostspecific, and could potentially affect other cool-season turfgrass species. Review of the literature revealed that N. oryzae is known as a pathogen on maize, rice, sorghum, cotton, weeds, and several other hosts, but has not been reported on any species of turfgrass (3). To our knowledge, this is the first report of N. oryzae infecting Kentucky bluegrass in Ontario or worldwide. References: (1) M. B. Ellis. Dematiaceous Hyphomycetes, CAB, Kew, Surrey, England, 1971. (2) H. J. Hudson. Trans. Brit. Mycol. Soc. 46:355, 1963. (3) R. W. Smiley et al. Compendium of Turfgrass Diseases. 3rd ed. APS Press, St Paul, MN, 2005. (4) T. J. White et al. PCR Protocols: A Guide to Methods and Applications. Academic Press, San Diego, 1990.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score1.000

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)0.0010.000

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 head0.013
GPT teacher head0.198
Teacher spread0.185 · 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