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Record W7071412940

Snow Mold Disease Control on Creeping Bentgrass November 2003 - May 2004

2021· report· en· W7071412940 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2021
Typereport
Languageen
FieldEnvironmental Science
TopicTurfgrass Adaptation and Management
Canadian institutionsnot available
Fundersnot available
KeywordsSnowSnowmeltFungicidePerennial plantInoculationTebuconazole
DOInot available

Abstract

fetched live from OpenAlex

Eleven chemical and control treatments were evaluated on a 102-year-old sward of creeping bentgrass in southern Ontario during November 2003 to May 2004 for grey and pink snow mold control. Separate sets of plots were inoculated with Typhula incarnata or Typhula ishikariensis for grey snow mold, or Microdochium nivale for pink snow mold. The fungicides tested included: Quintozene (250 g /100 m2), which is registered and recommended for controlling snow mold diseases of turfgrass in Ontario, plus nine other treatments involving chemicals provided by Syngenta for grey and pink snow mold control. All treatments were applied 26 November 2003 over bare ground. Inoculum was applied on 28 November 2003. Biotic plus abiotic injury was assessed as winter injury weekly from 25 March (snowmelt) until 7 May (greenup). After snowmelt and at greenup, Daconil 2787 + Medallion (103 ml + 15 g/100 m2 ), Banner Maxx + Medallion (103 ml + 15 g/100 m2), and Banner Maxx + Daconil 2787 (103 ml + 240 ml/100 m2), all provided excellent results with significant suppression of both snow molds, and overall winter injury less than 10% area affected. Daconil 2787 (500 ml/100m2) showed excellent suppression at both snowmelt and greenup except for non- significant suppression of winter injury on plots inoculated with Typhula incarnata. Medallion (15 g/100 m2) provided excellent results at greenup for both snow molds; at snowmelt, there was significant winter injury suppression on plots inoculated with Microdchium nivale or Typhula ishikariensis, but not Typhula incarnata. Daconil 2787 (240 ml/100 m2) showed very good results for pink snow mold control, but the winter injury on grey snow mold plots was not significantly different than the inoculated control. Banner Maxx (206 ml/100 m2) also provided excellent suppression except on plots inoculated with Typhula ishikariensis. Banner Maxx (103mL/100m2) did not show any significant suppression at snowmelt, but by greenup, the plots inoculated with Microdochium nivale or Typhula incarnata were had significantly less injury than the inoculated control.. Quintozene (250 g/100 m2) also provided good results with the exception Typhula ishikariensis plots at snow melt. Attempts to isolate the inoculated pathogen species from injured grass in each inoculated control plot were successful except for one block inoculated with Typhula ishikariensis, demonstrating the presence of the inoculated pathogens. Winter injury results for 25 March and 7 May 2004, plus pathogen isolation results are presented.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.852
Threshold uncertainty score0.994

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.021
GPT teacher head0.225
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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

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