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Record W7019155126

Factors involved in virulence variation of Sclerotinia minor and formulation improvement

2017· dissertation· en· W7019155126 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2017
Typedissertation
Languageen
FieldEnvironmental Science
TopicTurfgrass Adaptation and Management
Canadian institutionsnot available
Fundersnot available
KeywordsBioherbicideWeedDandelionSclerotiniaTaraxacum officinaleFungusOxalic acidSunflower
DOInot available

Abstract

fetched live from OpenAlex

Dandelion (Taraxacum officinale) is a widely distributed weed in turfgrass in North America. Standard chemical herbicides have been banned from use in urban environments in most regionsin Canada since 2007 which hard-pressed the need to discover environmentally friendly methods for weed managemnet. Sarritorr is a fungus-based (Sclerotinia minor) bioherbicide targeting dandelion and other broadleaf weeds in turfgrass. Sclerotinia minor is a soil-borne fungus that invades and lyses plant tissues and produces sclerotia as a resting, survival, reproductive structure. Sclerotia formation rarely occurred when the Sarritor bioherbicide was used to control weeds on turfgrass. However, S. minor is known to be a serious pathogen of lettuce, peanut, and sunflower crops. Disease in lettuce and other crops starts below the soil surface by infecting the roots and root crowns and the fungus proceeds to decay entire lettuce plants and release numerous sclerotia back into the farmers' soil. In order to explore the factors involved in sclerotia development, different quantities of substrate biomass and infection position were compared on dandelion and lettuce plants. Results indicate that sclerotia development was related to substrate biomass, infection site and the plant species. Not all broadleaf species are equally susceptible to the S. minor bioherbicide. Dandelions are susceptible, plantains less susceptible and turf grasses, fortunately, are not harmed by S. minor. Oxalic acid (OA) is a key infection factor for S. minor and oxalic oxidase (OxO) is known to catalyze oxalate to hydrogen peroxide and carbon dioxide. Studies have shown increasing OxO activities in susceptible plants led to the reduction in the level of disease caused by S. minor and related pathogens. Dandelion, broadleaf plantain, narrowleaf plantain and Kentucky bluegrass were assayed for OxO to examine the relationship between OxO activities in the host plants and susceptibility to S. minor. Dandelion (susceptible) had the highest level of OxO activity followed by the two plantains, while Kentucky bluegrass (resistant) had the lowest OxO activity. The standard Sarritorr formulation was ground barley grits (1.4 mm-2.0mm) colonized by S. minor. Barley is an easily acquired substrate, but the grinding process is costly and time-consuming for laboratory production of bioherbicide product. Several alternatives to barley: millet, couscous and rice were studied as alternative substrates for the production of S. minor bioherbicide. Viability and virulence of these granular formulations were evaluated on agar media, on detached leaves and in field test plots. Millet was determined to be the ideal substitute among the tested substrates to replace barley. The millet formulation was as efficacious as barley formulation and much easier to produce.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.024
GPT teacher head0.239
Teacher spread0.214 · 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 designObservational
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

Citations0
Published2017
Admission routes1
Has abstractyes

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