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Record W2052712105 · doi:10.1080/09583150050044556

Oxalic Acid Production and Mycelial Biomass Yield of Sclerotinia minor for the Formulation Enhancement of a Granular Turf Bioherbicide

2000· article· en· W2052712105 on OpenAlexaff
S. C. Brière, Alan K. Watson, Steve G. Hallett

Bibliographic record

VenueBiocontrol Science and Technology · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant pathogens and resistance mechanisms
Canadian institutionsMcGill University
Fundersnot available
KeywordsOxalic acidMyceliumBioherbicideLaboratory flaskBiologyFungusDry weightBotanySclerotiniaFood scienceHorticultureMicrobiologyChemistryBiochemistry

Abstract

fetched live from OpenAlex

The fungus Sclerotinia minor is presently under development in this laboratory as a granular bioherbicide for broadleaf weed species. With a view to enhancing the virulence of the fungus, the effect of increasing endogenous oxalic acid concentration through modification of the growth conditions was investigated. S. minor was grown in 125 ml of eight different liquid culture media in shake flasks incubated at 20°C for 7 days. The final pH, mycelial dry weight, and oxalic acid content of the spent growth media were determined and the virulence of S. minor grown on each solid culture medium was screened on detached dandelion leaves. A 330% increase in oxalic acid was obtained plus 56 mM of sodium succinate to Modified Richard's solution (MRS) as compared to MRS alone. A concomitant increase in virulence of 218% was expressed as increased lesion diameter.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.001

Distilled classifier scores by category (both heads)

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 head0.013
GPT teacher head0.202
Teacher spread0.189 · 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 source (direct Gemma or distilled Codex), 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

Citations37
Published2000
Admission routes1
Has abstractyes

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