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Record W2103292134 · doi:10.1139/b99-175

Préparation d'un substrat de culture pour le strophaire (<i>Stropharia rugoso-annulata</i>) par trempage de résidus ligno-cellulosiques agricoles

2000· article· en· W2103292134 on OpenAlexvenueno aff
Michèle Bonenfant-Magné, Christian Magné, Cécile Lemoine

Bibliographic record

VenueCanadian Journal of Botany · 2000
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsStalkMushroomStrawNutrientChemistryAgricultural wasteSubstrate (aquarium)Food scienceHorticultureContaminationAgronomyBiologyWaste managementOrganic chemistry

Abstract

fetched live from OpenAlex

Because of the enzymatic make-up of Stropharia, a cultivated and edible mushroom, it is capable of using agricultural wastes as substrates for growth. Different substrates and methods of preparation are compared in order to improve the resistance of the mushroom to fungal contamination by reducing soluble carbon and nitrogen content. The substrates (wheat straw, corn stalk, or wastes from pea plants) were soaked at various temperatures and durations in order to eliminate soluble nutrients. High temperatures are more efficient for a rapid depletion of free nitrogen compounds. The best substrate used for the first time in mushroom cultivation was the agricultural waste from Pisum. Because of its naturally high content of soluble nutrients, this substrate needs to be soaked in hot water to reduce contaminations. Yields of Stropharia (220 g/kg) are higher and more regular than those obtained on conventional substrate (straw). On corn stalk, a high contamination rate was found, as well as relatively poor yields.Key words: mushroom, Stropharia, substrate, waste, yield, fungal contamination.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.687

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 head0.007
GPT teacher head0.223
Teacher spread0.216 · 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 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

Citations4
Published2000
Admission routes1
Has abstractyes

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