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Record W2049676829 · doi:10.4141/p02-072

The effect of extra-strong gluten on quality parameters in durum wheat

2003· article· en· W2049676829 on OpenAlexafffundvenueabout
Nancy Ames, J. M. Clarke, B. A. Marchylo, J.E. Dexter, L. Schlichting, S. M. Woods

Bibliographic record

VenueCanadian Journal of Plant Science · 2003
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsCanadian International Grains InstituteAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsGlutenCultivarTexture (cosmology)Food scienceViscoelasticityChemistryBotanyBiologyMaterials scienceComposite materialArtificial intelligence

Abstract

fetched live from OpenAlex

Durum wheat (Triticum durum L.) cultivars with extra-strong gluten characteristics have become a unique quality type preferred by several domestic and international pasta processors. Durum genotypes with extra-strong gluten characteristics were compared to conventional gluten strength types to determine the relative levels of gluten strength and the importance of this characteristic in pasta quality. All extra-strong genotypes had similar gluten index levels that were significantly greater than cultivars traditionally grown in western Canada. For improved endproduct texture, the level of gluten strength appeared to be less important than protein content and wet gluten weight, which were the variables most closely linked to spaghetti viscoelasticity. The general positive relationships between texture and protein content of high temperature dried spaghetti followed the findings of previous studies. However, extra-strong gluten genotypes with lower protein content could not match the superior texture characteristics obtained with higher protein conventional strength cultivars. When dried at 70°C, pasta texture, measured as viscoelastic properties, was dependent on gluten strength rather than protein content, so the higher gluten strength types had an advantage even at lower protein levels. While the relationship between gluten strength and texture of low temperature dried products has been noted previously, this study shows that this relationship is somewhat dependent on having a range of gluten strength types present. Although there was a positive relationship between spaghetti viscoelasticity and protein content, and between pasta disc viscoelasticity and gluten strength, there appeared to be a negative relationship between gluten strength and protein quantity factors. Scatter plot matrices of the means indicated the negative correlation was likely due to clustering of similar genotypes, but that a positive relationship was apparent within the extra-strong gluten types. Key words: Wheat (durum), Triticum durum, pasta quality, extra-strong gluten

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)0.002
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 score0.586
Threshold uncertainty score0.687

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.030
GPT teacher head0.265
Teacher spread0.236 · 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

Citations21
Published2003
Admission routes4
Has abstractyes

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