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Record W2948569912 · doi:10.1201/9780429038471-20

Effects of Sprouting on Wheat Proteins and Baking Properties

2019· book-chapter· en· W2948569912 on OpenAlexaboutno aff
W. Bushuk, O. M. Lukow

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsnot available
Fundersnot available
KeywordsSproutingFood scienceHorticultureChemistryBiology

Abstract

fetched live from OpenAlex

Changes in the protease-gluten protein system of wheat endosperm during post-maturity germination (and sprouting) were investigated in relation to "sprouting damage" of breadmaking potential. Protease activity, which is negligible in sound wheat, increased substantially during germination under laboratory conditions. Endoprotease activity increased more than exoprotease activity. Concomitant changes in the flour proteins were consistent with the observed increase in proteolytic activity. The most significant change, in relation to breadmaking potential, was the gradual decrease in the proportion of insoluble glutenin and an equivalent increase in the proportion of soluble glutenin plus low MW. protein components. The observed changes in breadmaking potential were consistent with the changes in protein solubility. In the case of the standard quality Canadian bread wheat variety (cv. Neepawa), breadmaking potential (loaf volume) deteriorated with degree of sprouting damage. On the other hand, the variety with very strong gluten (cv. Glenlea) showed an improvement in breadmaking potential with limited sprouting damage and a subsequent deterioration with additional sprouting damage. It is concluded that changes in the protease-gluten proteins system contribute significantly to the loss of breadmaking potential during sprouting and that wheat varieties can be selected, in terms of gluten strength, for improved tolerance of sprouting damage.

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 score0.003
Threshold uncertainty score0.009

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)0.0030.001

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 head0.213
Teacher spread0.191 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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