Effect of Salt Reduction on Dough Handling and the Breadmaking Quality of Canadian Western Red Spring Wheat Varieties
Bibliographic record
Abstract
The effect of salt (NaCl) on the breadmaking quality of 37 varieties of Canadian Western Red Spring wheat (Triticum aestivum L.) was investigated along with dough stickiness for a 20 variety subset. A principal components analysis indicated that dough development time (DDT), mixing tolerance index (MTI), and stability (STA) were highly correlated. DDT showed an inverse relationship with MTI (r = –0.73) and a positive relationship with STA (r = 0.89). STA was also negatively related to MTI (r = –0.76). A reduction of salt from 2.0 to 1.1% (based on flour weight) was considered from a practical perspective. Each variety responded differently to salt reduction. Obtaining an optimal dough consistency with less salt required less work input and shorter mixing time. Overall, decreasing loaf volume with reducing salt content was observed, although certain varieties produced the opposite effect. This suggests that for a particular flour, depending on the inherent flour strength, there is a level of NaCl that produces an optimum between gluten strength and gas‐holding capacity of the dough, resulting in a loaf with good crumb texture and an even distribution of bubble sizes. A stickiness test was performed on selected varieties to evaluate the dough handling properties at 1.1 and 2.0% salt levels. The overall trend showed an increase in stickiness with a decrease in the salt content; however, certain varieties showed no change.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".