Fermentability of Canadian Two-Row Barley Malt: Wort Turbidity, Density, and Sugar Content as Measures of Fermentation Potential
Bibliographic record
Abstract
The primary goal of this study was to investigate and compare the fermentation performance of malt produced from eleven Canadian two-row barley varieties grown during the 2007 and 2008 crop seasons. Common malting varieties tested included Harrington, AC Metcalfe, CDC Copeland, CDC Kendall, and feed varieties CDC Dolly, CDC Bold, CDC Helgason and McLeod. As well, three experimental varieties, TR251; TR306; and BM9752D-17, were included in this study due to their varied display of enzymatic activity; of chief interest was the ?-amylase thermal stability. Fermentations were carried out using the standard miniaturized fermentation assay and SMA yeast. Apparent Extract (AE), absorbance, fermentable carbohydrates, and ethanol were measured throughout fermentation. Attenuation, carbohydrate and ethanol data were modeled using the logistic equation, and absorbance data was modeled using the newly developed Tilted Gaussian equation. Results indicate that all but the feed varieties fermented well, achieving low final attenuation, and exhibiting similar fermentation characteristics. Despite only minor performance differences among the top fermenters, it was found that between crop seasons both AC Metcalfe and CDC Copeland fermented as well or better than Harrington, as measured by their respective Apparent Degree of Fermentation (ADF). Harrington displayed substantial performance variation between seasons, while test variety BM9752D-17 fermented the most consistently between years, displaying enhanced fermentation to that of Harrington in 2008. Despite high ?-amylase thermostability, BM9752D-17 did not display enhanced fermentation performance to that of CDC Copeland or AC Metcalfe.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".