Chemical Composition of Advanced Spring Hard Wheat Lines and Their Effect on Baking Quality
Bibliographic record
Abstract
Purple wheat presents a market opportunity as functional food ingredient due to its presumed high phenolic and antioxidant contents. However, its end-use quality and the functional properties have not yet been fully evaluated. This study compared the end-use quality of select breeding lines of hard purple spring wheat to that of conventional red and white spring wheat varieties. A set of 10 lines (4 purple, 5 red, 1 white) was harvested in two locations (Guelph and Ottawa) in 2015 and 2016. The commercial CDC PrimePurple, Carberry and Snowbird varieties were selected as controls of the three different seed coat colours. Overall, the advanced purple wheat lines had significantly higher total phenolic content than the white and red wheat lines, and their performance in flour quality, dough rheology and baking tests was within the typical range of flour functionality parameters typical for a good hard spring bread wheat. The bread loaf volume obtained with purple wheat lines was in line or even exceeded the other commercial lines. This study hinted at a high functional value of the purple wheat lines for cereal processing applications, but these data need to be substantiated by further research.
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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 | 0.000 |
| 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) | 0.001 | 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".