Kernel colour changes associated with field weathering of spring wheat.
Bibliographic record
Abstract
The Canadian wheat-grading system is based on visual assessment to estimate end-use quality, both for assignment to classes and to grades within classes. Extensive training and experience are required to accurately interpret visual indicators of quality. Therefore, breeding programs are attempting to develop instrumental techniques to objectively measure visual characteristics of potential new cultivars. The objective of this research was to examine colour changes associated with field weathering of wheat cultivars from the Canada Western Red Spring, Canada Western Amber Durum, and Canada Prairie Spring Red and White classes of wheat, as measured with a portable colorimeter. The class means exhibited colour differences, although the large variability within classes suggests that, used in isolation, colour measurements would not be a satisfactory means of identifying the class of individual samples. Weathering caused an increase in L* (lightness), a decrease in a* (redness), and a slight increase in b* (yellowness), and the effects were similar for all classes. Severe weathering caused loss of vitreousness in addition to bleaching, and the colour measurements reflect the integrated colour changes associated with both effects. Within each class, although there were cultivar differences for colour, the cultivars responded similarly to weathering, suggesting that breeders should simply select lines which exhibit intense, desirable colour prior to weathering. Key words: Triticum aestivum, Triticum turgidum, quality
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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 | 0.001 |
| 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".