Application of synchrotron imaging techniques for study of changes in microstructural and nutritional properties of different wheat classes in storage
Bibliographic record
Abstract
Preserving the quality and integrity of wheat during storage is crucial for food security and industry applications. Eight wheat varieties of different classes were stored for 8 weeks at 17% moisture content (wet basis) before data acquisition using synchrotron phase contrast micro tomography, synchrotron X-ray fluorescence imaging, and mid-IR spectroscopy at the Canadian Light Source, Saskatoon, Canada. Differentiation of wheat is possible based on changes in the microstructure of selected wheat classes. Minimum changes in microstructure were observed in Canada Western Extra Strong (CWES), Canada Northern Hard Red (CNHR), Canada Western Red Winter (CWRW), Canada Western Special Purpose (CWSP), and Canada Prairie Spring White (CPSW) classes of wheat, suggesting that these could perform better in storage. The existing condition of kernel microstructure strongly influences the performance of wheat in storage, which is a significant outcome of this study. The micronutrients distribution and biochemical composition were affected at the end of 8 weeks of storage in deteriorated wheat classes Canada Prairie Spring Red (CPSR), Canada Western Hard White Spring (CWHWS), Canada Western Soft White Spring (CWSWS), and Canada Western Extra Strong (CWES). Data could also help plant breeders to develop varieties that do not spoil easily, improve grain processing techniques, and develop post-harvest recommendations. • Synchrotron imaging reveals wheat microstructure changes during 8-week storage. • CWES, CNHR, CWSP wheat classes showed minimal deterioration in storage. • CPSR and CWSWS wheat classes had significant microstructural damage. • Nutrient distribution and biochemistry altered in deteriorated wheat classes. • Study aids in improving wheat storage practices and breeding resilient varieties.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".