Starch granule size distribution from twelve wheat cultivars in east China’s Huaibei region
Bibliographic record
Abstract
The granule size distribution of starch strongly influences its physicochemical properties and the functionality of wheat. Twelve wheat cultivars grown in east China’s Huanghuai region were used for investigating the granule size distribution, amylose content, and their interrelationship. The results showed that the volume distribution of starch granules show the typical bimodal with peak values in the ranges of 4.44–5.36 µm and 21.7–23.82 µm, respectively. Surface area distribution of granules was also bimodal with peak values in the ranges of 2.53–3.06 µm and 19.8–21.7 µm, respectively. The limits between the two populations both occurred at 10 µm. A typical population of number distribution of granules with peak values in the range of 0.52–0.67 µm. Proportions of granules <2.6 µm, 2.6–10 µm, and 10–40 µm were in the range of 10.06–13.63%, 28.54–41.6%, and 45.4–61.3% of total volume, respectively. Proportions of granules <10 µm were in the range of 99.9% of the total number. The amylose content was significant and negatively correlated to volume percentage of granule <10 µm, and significant and positively correlated to the volume percentage of granule 22–40 µm.
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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 | 0.001 | 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 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".