Scanning Electron Microscopic Observation on Chalkiness of Rice Mutant OsLHT1 Grains
Bibliographic record
Abstract
Grain chalkiness greatly affects the grain appearance，milling，eating，cooking，and nutritional qualities，so it is one of the most important traits of grain qualities. To study the relationship between chalkiness of mutant of rice OsLHT1 gene and the shape, structure and arrangement of endosperm cells and starch grains, the chalkiness rate, chalkiness degree and chalkiness area of the mutant of rice OsLHT1 gene were investigated by field experiment, and the morphological structure of rice endosperm cells and starch grains were also observed by scanning electron microscope. Our results showed that the grain chalkiness character with the greatest difference between the tested mutant of OsLHT1 gene and the wild japonica rice variety Zhonghua 11 is chalkiness degree, followed by chalkiness rate, and finally chalkiness area, and there is a significant correlation between chalkiness rate and chalkiness degree. Therefore, there is a close correlation between the arrangement of endosperm cells, the distribution of starch grains and the occurrence of grain chalkiness in the mutant of OsLHT1 gene in japonica rice.
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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 | 0.000 |
| 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) | 0.002 | 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".