Effect of High Night Temperature During Grain Filling on Amyloplast Development and Grain Quality in Japonica Rice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT High‐quality japonica rices Yujing 6 and Fangxin 4 were cultured under ambient night temperature (ANT, 19.7°C) and high night temperature (HNT, 26.7°C) in a greenhouse for the analysis of amyloplast development and grain quality during the grain‐filling stage. Results indicated that the HNT treatment had distinct effects on the grain‐filling rate of Yujing 6 and Fangxin 4 1–10 days after anthesis. HNT increased the rate of grain filling by 9.89–40.45% and decreased the accumulation of grain‐filling matter, resulting in inferior appearance and poor milling qualities (e.g., brown rice rate, milled rice rate, head rice rate, imperfect rice rate, chalky rice rate, and chalkiness degree). Results from a rapid viscosity analyzer showed that the HNT treatment decreased the paste viscosity, depending on the rice cultivar. Differential scanning calorimetry results indicated that the gelatinization temperatures of HNT such as onset temperature, peak temperature, and final temperature were all significantly higher than those of ANT. However, HNT had no distinct effects on the X‐ray diffraction pattern of rice starch.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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 it