Rapeseed Planting as Green Manure Improving Rice Growth and Production
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
In order to understand the effects of rapeseed planting as green manure on the growth and yield of rice cultivar ‘Qing xiang ruan geng’, a rapeseed cultivar ‘Huyou21’ were used as green manure returning to field at flowering stage. The results showed that the rice plant height and chlorophyll content increased under the treatment of rapeseed returning as green fertilizer, and also increased under 20% fertilizer reduction after rapeseed returning to field. With the amount of rapeseed returning increased, the rice yield and the yield-component traits including grains per panicle and productive panicles number increased, while the 1000-grain weight deceased, but there was no statistical difference. In addition, when the rapeseed returning amount was 22.5 t/hm 2 , the rice yield was increased significantly, and also increased under that condition with 20% fertilizer reduction.
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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 | 0.000 |
| 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