SCREENING AND IDENTIFICATION OF RICE GERMPLASMS WITH COLD-RISISTANCE AT SEEDLING STAGE
Bibliographic record
Abstract
13 rice germplasm displaying cold resistance at seedling stage including 3 Indica varieties and 10 Japonica varieties have been identified from 84 varieties in Micro-core Rice Collection screened by natural low temperature.Further cold treatment in climate chamber showed that cold resistance of above 13 rice germplasms reached level of 1 to 4,of which Japonica 87-304 reached level 1 under continuous low temperature treatment.In altered low temperature condition,the leaves of cold sensitive varieties Sanbaili and Jiabala were scorched and died gradually after recovery to room temperature,but leaves of cold resistant varieties Guihuahuang and Sujiang 2 were not scorched distinctly.The extent of leaf curling and chlorophyll fading under cold stress within a comparatively short period could be applied as an efficient index for identification of cold resistance during seedling stage.The research provides novel rice germplasm for cold resistance breeding and a basis for cloning cold resistance genes in 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) | 0.001 | 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".