Analysis and Screening Evaluation Indexes for Alkaline Tolerance of Rice at Germination Period in Cold
Bibliographic record
Abstract
This research conducted germination treatments of 173 materials by using a mixed alkali of concentration 0.20% Na2CO3+NaHCO3 in rice,the results showed that radicle was most sensitive to alkaline stress,the relative mean value of radicle length only was 0.267,the relative root dry weight was 0.348.Germination capacity didn't change significantly than other indicators in alkaline environment.The influence of coleoptile length was larger for different materials,but coleoptile length had nothing to do with alkaline tolerance to alkaline stress.Through analysing each index and correlation coefficient of alkaline tolerance levels,the result showed that relative germination dry weight,relative germ length,relative root dry weight,relative radicle length and relative root number were looked as important evaluation indexes of influence defined alkaline tolerance levels.The three indexes of alkaline tolerance were relative plumule length,relative germ dry weight and relative root dry weight through regression analysis at germination period in rice,and the regression equation was Y=9.234-4.506 X1-2.167 X2-2.621 X3 as judged alkaline tolerance levels.Also the judgement equation of alkaline tolerance levels was established by five evaluation indexes,they were relative plumule length,relative radicle length,relative root number,relative plumule dry weight and relative root dry weight,the regression equation was Y=11.251-3.674 7 X1-1.641 X2-1.179 X3-3.900 X4-1.973 X5,the determined results were more accurate with two regression equations to joint application.The analysis showed that exchang germplasm resources,not only riched genetic diversity,but also improved alkaline tolerance and other stress resistance of new varieries in rice.
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How this classification was reachedexpand
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 | 0.001 |
| 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 teacher head, 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".