Screening of Sugar Beet Low Temperature Tolerance Germplasm and Identification on Seedling Cold Hardiness
Bibliographic record
Abstract
Using artificial climate box,to take the resistance to low temperature germination screening methods,50 diploid sugar beet germplasm resources were tested.Chilling tolerance index in Bud stage of 12 low temperature resistant germplasm resources is more than 0.76.it was found that the performance of 12 diploid materials resistance to cold damage were similar to Bud stage through appraisal by seedling cold tolerance,but speed and persistent of individual response to low temperature were different.Six materials had a greater tolerance to seedling cold treatments.Experiment proved that seedling cold damage threshold temperature of sugar beet was 3-6 ℃,under this temperature range,strong cold-endurance germplasm was not sensitive,but weak cold-endurance was sensitive.Cold extreme temperature of diploid materials was 1-2 ℃,growth of strong cold-endurance germplasm was stagnant;Cotyledon became shrunk and curly;the leaves and hypocotyl seemed scalded,gradual to death.For weak cold-endurance materials,Chilling injury symptoms appeared earlier,and distortion and death appeared soon.
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.
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 | 0.000 | 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 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".