Study on the Seed Water Absorption Characteristics and Germinating Temperature of Bromus rigidus Roth
Bibliographic record
Abstract
A study on the seed water absorption characteristics and germination of Bromus rigidus Roth in the different temperature conditions showed that the absorbing water process was divided 3 stages.The water absorption speed of seed showed the trend of quick-slow.The values of water-absorbing speed ran to the maximum(0.0918g/h)in 2 hours.It needs 8 hours to arrive at the saturation.The minimum amount of water absorption that seed could germinate was about the 53.03 percent of the dry weight of seed.The seeds of Bromus rigidus Roth germinated well and the germanition percentage was 97.5% under a constant temperature of 20 centigrade.Germination index reached the maximum(90.08) under the 25 centigrade.The next was 30 centigrade,but there weren't difference between 20 and 25 centigrade.The value of vigor index arrived at the maximum(1656.489) under the 20 centigrade and had the significant difference with other treatments.The optimum temperature of Bromus rigidus Roth was 20℃ if the germination percentage,germination index and the value of vigor index were all considered.The germinating of seed was restrainted obviously when the temperature rised to 35℃.But it could put up with the lower tempeerature(5℃).
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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 | 0.000 | 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 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".