Study the Effect of pH on Protein Metabolism During Germination of Soybean Seed
Bibliographic record
Abstract
In the process of soybean seed germination,external environment greatly influences internal protein change of seeds,pH is a very important factor.This study under the condition of different pH during soybean seed germinating,studied the relative water quantity,soluble protein and ammonia nitrogen content,activity of protease and peptidase etc,and physiological and biochemical indexes changes,to explore the effect of pH on protein metabolism.Results showed that water uptake was the fastest at pH 6.0 and pH 8.0,and germination rate was the largest at pH 8.0.Soluble protein content was the highest at pH 6.0,when pH up to 7.5,It's content decreased to the lowest.In addition,the activity of protease and peptidase was the highest when pH 6.0 and 9.0 during experiment,and protein degradation products-peptide and amino acid content was the highest at pH 6.0 and 9.0 respectively.In all,this research supplied a foundation to further study the process of seed germination on one hand,on the other hand,this research provided theory basis for understanding seed germination process at physiological and biochemical levels.
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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".