Allelopathy Effect of Decomposed Liquids of Cotton Stalk Under Different Decomposing Modes on Cotton Seeds Germination
Bibliographic record
Abstract
Cotton long-term continuously cropping and cotton stalk returning to field are general in Xinjiang,China.Two modes were designed in this research:natural decomposition and microbial inoculation methods to decompose cotton stalk,and allelopathy of the decomposed liquids on cotton seeds germination was studied.The results showed that natural decomposed liquids showed strong autotoxity on cotton seeds germination,as concentration of the decomposed liquids reached 5g/L,seeds germination rate and germination index started to decrease significantly(p0.05).While the growth vigor of germinated seeds were affected less,the germinated seeds could even bear the decomposed liquids concentration up to 30g/L.In artificial decomposition,the autotoxity of decomposed liquids was eliminated to a large extent,the decomposed liquids still showed no significant inhibiting effects on seeds germination rate achieved the concentration of 50g/L even,on the contrary,the vigor index and radicle dry weight of the germinated seeds increased very significantly(p0.01).The different results of seeds germination in two decomposition mode indicated that the seeds germination energy,germination rate,germination index and vigor index in artificial decomposition were heightened very significantly(p0.01),and the radicle dry weight increased significantly(p0.05).
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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 | 0.000 | 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".