Effect of different storage conditions on seed physiology and chemistry characters and germination of Jatropha curcas.
Bibliographic record
Abstract
The seed storage experiment of Jatropha curcas was carried out by designing six kinds of different combinations of temperature and seed moisture(temperature: room temperature,4℃,-5℃.seed moisture:8.7%,4.7%).The physiology and chemistry indexes,germination rate of seed were tested before storage,storaged one month,storaged three months.The results indicated that the seed germination capacity decreased siginficantly with storage time extending.On the one hand,the storage substance of seed hydrolyzed,the protein content decreased and the soluble sugar content increased.On the other hand,the protection enzyme system of seed was destoryed with membrance lipid peroxidation,the SOD activity decreaseded,the MDA content and the generated rate of Superoxide anion free radical increased.Finally,the seed vigor and germination rate of seed declined.Among the six kinds of combinations,the best combination for seed longevity was No.4(temperature 4℃ and seed moisture 4.7%),the second was No.3(temperature 4℃ and seed moisture 8.7%),and the worst combination was No.1(the room temperature and seed moisture 8.7%).The outcome of this study preliminarily indicated that the best storage condition of Jatropha curcas seed was seed moisture 4.7% and temperature 4℃.
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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) | 0.001 | 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".