Relationship of Storage Methods and Pre-Humidification Treament with Endogenous Hormones Content of Pinus bungeana Zucc.Seeds.
Bibliographic record
Abstract
Different moisture content of Pinus bungeana seeds(7.27%(safe moisture content of the national standards),4.14%,3.19% and 2.18%) were desiccated by silica gel,after the desiccation,they were separately stored in ambient temperature for 4 months,and the seeds stored in refrigerator temperature were as controls to study the effect of storage methods and pre-humidification treatment on endogenous hormones content.The results indicated that:(1) The content of GA3 and ZR are decreasing with the reduction of seed moisture content,while the contents of IAA and ABA were first increased and then decreased before storage;Specially,When the moisture content were blowing from 7.27% to 4.14%,the GA3 content dropped significantly,while the ABA content significantly increased;The content of GA3,ZR and the ratio of GA3/ABA,ZR / ABA of ultra-dry seeds were lower than control;(2) Compared with the unpre-humidificated seeds,the seeds that were pre-humidificated,have higher content of GA3,IAA,ZR or the ratio of GA3/ABA and ZR/ABA,Among them,the 3.19% moisure content seeds were increased significantly in GA3 and ZR contents,and were increased by 81.3% and 35.8% respectively;While the ABA content of unpre-humidificated seeds were decreased.It can be seen that though the content of GA3 and ZR were decreased when the seeds were ultra-dry storaged,they can significantly improved when the seeds were pre-humidificated,and then enhance the germination capacity to offers the possibility of ultra-dry storage for Pinus bungeana seeds.
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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".