Germination of pretreated Scots pine seeds after long-term storage
Bibliographic record
Abstract
Improvement of seed quality by pretreatments is indispensable in current mechanized plant production. Pretreated seeds are usually sown immediately, but in some cases they also have to be stored. The aim of our work was to study the changes in germination indices of pretreated Scots pine (Pinus sylvestris L.) seeds and the impact of the incubation temperature on germination after long-term storage. Pretreated and nontreated Scots pine seeds of three forest stands and a seed orchard were stored for about 10 years at the temperatures of 2°C and 18°C. The changes in germination indices were studied using germination tests and radiography. The germination indices of both pretreated and nontreated seeds were impaired during long-term storage. In general the changes were greater in cold than in frozen storage. Decline of the germination indices was more obvious in pretreated seed orchard than in forest stand seeds. The germination indices of forest stand seeds, whether pretreated or not, was preserved equally well in cold storage, while in orchard seeds germination indices prevailed better in nontreated seed batches. Forest stand seeds incubated at 10°C maintained their germination indices better than seeds incubated at 5°C, while in orchard seeds the effect was not as obvious.
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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".