Bibliographic record
Abstract
Biological aspects of orchard-produced Sitka spruce (Picea sitchensis (Bong.) Carr.) seeds were studied for one seed orchard located on the Saanich Peninsula of Vancouver Island, B.C. These aspects include: the determination the level of genetic diversity in the orchard population and its comparison to the species' range estimates, the estimation of the degree of inbreeding in the orchard, seed and cone crop parental balance over t w o crop years, the genetic control of germination parameters and seed size , the impact of simulated long-term storage on the genetic constitution of bulk seed crops , and the relationships between seed size and genetic origin on their seedling attributes. It was found that: (1 ) Most of the polymorphic allozyme markers investigated segregated according to the expected Mendelian ratio, and no linkage between any pair of these loci was observed; (2) The level of genetic diversity present in the seed orchard population indicated that phenotypic selection of parent trees did not reduce the level of diversity; (3) Significant rates of outcrossing were detected in the seed orchard population ( t „ = 0 . 8 7 5 ) . Most of this inbreeding occurred in lower branches; (4) Parental imbalance was found for the two crops investigated, however, improvement over time was observed, indicating an age effect; (5) Germination parameters (GC, P V and GV) and seed size were under genetic control with estimates of broad-sense heritabilities of 0 . 74 - 0.78 and 0.36 , respectively; (6) Artificial aging of seed (i.e., accelerated aging) indicated that reduction in rates of germination were clone-specific; and (7) Seed size showed no effect on seedling attributes, but a significant effect on germination speed was observed.
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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".