Inter-year variation in selfing, background pollination, and paternal contribution in a Norway spruce clonal seed orchard
Bibliographic record
Abstract
We aimed to investigate inter-year variability in mating system and paternity in an experimental Norway spruce (Picea abies (L.) Karst.) clonal seed orchard that was established with five geographically distinct populations. Using five nuclear microsatellite markers, we analysed 1396 progeny of five mother trees representing each of the populations in three successive mast-years. Selfing varied among mother trees, ranging from 0% to 18.3% with a mean of 13.9% in 1994, 10.1% in 2004, and 7.6% in 2006. Considerable background pollination was observed in each of the three studied mast-years and reached ca. 58%. The paternity assignment conducted showed an uneven male contribution to the seed crop, what was partly related to the number of ramets per paternal clone. All provenances contributed to the seed crop, but with different input, and two provenances dominated. Effective pollen dispersal was significantly determined by distance, with 72.2% of the seed crop resulting from crosses at a distance of up to 15 m. Our study indicated that despite considerable differences in the geographic origin of populations, inter-mating between clones from each population was possible, which generally agrees with the expectations related to the establishment of this seed orchard.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".