Highly heritable heartwood properties of Scots pine: possibilities for selective seed harvest in seed orchards
Bibliographic record
Abstract
The stilbenes pinosylvin (PS) and its monomethyl ether (PSM) provide natural decay resistance to Scots pine ( Pinus sylvestris L.) heartwood timber. For growing trees, the inducible stilbene production serves as a defence against biotic and abiotic stresses. To improve the potential of reforestation material to produce stilbenes, we assessed the possibilities of selective harvesting from seed orchards. Half-sib progenies growing in a field trial and their grafted mothers in seed orchards were surveyed for several chemical and dimensional heartwood characteristics. The correlations between the clonal means of grafted mothers and the family means of their progenies were high for concentration of PS (r = 0.83, p = 0.000) and PSM (r = 0.60, p = 0.010) and for heartwood density (r = 0.72, p = 0.001). For these traits, the narrow-sense heritabilities (h2) estimated from the progeny trial and the broad-sense heritabilities (H2) in seed orchards were high as well. For the concentration of PS, both h2 (0.67) and H2 (0.81) showed the highest values of any trait. The selective collection of Scots pine seed from seed orchards is a promising way to obtain seedlings that possess genetic potential for active defence and to produce high-quality heartwood as mature trees.
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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".