Morphometric, allometric, and developmentally adaptive traits in red spruce and black spruce. II. Seedling and mature tree assessment of controlled intra- and inter-specific hybrids
Bibliographic record
Abstract
The objective of this study was to investigate the genetic nature of morphometric, allometric, and developmental traits in controlled intra- and inter-specific hybrid crosses of red spruce (Picea rubens Sarg.) and black spruce (Picea mariana (Mill.) BSP). We examined 1-year-old greenhouse-grown seedlings and 22-year-old mature trees that were part of the same set of controlled crosses performed in the early 1970s. Seed weight had a strong female species effect. Mean cotyledon number and germination time had a very strong hybrid index effect. F1 interspecific hybrids showed negative heterosis in mature tree height, whereas hybrid index 25, a black spruce backcross, produced positive heterosis for seedling and mature tree height growth. Correlations of mean height of seedlings with mean height of mature trees on two sites were remarkably high (r = 0.918 and r = 0.968) when tested by hybrid index. Any cross having black spruce as the female or male parent had significantly higher height growth than those with red spruce as either female or male parent. Of the five hybrid indices, hybrid index 0 (black spruce) had the highest biomass allocation to stem wood and hybrid index 100 (red spruce) had the highest allocation to roots.
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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".