Genetic control of wood physicochemical properties, growth, and phenology in hybrid aspen clones
Bibliographic record
Abstract
To better understand the genetic control of wood chemical and fibre properties in hybrid aspen, genetic relationship of these with growth and phenological traits were examined. In all, 18 hybrid aspen clones were sampled in the 13- and 14-year-old clone trials in Sweden. Strong clone within family effects were present for growth and wood properties. The repeatability estimates across two sites were 0.85, 0.65, 0.56, 0.54, and 0.65 for alkali soluble lignin content, arithmetic average fibre length, coarseness, diameter, and height, respectively. Genetic correlations generally exceeded the corresponding phenotypic correlations. The phenotypic and genetic correlations were negative between fibre count and height growth (0.64 and 0.65, respectively) and between fibre count and length of growth period. The result suggests that the length of the growth period could be a good predictor of clone differences in fibre count. The estimated correlations were unfavourable, in the sense that clonal selection directed at increasing the fibre count is expected to produce an indirect genetic decline in growth. Intersite genetic correlations indicated that wood characters were more stable than growth traits.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".