GENETIC VARIATION IN TRACHEID LENGTH AND RELATIONSHIPS WITH GROWTH AND WOOD TRAITS IN EASTERN WHITE SPRUCE (PICEA GLAUCA )
Bibliographic record
Abstract
Wood traits affect the quality of wood products, which is especially true for tracheid length regarding paper quality.While variation in tracheid length in white spruce is well known, estimates of genetic control over that trait as well as its relationships with growth traits and other wood characteristics have not yet been reported.Thus, the objectives of this study were: (1) to determine the extent of the differences in tracheid length among 30-year-old white spruce open-pollinated families; (2) to estimate the narrow sense heritability at both the individual and family levels for tracheid length; and (3) to estimate the phenotypic, genetic, and family mean correlations between height, diameter, volume, and wood specific gravity.We have shown that more than 90% of the variation in tracheid length is due to differences among trees within family plots.Heritabilities at both the family and the individual levels are low, so significant genetic gain could only be obtained from selection and vegetative propagation of the trees with the longest tracheids.Tracheid length in white spruce is negatively correlated to growth traits but appears to be independent of wood specific gravity.Effects of selection for growth traits on tracheid length are discussed.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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".