Optimization of multiple trait selection in western hemlock(<i>Tsuga heterophylla</i> (Raf.) Sarg.) including pulpand paper properties
Bibliographic record
Abstract
Options for incorporating wood quality in British Columbia's hemlock breeding program were investigated.Seventy half-sib families were examined.Attention was given to quantitative variation in tracheid characteristics and its effects on pulp and paper properties.Based on the existing knowledge of relationships between fibre properties and paper quality, the potential gain in yield and wood quality was estimated for different selection strategies.Improvement without much trade-off was possible for volume and tensile strength of pulp and paper.Significant trade-offs would be required to improve the volume, tear strength of paper and strength of mechanical pulp.Therefore, multiobjective optimization would be beneficial.Conservative selection strategies seem realistic, and compromises with gain in volume growth may be profitable.The potential loss arising from the uncertainty about economic values for objectives can be overcome by using different selection indices in multiple breeding populations. Tsuga heterophylla / wood quality / index selection / breeding / optimizationRésumé -Optimisation de la sélection multi-caractères pour les propriétés de la pâte et du papier chez (Tsuga heterophylla (Raf.)Sarg.).Nous avons étudié plusieurs stratégies d'introduction de la qualité du bois dans le programme d'amélioration génétique de Tsuga heterophylla en Colombie Britannique.Soixante-dix familles de demi-frères ont été examinées.Nous avons observé la variation quantitative des caractéristiques des trachéides et analysé ses effets sur les propriétés de la pâte et du papier.En nous basant sur la connaissance des liens entre les propriétés des fibres et la qualité du papier, nous avons estimé le gain potentiel pour le rendement et la qualité du bois pour différentes stratégies de sélection.Il est possible d'améliorer simultanément sans faire beaucoup de compromis le volume et la résistance à la traction de la pâte et du papier.Des compromis importants sont nécessaires pour améliorer simultanément le volume, la résistance à la déchirure du papier, et la résistance à la tension de la pâte TMP.En conséquence, l'optimisation multi-objectifs parait intéressante.Les incertitudes sur les poids économiques des caractères, potentiellement responsables de pertes, peuvent être écartées si on utilise des index de sélection différents sur des populations d'amélioration multiples. Tsuga heterophylla / qualité du bois / indice de sélection / amélioration génétique / optimisation
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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) | 0.001 | 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".