Genetic variation at early ages for several traits of interest for timber-production breeding of<i>Juglans regia</i>
Bibliographic record
Abstract
Several traits of common walnut (Juglans regia L.) were assessed during the first three growing seasons in a progeny test of 43 open-pollinated families at two sites in northwestern Spain. Variance components, heritabilities and correlations between traits were calculated for all characteristics measured. Significant differences were found among families with regard to growth, phenology, frost damage, number of apical branches, and Phytophthora cinnamomi Rands damage, but not for growth-habit traits (number of branches, stem form, and apical dominance). Heritabilities were moderate for total height (h 2 i ≥ 0.32; h 2 f ≥ 0.63) and late-spring frost damage (h 2 i = 0.29; h 2 f = 0.57), high for resistance to P. cinnamomi (h 2 i = 0.76; h 2 f = 0.85), and low for phenology (h 2 i = 0.15; h 2 f = 0.39 for bud burst, and h 2 i = 0.140.36; h 2 f = 0.440.70 for leaf fall) and root-collar diameter (h 2 i = 0.180.29; h 2 f = 0.410.58). High ageage correlations were found for growth and phenology traits during the first three growing seasons. Some interesting correlations were also found between several of the traits studied. The families whose buds burst the earliest had more late-spring frost damage and, consequently, more apical branches (i.e., branches near the apical bud). Furthermore, the greater the resistance to P. cinnamomi and frost damage, the taller the families.
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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 | 0.001 | 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) | 0.001 | 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".