Evaluation of Adaptive Responses of Juglans neotropica Diels Progenies Based on Dasometric Traits
Why this work is in the frame
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Bibliographic record
Abstract
(1) Background: Juglans neotropica Diels, native to the Andes, is highly valued for its quality wood, medicinal uses, edible fruits, and natural dyes. However, its population has been greatly reduced due to overexploitation, becoming threatened and resulting in genetic stochasticity. Therefore, a prompt ex situ and in situ conservation effort is needed for its conservation and restoration. (2) Methods: A total of 439 trees of J. neotropica Diels were sampled from selected individuals across the northern and central regions of Ecuador. These trees were planted in a randomized complete block design to assess their growth and genetic variability. (3) Results: Annual average tree growth varied significantly among progenies. Based on their dasometric traits, two distinct groups were identified as superior and surveillance. Five trees demonstrated promising traits (TJ182, ChL2314, ChL142, TJ1310, and BSM14), suggesting potential for inclusion in forest genetic improvement programs. (4) Conclusions: Fifteen percent of individuals from the five studied provenances exhibited desirable dasometric characteristics and high-quality wood. In addition, several individuals within the progenies exhibit resistance to biotic agents, indicating a genetic potential for disease.
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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 | 0.001 |
| 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) | 0.000 | 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 it