Local population structure of white pine weevil (Pissodes strobi [Peck]) in interior and Sitka spruce stands in British Columbia
Bibliographic record
Abstract
White pine weevil is a pest of interior and Sitka spruce species in British Columbia. It is native to eastern Canada, and migrated to the west. To date, control of the weevil has been ineffective even with the combined use of several control methods. Current research has focused on breeding resistant trees for use in plantations to overcome attack from Pissodes strobi. Knowledge of the weevil genetic structure on a small-scale stand level is extremely important in developing strategies that decrease the possible development of tolerance in P. strobi populations to resistant trees. To understand the population structure of P. strobi 15 microsatellite markers were used to investigate local population structure. Genetic structure of local weevil populations differed over stand age in both interior and Sitka spruce plantations. The younger and older plots had more single populations associated with individual trees than did middle aged plots. Middle-aged plots had increased beetle movement regardless of the number of weevil larvae per leader, increased number of females ovipositing per tree and less weevil genetic differentiation between trees. Understanding reproductive dynamics of P. strobi will help develop strategies for planting resistant trees to decrease the development of insect tolerance and further our knowledge of the possible co-evolutionary dynamics of this system.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".