Collecting and storing seeds of<i>Arceuthobium americanum</i>from<i>Pinus banksiana</i>
Bibliographic record
Abstract
An effective technique for collecting and storing Arceuthobium americanum seeds from jack pine (Pinus banksiana) infected with lodgepole pine dwarf mistletoe is critical for year-round experiments on this pathosystem. The required technique should also be easy to scale up to collect many seeds efficiently at widely separated sites. While several dwarf mistletoes have been stored between 2 and 48 months, no one has reported the effectiveness of the techniques employed for storage of A. americanum seeds collected from jack pine. This study estimated the productivity of seed collection at widely separated sites, using stockinet as a collection material, determined efficacy of this material for collecting seeds, and evaluated germinative ability of seeds in storage for up to 24 months. Stockinet trapped more than 300 000 seeds during three seed-collection years at a maximum rate of 1160 seeds per person-hour of stockinet placement and recovery. Stockinet intercepted 62% of discharged seeds. Based on evaluations of germinative ability during three seed-collection years, germination peaked at 61%–74% between 210 and 300 d in storage and then declined slowly to 11%–30% at 24 months. Aseptic storage of seeds in the dark at 2 °C in sealed jars with an internal relative humidity of 75% was effective at storing more than 140 000 seeds without molding.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".