Weed Management Options for Organic Wild Blueberry (Vaccinium angustifolium Ait.) Production
Bibliographic record
Abstract
Weeds are considered a major problem for organic wild blueberry (Vaccinium angustifolium Ait.) production due to their excessive growth and limited management options available. Therefore, the primary objective of this study was to investigate burning in combination with sulphur application as a weed management option for organic blueberry production. In addition, Finalsan® and EcoclearTM as potential candidates for perennial weed control in organic production were evaluated. Burned and sulphur plots produced higher blueberry stem density, blueberry cover and yield compared to mowed and no-sulphur plots, respectively, although, the interaction was not significant. Similarly, low weed density and cover were observed in burning and sulphur application plots. Mycorrhizal colonization in blueberry roots was significantly higher in burned plots than mowed plots. A single application of Finalsan® and EcoclearTM effectively controlled goldenrod, sweet fern and bracken fern. However, a single application of either product did not control wild raisin or moss.
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 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 | 0.000 | 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 | 0.000 | 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 teacher head, 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".