Field Strategies for Rose Hip Production in Prince Edward Island
Bibliographic record
Abstract
Market demand for rose hips from wild rose (Rosa spp.) plants is increasing as research reveals the valuable nutraceutical compounds that they contain. Roses grow wild throughout Prince Edward Island, Canada, and commercial production of rose hips is a recently new venture in this province. This study examined the long-term effects of several management practices on rose hip production in Prince Edward Island. Cuttings from native wild populations were planted in a replicated trial at the Agriculture and Agri-Food Canada, Crops and Livestock Research Centre, Harrington Research Farm in Harrington, Prince Edward Island, in 2004. Treatments consisted of in-row mulch (none, straw, or bark); fertility (none, compost, or fertilizer); and two inter-row (tilled or sod). Mulch, especially straw mulch, promoted overall plant size and yield, while fertilizer promoted plant height and yield. Inter-row tilling was best during the first years of growth, while inter-row sod led to increased plant height in later years. Results indicated that management practices may need to be adjusted as plant establishment proceeds in order to maintain healthy and productive plants for long-term commercial production.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".