Efficacy Testing of Organic Nutritional Products for Ontario Canada Vineyards
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A study was conducted to determine the efficacy of three foliar applied organic fertilizers and their impact on yield, fruit composition, and plant nutrition in mature own-rooted ‘Baco noir’ grapevines in Niagara-on-the-Lake, Ontario, Canada. Three foliar fertilizer products (liquid fish fertilizer, seaweed extract, “Monty's Evergreen”) were applied biweekly as individual treatments as well as in the form of a complete (combination) application at dealer recommended rates from bloom to 2 weeks post-veraison. A control treatment consisted of 150 kg/ha ammonium nitrate (51 kg N/ha) added one week before bloom. Despite using less than 10% of the total N applied in the control, the complete foliar application equalled or surpassed the control in almost all yield, fruit composition, and vine nutrition variables. Despite severely reduced yield due to berry moth patterns experienced in the region in 2005, the complete foliar treatment increased yield by 15%, and this was considered sufficient to justify the increased material costs. The results of this study suggest that the use of foliar fertilizers is effective in replacing soil-applied ammonium nitrate for nutrient supplementation to ‘Baco noir’ grapevines. The implications of this study may cause grape growers in the Niagara Peninsula to reevaluate their nutrient management practices.
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.
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 | 0.002 |
| 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 | 0.001 | 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