Potato response to struvite compared with conventional phosphorus fertilizer in Eastern Canada
Bibliographic record
Abstract
Abstract In acidic soils with high phosphorus (P) fixing capacity, P application at levels higher than crop requirements is common in crops with high P demands such as potato ( Solanum tuberosum L.), which could lead to eutrophication. Recycled sources of P fertilizer, such as struvite, can be efficient in meeting crop P demands while minimizing P losses. The objective of this study—conducted in four provinces over 3 yr (2016–2018, with 12 sites in total) in Eastern Canada—was to assess potato response to P fertilizer as triple superphosphate (TSP) or a mixture of TSP with struvite. Eight P treatments were applied with five increasing P rates as TSP (0, 26, 52, 79, and 105 kg P ha −1 ) and three treatments as a mixture of TSP and struvite (25, 50, and 75% (w/w) struvite) at a rate of 79 kg P ha −1 . Phosphorus availability indices measured multiple times over the growing season were composed of Mehlich‐3 extracted P (P M3 ), soil P adsorbed on anion exchange membranes (P AEMs ), and petiole P‐PO 4 (P petiole ) concentrations. There was a potato yield response to P inputs at all sites, with the control treatment showing lower potato yield at all sites. Potato yield, P petiole , P M3 , and P AEMs were comparable between 100% TSP and TSP+struvite at the same rate, except at one site where struvite at a higher proportion depressed yield and was associated with lower P uptake. Overall, the use of struvite could be a sustainable mean to address long‐term globally P scarcity.
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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) | 0.002 | 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".