Response to Phosphorus of Cranberry on High Phosphorus Testing Acid Sandy Soils
Bibliographic record
Abstract
The fertilized sand‐grown cranberry ( Vaccinium macrocarpon Aiton cv. Stevens) could be at risk for water contamination by P during seasonal flooding and drainage, especially in high‐P soils. The P diagnosis is usually conducted from soil and tissue tests but should also include water‐extractable P (P W ) as an environmental index. Although the Bray‐1 P (P Bray1 ) test is the current test for cranberry soils, the Mehlich‐III (M‐III) test is now commonly used in Quebec and the mid‐Atlantic USA as an agri‐environmental index with specified thresholds. Our objective was to relate the (P/[Al+Fe]) M‐III molar ratio to P W and P Bray1 and to evaluate this ratio against yield and tissue P responses to added P in high‐P sand‐grown cranberry crops. Fertilizer trials were conducted during the 2001 to 2004 period at rates of 0, 13, 26, and 39 kg P ha −1 yr −1 on permanent plots at five locations in central Quebec. The slope of the relationship between the (P/[Al+Fe]) M‐III molar ratio (range: 0.024–0.094) and P Bray1 (60–235 mg P kg −1 ) was 0.0004 ( R 2 = 0.92). There were significant site and year effects but no significant effect of added P on berry yield. There were significant linear effects of added P on tissue P concentration in the range of 0.9 to 1.4 g P kg −1 but no critical value could be defined. The simulated (P/[Al+Fe]) M‐III environmental threshold (9.7 mg P W kg −1 ) was 0.113. The (P/[Al+Fe]) M‐III molar ratio could be used interchangeably with P Bray1 in Quebec sand‐grown cranberry crops but the provisionary environmental threshold must be ascertained from drainage water monitoring.
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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 | 0.000 | 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) | 0.001 | 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".