Ion exchange membranes as an indicator of soil mineral nitrogen availability and nitrogen uptake by arugula (<i>Eruca sativa</i>L.) in soils amended with green manure
Bibliographic record
Abstract
Green manure crops are a common N fertilizer source in organic agriculture. Producers need guidance on when to incorporate the green manure for efficient N uptake by the following crop. The objective of this study was to describe the temporal dynamics of soil mineral N following green manure plough-down and N available to arugula (Eruca sativa L. sp.) also known as salad rocket, a fast-growing leafy herb used in salads. Green manure was a mixture of field pea (Pisum sativum L.) cv. CDC Meadow and oat (Avena sativa L. sp.) grown on fields with sandy loam and sandy clay loam soils at an organic vegetable farm in southwestern Quebec, Canada. Ion exchange membranes (IEMs) were used to monitor the ammonium (IEM––N) and nitrate (IEM––N) released following green manure plough-down. The IEM––N concentration was positively correlated with rainfall (r = 0.57 to 0.95, p < 0.05) and was greater from 2 to 5 weeks after green manure plough-down than in soils without green manure. Arugula N uptake and IEM––N were positively correlated in sandy clay loam (r = 0.86, p < 0.01) and sandy loam (r = 0.71, p < 0.05) soils. IEM––N concentrations were found to be sensitive to weather, green manure decomposition and arugula growth, and could be a tool to monitor soil mineral N available for short-season vegetable crops.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".