Season-long supply of plant-available nutrients from compost and fertiliser in a long term organic vs. conventional snap bean rotations experiment
Bibliographic record
Abstract
In Canada, stockless organic vegetable cropping systems may use compost for fertility. However, information to guide growers about when nutrients become available in the soil over the growing season is lacking. Detailed analysis of plant nutrient supply was conducted over three years in a multi-site rotations experiment using two cropping sequences. The experiment compared conventional fertility treatment (synthetic fertiliser (1x N)) with organic treatments (annual compost amendment at a low (1x N) and a high rate (3x N)). Plant-available soil nutrients were captured using sequential two-week burials of ion exchange membranes. Ions were eluted and quantified. Variation in nutrient supply over time, and effects attributable to crop rotation and fertility regime were evaluated with analysis of variance and of principal components. Results showed season-long supply of plant nutrients was more affected by year than fertility regime or rotation, even in composted plots where large residual effects were expected. Synthetic fertiliser and 1x compost resulted in very similar seasonal plant nutrient supplies. While 3x compost caused some significant changes, the gains in plant nutrient supply was modest enough to suggest little or no advantage in this one respect to warrant the cost of amending at greater than the 1x rate.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 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 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".