Effect of tillage regimens on soil erosion, nematodes, and carrot yield in Prince Edward Island
Bibliographic record
Abstract
Prince Edward Island soils have rooting depths of 25 to 40 cm (10 to 16 in), and soil erosion is critical on these shallow soils. Soil erosion has been identified as a problem by local carrot producers. The objective of this project was to examine the impact of pre- and post-planting soil conservation methods on the reduction of soil sediment loss and relative water runoff using a rainfall simulator. The effect of these methods on carrot yield and change in nematode populations were also assessed. Pre-planting treatments consisted of fall mold-board plowed, fall disced, fall chisel plowed, and no fall tillage with or without fall-applied mulch. Post-planting treatments were established between-row as mulch, dyking, fall rye, barley, and a control (no treatment). The pre-planting experiments show that fall disced, fall chisel plowed and no tillage with or without mulch are unacceptable to producers because they hinder bed formation and seeding operations. Root-lesion nematodes in the carrot root at harvest were four times higher in the mulched than the non-mulched plots. The post-planting results show that between-row mulching or dyking in combination with the spring chisel plowed significantly reduced relative soil sediment loss overall by 68% and 48%, respectively. We conclude that soil erosion prevention in a carrot crop can be achieved with spring chisel plowed combined with post planting mulching.
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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) | 0.000 | 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".