Application of alkaline-stabilised biosolids for Meloidogyne incognita suppression in microplots
Bibliographic record
Abstract
Abstract N-Viro Soil (NVS) is an alkaline-stabilised biosolid that has been shown to suppress Meloidogyne incognita. In separate microplot studies, NVS was applied either alone at different rates (0, 25, 50, 75, 100 dry t ha−1), or in combination with M. incognita-resistant and M. incognita-susceptible cultivars, to different M. incognita initial densities (0, 37 500, 75 000 eggs/microplot). NVS suppressed M. incognita. During year 1, increasing rates of NVS resulted in higher soil solution pH and greater M. incognita J2 and egg suppression. Soil solution pH remained higher in NVS-amended plots compared to the unamended control in years 2 and 3. NVS was more effective in reducing moderate than in reducing high initial nematode populations, with 94-100% reduction in egg and juvenile populations compared to 75-79%, respectively. In all experiments, a reduction in nematode populations by NVS, alone or in combination with a resistant cultivar, did not occur consistently in years 2 or 3. Unfortunately, the application rate of NVS required to achieve this reduction in nematode populations is probably not agronomically realistic. Additional research may allow the rate of NVS required to suppress plant-parasitic nematodes to be reduced.
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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".