Comparison of N fertilizer, source-separated municipal solid waste compost and semi-solid beef manure on the nutrient concentration in boot-stage barley and wheat tissue
Bibliographic record
Abstract
Composting of source-separated municipal solid waste (SSMSW) is an option currently used to divert refuse from landfills. There is interest in using this material to alleviate soil constraints. Since many livestock producers ensile their cereals, after harvesting at boot-stage, the purpose of this project was to determine the effect that SSMSW compost and semi-solid beef manure, with and without supplemental N fertilizer, would have on the concent ration of minerals in this feed. The addition of N fertilizer increased the concentration of N, K, Ca, Mg, Mn, Cu, and Zn in boot-stage tissue of barley in 1996 and wheat in 1997, but only increased the concentration of B in wheat tissue. Cereal boot-stage N, K, and Mn concentrations were higher in the manure than compost-amended plots. However, boot-stage Mg and Cu concentrations tended to be higher in the compost-amended plots. As manure addition increased, the concentration of N and K in barley and wheat , Ca and Cu in wheat, and Mn in barley increased. As the rate of compost addition increased, the concentration of Mg in barley and wheat decreased, while that of Cu in barley increased. Even though the SSMSW compost was applied at higher than normal agronomic rates, tissue Cu and Zn concentrations were not at levels considered to be harmful to plants or livestock. Key Words: Barley, wheat, boot-stage, compost, fertilizer, mineral concentrations, municipal solid waste manure
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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 | 0.001 | 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 | 0.001 |
| 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".