Effect of DDGS manure on soil and plant: preliminary results of the greenhouse study
Bibliographic record
Abstract
The use of dried distillers’ grains with solubles (DDGS) in feedlot cattle diets is increasing as the bio-ethanol industry expands. Manure derived from dried distiller’s grain with solubles (DDGS) fed cattle seem to have higher amounts of N and P than manure from regular grain fed cattle. This study investigates how DDGS manure affects soil fertility and nutrient uptake by barley grown in a controlled greenhouse environment. Both DDGS and regular manure were applied at 30, 60, 120 and 180 Mg ha-1 yr-1 to a sand soil. The results of the first 3 harvest cycles indicate that both types of manure resulted in similar increase in plant total P content. However, soil TP and available P concentrations in DDGS manure treatments were higher. Soil available in DDGS treatments was twice as much of that in regular manure. Increase in soil TN and available N contents was similar with both types of manure. Plant TN content did not seem to be influenced by manure application. This study indicates that the main concern with the use of DDGS manure is its high P solubility. However, no significant increase in soil available P was observed at a manure rate of 30 Mg ha-1 yr-1.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".