Soil chemical changes following manure application on irrigated alfalfa and rainfed timothy in southern Alberta
Bibliographic record
Abstract
In areas within Alberta where suitable cultivated land is not available, or for convenience, the use of forage land is an alternative for manure application. However, there is limited research on the effects of manure on forage land in the province. The objective of this 5-yr study was to determine the effects of manure on soil chemical properties of forage land. Cattle (Bos taurus L.) and hog (Sus scrofa L.) manures were applied at five rates on irrigated alfalfa ( Medicago sativa L.) and on rainfed timothy(Phleum pratense L.) sites. Treatments were replicated four times and arranged in a randomized complete block design. Soil samples (0 to 15, 15 to 30, 30 to 60, 60 to 90, 90 to 120, and 120 to 150 cm) were collected each spring prior to manure application. Manure application on forage land significantly affected soil chemical properties such as increases in NO3-N, PO4-P, K, Na, and electrical conductivity. There was also evidence of accumulation and some downward movement of NO3-N, Na, and K below 15 cm. The higher manure application rates used in this study (>31 Mg ha-1 cattle manure and >42 Mg ha-1 hog manure; wet weight) are not sustainable in terms of potential environmental risk, such as leaching of NO3-N to groundwater, loss of P in runoff water, and increased soil salinity. Appropriate application rates should be based on crop nutrient requirements and management practices that include regular manure and soil testing. Key words: Alfalfa, timothy, manure, hog, cattle, soil nutrients, electrical conductivity
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".