Downward movement of nitrate and phosphorus from hog manures in annual and perennial cropping systems
Bibliographic record
Abstract
Excess nitrate-N concentration (>10 mg L-1) in drinking water can cause significant risk to human health. Also, at very low concentration (0.035-0.1 mg P L-1), phosphorus is considered as a pollutant due to its effects of promoting algal growth and eutrophication of surface waters. This thesis’ research was conducted at two different sites. The first study was conducted at Carman on a sandy loam soil with cropping system, perennial versus annual, as the main plot and manure nutrient management system, as the subplot to measure nitrate and phosphorus leaching from hog manures. The second field experiment, located northwest of the town of Carberry, Manitoba, was conducted on a loamy sand soil. A two year rotation was employed for the annual cropping systems with a randomized complete block design. Treatments included two rates of liquid hog manure (LH-5000, LH-2500), two rates of fertilizers (F5000, F2500) corresponding to the amount of available nitrogen in the two rates of hog manure a compost treatment (Com-2500) and a control for a total of six treatments. The results from Carman site showed that while a substantial amount of nitrate-nitrogen was lost from the annual plots (40 to 60 kg ha-1 in 2010 and 23 to 60 kg ha-1 in 2011), a negligible amounts of nitrate was lost from the perennial (< 1 kg ha-1). There was no evidence of significant downward movement of phosphorus below the top 15 cm soil layer in this study. However, repeated, annual application of manure at an N-based rate resulted in increased soil test P. In Carberry, total N leaching of fertilizer amended plots was greater than in plots that received manure. Based on the results, application of liquid hog manure at the rate of 2500 gallon ac-1 was economically and environmentally more desirable and is recommended. We applied the multi-layer water balance model, VSMB, to the data that we generated in the field to gain an understanding of how well the model will simulate the loss of water that we measured from the lysimeters. The simulation study showed that the VSMB model grossly underestimated the amount of leached water, possibly due to an overestimation of evapotranspiration.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".