IMPACT OF CONVENTIONAL AND PRECISION CATTLE MANURE APPLICATION METHODS ON HORMONE CONCENTRATIONS AND ACTIVITIES IN SURFACE WATER AND SOIL
Bibliographic record
Abstract
Worldwide, agricultural activities such as animal production have intensified to supply nutrients for the growing human population. To satisfy nutritional demands, sustainable strategies must be implemented to enhance agricultural outputs and manage resulting by-products, while securing agricultural and environmental system viability. Intensive animal production can generate vast quantities of animal manure that is concentrated within relatively limited areas. Managing manure is challenging, but management often involves applying manure to agricultural lands. Applying manure to land recycles valuable nutrients and organic matter beneficial for producing crops. However, manure-borne pollutants, such as hormones, can threaten water and soil quality. Specifically, hormones can be readily exported in surface runoff water from manured fields to ecosystems. This thesis compared conventional and precision manure application strategies to determine if either method contributed hormone concentrations and activities to water and soil. For this watershed-scale study, a previously unmanured cropland field adjacent to the University of Saskatchewan Beef Cattle Research and Teaching Unit was used for a study established in 2018. Within the field, three treatment zones of approximately 40 acres each were set up. The three treatments were 1) commercial fertilizer (no manure), 2) conventional, also termed traditional, cattle manure application at constant rate with no setbacks from watershed basin centers, and 3) precision cattle manure application at variable rate with no manure applied in basin centers. During 2019, snowmelt, rainfall runoff, and soil was collected from nine watershed basins within the three field treatment zones. Manure source material was also directly sampled from the windrow pile used for field treatments in May of 2019. In 2021, fecal rectal grabs, pen floor manure, and windrow pile manure were also collected from the cattle feedlot facility where manure was obtained for field treatments. Chemical analyses were combined with in vitro reporter gene assays to assess hormone concentrations and activities in environmental samples and manure materials. Targeted hormonal growth promoting chemicals, and corresponding metabolites, were identified and quantified by liquid chromatography ultra-high resolution mass spectrometry, while hormone activities were assessed by in vitro bioassays. Targeted analytes included trenbolone acetate, 17α-trenbolone, 17β-trenbolone, trendione, melengestrol acetate, and melengestrol. No target analyte concentrations were detected in any water, soil, or windrow pile manure. Fresh rectal feces contained 17α-trenbolone and 17β-trenbolone, while pen floor manure contained 17α-trenbolone. Hormone activities assessed included (anti-)androgenic/glucocorticoid activity and (anti-)estrogenicity. Fresh and pen materials both contained androgenic/glucocorticoid activity, and (anti-)estrogenicity. In contrast, windrow manure samples (collected in 2019, and 2021) were mostly estrogenic and lacked androgenic/glucocorticoid activity. All pre- and post-manure application water samples (snowmelt, and rainfall runoff) were estrogenic. Estrogenic potency was increased in rainfall runoff after conventional application. In contrast, estrogenic potency did not increase in rainfall runoff after precision application. No hormone activities were detected in soil samples collected late August of 2019. Increased estrogenicity in rainfall runoff from the conventional application likely originated from windrow manure uniformly applied across the field, which included the watershed basin centers. These results indicate precision manure application, with setbacks, may protect water from hormone entry. Precision application may be particularly effective if runoff occurs after recent manure-amendment, or before hormones dissipate in manured soils. This thesis supports precision manure application as a viable method to help mitigate hormone export from manure-amended soils to sensitive systems.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 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".