Location: Environmentally Integrated Dairy Management Research
Project Number: 5090-12630-006-026-S
Project Type: Non-Assistance Cooperative Agreement
Start Date: Aug 1, 2024
End Date: Jul 31, 2026
Objective:
Utilize statistical analytical tools to evaluate agronomic, microbial, and environmental data.
Apply advanced experimental designs and statistical methods to four ongoing studies conducted at the Environmentally Integrated Dairy Management Research Unit: 1) Evaluate the association between Runoff Risk Advisory Forecast (RRAF) forecasts and microbial contamination of private household wells in the dairy region of northeastern Wisconsin; 2) Occurrence and distribution of microbial contamination (including antibiotic resistance genes) in southwest Wisconsin groundwater as function of land use, precipitation, and hydrogeology; 3) Using machine learning for predictive modeling of microbial contamination in groundwater; 4) Develop SAS macro for determining isotope composition of forage samples from mass spectrometry data; 5) Validate SAS macro against existing data set; 6) Analyze impact of dairy manure on corn silage yield, soil properties and greenhouse gas emissions; and 7) Characterize geospatial variability of soil carbon, nitrogen and phosphorus in grazed pastures.
Approach:
Apply advanced experimental designs and statistical methods to four ongoing studies conducted at ARS in Madison, WI: 1) Evaluate the association between Runoff Risk Advisory Forecast (RRAF) forecasts and microbial contamination of private household wells in the dairy region of northeastern Wisconsin; 2) Occurrence and distribution of microbial contamination (including antibiotic resistance genes) in southwest Wisconsin groundwater as function of land use, precipitation, and hydrogeology; 3) Using machine learning for predictive modeling of microbial contamination in groundwater; 4) Develop SAS macro for determining isotope composition of forage samples from mass spectrometry data; 5) Validate SAS macro against existing data set; 6) Analyze impact of dairy manure on corn silage yield, soil properties and greenhouse gas emissions; and 7) Characterize geospatial variability of soil carbon, nitrogen and phosphorus in grazed pastures.
