Benchmarking soybean production systems in the North Central USA
Sustainable Production
Field management Nutrient managementSoil healthTillageYield trials
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Patricio Grassini, University of Nebraska
Co-Principal Investigators:
Patricio Grassini, University of Nebraska
Shawn Conley, University of Wisconsin
+1 More
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

We propose a 3-year collaborative (interdisciplinary and interuniversity) regional project, that will be Co-directed by PIs at the University of Nebraska-Lincoln and University of Wisconsin-Madison, with collaborators in OH, MI, IA, IN, MN, KS, IL, and ND. The primary goal of the proposed project is to “benchmark” current yield and management practices in producer fields across the NC-USA region. That “benchmark data” will help to identify those KEY management factors in each state (and across the NC USA region) that can be used by individual producers to increase soybean yield on their farms, and do that with an input-use efficiency that will improve bottom-line net profit. We believe that...

Unique Keywords:
#applied inputs, #big data, #crop management systems, #database, #management, #producer data, #producer fields, #soybean, #spatial analysis, #yield gap, #yield potential
Information And Results
Project Deliverables

The project will have a total duration of 36 months, and we propose the following timeline for the different component of the project (number of circles is proportional to overall effort involved in each task):

Note that data collection during April-Sept is difficult because producers are typically very busy during the crop season, hence, we will focus our efforts in collecting the data during the winter time. In turn, efforts spent on data assimilation will be greatest after data collection (that is, cleaning and inputting of the producer-reported data into a digital database). Still, the data assimilation and data analysis components of the proposed project will start from the very beginning of this project, by assessing the available statistical methods that we will subsequently apply to the data and screening existing soil and weather databases to determine the most appropriate data sources and to develop methods to extract and quality control that soil and weather data that will be used for the subsequent analysis. Dissemination of results will not start until the Year 2 of the project, after analysis of the data collecting in Year 1. Dissemination will increase gradually in Years 2 and 3 as the database includes more years and locations.

Final Project Results

See attached final report

View uploaded report PDF file

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.