Project Details:

Combining Integrated Pest Management with Climate Change, Mitigation, and Adaptation in Soybean-Corn Cropping Systems (Year 1 and 2 of 1161)

Parent Project: This is the first year of this project.
Checkoff Organization:United Soybean Board
Categories:Climate change, Crop management systems, Soil and tillage management
Organization Project Code:1161
Project Year:2012
Lead Principal Investigator:Daren Mueller (Iowa State University)
Co-Principal Investigators:
Aaron Gassmann (Iowa State University)
Leonor Leandro (Iowa State University)
Matthew O'Neal (Iowa State University)
Alison Robertson (Iowa State University)
Gregory Tylka (Iowa State University)
X B Yang (Iowa State University)
Martin Chilvers (Michigan State University )
Kiersten Wise (Purdue University)
Andy Michel (The Ohio State University)
Vince Davis (University of Illinois-Carbondale)
Darin Eastburn (University of Illinois-Carbondale)
Dean Malvick (University of Minnesota)
Bruce Potter (University of Minnesota)
Kevin Bradley (University of Missouri)
Paul Esker (University of Wisconsin)
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Contributing Organizations

Funding Institutions

Information and Results

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Project Summary

A team of 16 scientists across eight states in the Heartland (Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, and Wisconsin) will work within a larger group that are addressing the societal challenge to mitigate and adapt the North Central soybean-corn cropping system to climate change. The vision is to create a coordinated functional network to develop science-based knowledge on climate mitigation and adaptation that informs policy development and guides on-farm, watershed level, and public decision making. Standardized protocols and a network of 21 carefully selected sites will be used to provide baseline measurements on pests (i.e., weeds, diseases and insects) to complement a great data set that includes greenhouse gases, carbon, nitrogen, and water usage data and to evaluate a suite of crop management practices. These include tillage, cover crops, crop rotations and drainage water management.

Data from these sites will be archived in a central database and used in conjunction with public climate data. Physical, climate, sociological and economic models will be applied in an iterative way to establish strengths and weaknesses of a set of cropping practices. Lifecycle analyses, social, and economic findings will be used to develop public policy recommendations and engage producers and stakeholders in managing for climate uncertainty and environmental sustainability. This project builds capacity for extension to address how climate change affects soybean production needs of stakeholders, and prepares the next generation of scientists for interdisciplinary research on the intersection of agriculture and climate.

Project Objectives

1. Determine the effect of agronomic practices (cover crop management) on water, nitrogen, and carbon footprints including soybean biomass.
2. Evaluate the impacts of the suite of crop management practices tested in the CSCAP project on pests.
3. Up-scaling findings from field tests of crop management practices to larger scales.
4. Develop extension material to educate growers on how climate affects pests.

Project Deliverables

We will measure soil-borne pests (e.g., nematode populations), foliar diseases incidence and severity, insect populations and weed populations at each appropriate location outlined in the USDA climate project. This information will complement the soil, agronomic and climatic data already being collected. These data will be archived in a publicly available database.
Our research team will also train the field researchers and graduate students in their deployment. We will also develop a rigorous training and quality control process to ensure that the measurements are accurate and consistent across the network of field sites and over time.

Progress of Work

Final Project Results

Benefit to Soybean Farmers

Performance Metrics

Performance Measure(s) for Strategy 1
Approach for Objective 1: We will communicate as a team to determine necessary protocols for collection of IPM-based information. Teleconference fees will be paid by the USDA climate project. Personnel in each state will be responsible for collection of in-field data. However, data on certain specific pests (e.g., soybean cyst nematodes) will be sent to appropriate states for processing. For example, all soybean cyst nematode counts will be enumerated at Iowa State University in Dr. Greg Tylka’s laboratory.
Performance Measure(s) for Strategy 2
Approach for Objective 2. The primary activity of Objective 2 is identify specific IPM-based studies that will fit within the parameters of existing network of 21 carefully chosen field sites, each with multiple plots and subplots, across eight states. Each site has a soybean-corn rotation system that will be used for baseline measurements. Measurements from these control plots will be compared to results from plots subjected to a suite of crop and tillage management practices. These practices include no-till (NT), extended crop rotations, drainage water management, cover crops, and canopy N-sensors. Data will be archived in the Central Database.
Performance Measure(s) for Strategy 3
We will assess differences in diseases, weeds and insect pests in different management and climate situations through modeling. We also will be evaluating specific management differences through research on larger scales. Data collected will match the specific requirements of the USDA NIFA project before being added to their database. The modeler will work with the team of modelers on the USDA NIFA project to maximize efficiency.
Performance Measure(s) for Strategy 4
As we identify topics for publications, fact sheets, pod casts we will identify appropriate personnel to lead these projects. We will work with local soybean associations and the USB to ensure content is appropriate for their soybean growers.

Project Years