A research tool for calculating estimated historical yield loss in corn and soybean from diseases
The purpose this calculator is to share economically important information on estimated crop losses from disease with those engaged in plant pathology research, education, and policy formation. This online calculator can query multiple types of production and yield loss due to disease data for a variety of user-defined or predetermined factors including geographic area and timeframe. It is important to note the limitations of this tool including the fact that loss values here are expert estimates and not actual loss values. Also, not all data categories are available for all locations and all years, and disease categories changed slightly over the years.
The Corn Disease Working Group (CDWG), the North Central Research and Extension Activity (NCERA) 137 Soybean Disease Committee and the Southern Soybean Disease Workers revise disease loss estimates annually. Methods for estimating disease loss vary by state or province and year. Estimates may be based on statewide disease surveys; feedback from university Extension, industry, government, and farmer representatives; and personal experience with disease losses.
Loss values are based on production before estimated losses for each state or province:
Bushels or USD harvested / (100 - total percent estimated disease loss) ÷ 100
Then, total bushels or USD lost per disease for each state or province are formulated:
(percent loss ÷ 100) x yield before estimated losses
Average loss values in USD per acre are determined by dividing economic losses by acres planted.
Not all data categories are available for all locations and all years, and disease categories changed slightly over the years.
This information is only a guide. The values in this publication are not intended to be exact values of corn yield losses due to diseases, and some data are missing for certain years and locations. Contributors used the most appropriate means available to estimate disease losses and assume no liability resulting from the use of these estimates.
Reference to products in this publication is not intended to be an endorsement to the exclusion of others that may be similar. Individuals using such products assume responsibility for their use in accordance with current directions of the manufacturer.
The Crop Protection Network (CPN) is a multi-state and international collaboration of university and provincial extension specialists, and public and private professionals who provide unbiased, research-based information to farmers and agricultural personnel. Our goal is to communicate relevant information that will help professionals identify and manage field crop diseases.
Annual disease loss summaries for selected years can be found here.
Find more crop disease resources at the Crop Protection Network.
Text and images:
Daren Mueller and Adam Sisson
Tom Allen, Carl Bradley, Steve Koenning, Daren Mueller, Adam Sisson, and Allen Wrather
Tom Allen, Gary Bergstrom, Bruce Bosley, Carl Bradley, Kirk Broders, Emmanuel Byamukama, Martin Chilvers, Cliff Coker, Alyssa Collins, John Damicone, Anne Dorrance, Nicholas Dufault, Paul Esker, Travis Faske, Andrew Friskop, Loren Giesler, Arvydas Grybauskas, Ron Heiniger, Donald Hershman, Clayton Hollier, David Hooker,Tom Isakeit, Tamra Jackson-Ziems, Douglas Jardine, Heather Kelly, Robert Kemerait, Kasia Kinzer, Nathan Kleczewski, Steve Koenning, James Kurle, Dean Malvick, Sam Markell, James Marois, Marcia McMullen, Hillary Mehl, Ron Meyer, Daren Mueller, John Mueller, Robert Mulrooney, Berlin Nelson, Melvin Newman, Larry Osborne, Charles Overstreet, Guy Padgett, Patrick Phipps, Paul Price, Alison Robertson, Gregory Roth, Edward Sikora, Adam Sisson, Damon Smith, Terry Spurlock, Connie Tande, Albert Tenuta, Paul Vincelli, Fred Warner, Bill Wiebold, Kiersten Wise, and Allen Wrather.
Contributors to this publication include members of the Corn Disease Working Group, North Central Research and Extension Activity 137 Soybean Disease Committee, and the Southern Soybean Disease Workers. These university and extension scientists represent many institutions, including: University of Arkansas, Clemson University, Colorado State University, Cornell University, University of Delaware, University of Florida, University of Georgia, University of Guelph, University of Illinois, Iowa State University, Kansas State University, University of Kentucky, Louisiana State University, Michigan State University, University of Minnesota, Mississippi State University, University of Missouri, University of Nebraska, North Carolina State University, North Dakota State University, The Ohio State University, Oklahoma State University, Ontario Ministry of Agriculture, Food and Rural Affairs, Pennsylvania State University, Purdue University, South Dakota State University, University of Tennessee, Texas A&M University, Virginia Tech, and University of Wisconsin-Madison
Estimates of corn and soybean yield losses due to disease: an online tool. 2019. Crop Protection Network. Web Address. Date of data access.
Yield and USD production values obtained from:
United States Department of Agriculture - National Agriculture Statistics Service (USDA-NASS). Quick Stats 2.0. Https://www.nass.usda.gov/Quick_Stats/index.php.
Statistics Canada: Field Crop Reporting Series.Ontario Ministry of Agric., Food, and Rural Affairs, Guelph. Http://www.omafra.gov.on.ca/english/stats/crops/index.html
Additional Canadian data from:
Wrather, J.A., Anderson, T.R., Arsyad, D.M., Tan, Y., Ploper, L.D., Porta-Puglia, A., Ram, H.H., and Yorinori, J.T. 2001. Soybean disease loss estimates for the top ten soybean-producing countries in 1998. Can. J. Plant Pathol. 23: 115-121.
Wrather, J. A., Koenning, S. R., and Anderson, T. R. 2003. Effect of diseases on soybean yields in the United States and Ontario (1999-2002). Online. Plant Health Progress doi:10.1094/PHP-2003-0325-01-RV.
In addition to support from USDA-NIFA, this project was funded in part through Growing Forward 2 (GF2), a federal-provincial territorial initiative. The Agricultural Adaptation Council assists in the delivery of GF2 in Ontario.
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