Query multiple types of production and estimated yield loss data by timeframe, disease, and geographic area*
- Select desired start year and end year. For a single year of data choose the same year for both start and end.
- Select a disease category, which will autofill the diseases.
- Select one or multiple diseases.
- Further define geographic area by country, region, or select one or multiple states.
- Click on Search and results will display.
- Further details are available by clicking on Production and Losses within results.
- If specific diseases or states are not selected, the output will include values for all diseases and states present in the selection boxes.
- NA means data not collected for that year and geographic location.
*Not all data categories are available for all locations and all years, and disease categories changed as data collection progressed.
- Economic data for 2022 is not yet available, but will be updated when possible. Subsequently, any queries involving 2022 will not include this data.
- Yield loss data is reported as 480 lb. bales.
- Cotton loss data by state is available for the following states and years:
- AL, AZ, AR, CA, GA, LA, MS, MO, NM, NC, OK, SC, TN, TX beginning 1965.
- FL and VA beginning 1998.
- KS beginning 2019.
- NC data is not available for 2016.
- AZ data is not available for 2017.
- Cotton loss data by disease is available for the following diseases and years:
- “Ascochyta blight,” "Bacterial blight," "Boll rots," "Fusarium wilt," "Leaf spots and others," "Root knot nematode," "Seedling disease," "Texas root rot," and "Verticillium wilt" beginning 1965.
- “Reniform nematode” and "Other nematodes" beginning 2000.
- “Cotton viruses” beginning 2018.
- “Alternaria leaf spot,” “Areolate mildew,” “Cercospora leaf spot,” “Stemphylium leaf spot,” “Target spot,” and “Other diseases” were added as distinct disease categories after 2021, replacing the “Leaf spots and others” disease category starting in 2022.
- Boll rots in 2022 in South Carolina includes hardlock on bottom bolls from multiple causes.
- These data are expert estimates only. Because data was obtained from differing sources, discrepancies among years and locations may exist that cannot be accounted for.
- Production and crop value data obtained from the United States Department of Agriculture - National Agriculture Statistics Service (USDA-NASS). Quick Stats 2.0.
- Loss estimate data obtained from compilers/contributors and/or the National Cotton Council of America at www.cotton.org.
- USD production values for each state were determined by dividing the total U.S. cotton USD production value for a particular year by the number of 480 lb. bales produced in the U.S. that same year to obtain a per bale USD. The result was multiplied by the number of bales produced in each state for a final USD production for each state and year.
- Total cotton production in 480 lb. bales and acres planted was not available for California, New Mexico, and Texas from 1964 through 1973. Thus, values were determined by adding Pima and upland cotton values to arrive at an a total for each state and year of missing data.
- Inflation has NOT been accounted for in reported USD values.
How to cite information from this resource:
Crop Protection Network. 2023. Estimates of crop yield losses due to diseases and invertebrate pests: an online tool. Https://loss.cropprotectionnetwork.org/. Doi.org/10.31274/cpn-20191121-0
For more information about disease loss data, please see the About page.
Losses caused by cotton disease data is also available at https://www.cotton.org/beltwide/proceedings/2005-2022/.
Kathy Lawrence, Auburn University and Travis Faske, University of Arkansas
Contributors 2013 to 2022
Kathy Lawrence, Austin Hagan, and Amanda Strayer-Scherer, Auburn University; Jiahuai Hu, Randy Norton, and Mary Olsen, University of Arizona; Travis Faske, University of Arkansas; Robert Hutmacher, University of California; John Mueller, Clemson University; Zane Grabau, Jim Marois, Ian Small, and David Wright, University of Florida; Bob Kemerait, University of Georgia; Rodrigo Borba Onofre and Doug Jardine, Kansas State University; Charlie Overstreet, Paul Price, and Tristan Watson, Louisiana State University; Tom Allen, Gary Lawrence, and Gabe Sciumbato, Mississippi State University; Sam Atwell, Kaitlyn Bissonnette, Andrea Jones, Calvin Meeks, and Bradley Wilson, University of Missouri; Natalie Goldberg, John Idowu, and Steve Thomas, New Mexico State University; Guy Collins, Keith Edmisten, Steve Koenning, and Lindsey Thiessen, North Carolina State University; Randy Boman, Seth Byrd, and Jerry Goodson, Oklahoma State University; Heather Kelly, University of Tennessee; Tom Isakeit, Cecilia Monclova-Santana, Terry Wheeler and Jason Woodward, Texas A&M University; and David Langston and Hillary Mehl, Virginia Tech.
Contributors 2004 to 2012
Kathy Lawrence and William Gazaway, Auburn University; Mary Olsen, University of Arizona; Terry Kirkpatrick and Scott Monfort, University of Arkansas; Rebecca Bennett, Mike Davis, and Robert Hutmacher, University of California; John Mueller, Clemson University; Jim Marois and Richard K. Sprenkel, University of Florida; Bob Kemerait, University of Georgia; Patrick Colyer, Louisiana State University; Don Blasingame, Gary Lawrence, Gabe Sciumbato, and Mukund V. Patel, Mississippi State University; Allen Wrather, University of Missouri; Natalie Goldberg, New Mexico State University; Steve Koenning, North Carolina State University; J.C. Banks, Randy Boman, and J. Terry Pitts, Oklahoma State University; Melvin Newman, University of Tennessee; Harold Kaufman, Terry Wheeler, and Jason Woodward, Texas A&M University; and Patrick Phipps, Virginia Tech.