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Insecticide use and crop selection in regions with high GM adoption rates

Published online by Cambridge University Press:  19 December 2011

Scott W. Fausti ,
Tia Michelle McDonald ,
Jonathan G. Lundgren ,
Jing Li ,
Ariel Ruth Keating  and
Mike Catangui
Scott W. Fausti*
Affiliation:
Department of Economics, South Dakota State University, Box 504, 104 Scobey Hall, Brookings, SD 57007-0895, USA.
Tia Michelle McDonald
Affiliation:
Purdue University, West Lafayette, IN 47907, USA.
Jonathan G. Lundgren
Affiliation:
USDA-ARS, North Central Agricultural Research Laboratory, Brookings, SD 57006, USA.
Jing Li
Affiliation:
Department of Economics, University of Miami Ohio, OH, USA.
Ariel Ruth Keating
Affiliation:
DeBruce Grain Inc., 1700 East Front Street, Fremont, NE 68025, USA.
Mike Catangui
Affiliation:
47153 S. Clubhouse Road Sioux Falls, SD 57108, USA.
*
*Corresponding author: Scott.Fausti@sdstate.edu
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Abstract

South Dakota has been a leading adopter of genetically modified organism (GM) crops since their introduction in 1996. In 2009, South Dakota shared the top adoption rate with Iowa for the percentage of acres planted with Bt corn. However; South Dakota has also recently experienced a significant increase in the proportion of acres treated with insecticide. The empirical evidence presented suggests that corn, hay and sunflower production in South Dakota have experienced an intensification of insecticide use in 2007 relative to past US Census of Agriculture reporting years. This study links the proportion of acres planted for a specific crop to the proportion of total acres treated with insecticide at the county level. This approach provides insight on how changing cropping patterns in South Dakota have influenced insecticide use. Empirical results indicate that the upper-bound estimate for insecticide usage on non-Bt corn acreage increased from 38% in 2002 to all non-Bt corn acres planted in 2007. The implication of this result is that in 2007 South Dakota producers were likely treating a percentage of their Bt corn acres with insecticide. Changing cropping patterns in South Dakota are also compared to that in other states in the US Corn Belt region. It appears that the South Dakota experience is not unique and is part of a broader trend.

Keywords

insecticidesgenetically modified organismtargeted insect pestscrop productionpest management practices
Type
Research Papers
Information
Renewable Agriculture and Food Systems , Volume 27 , Issue 4 , December 2012 , pp. 295 - 304
Copyright
Copyright © Cambridge University Press 2011

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References

1United States Bureau of Economic Analysis. 2009. Gross domestic product by state. Available at Web site: http://www.bea.gov/regional/gsp/ (accessed November 19, 2009).Google Scholar
2Qasmi, B.A., Hamda, Y., and Fausti, S.W. 2009. Impacts of Dramatic Increase in Corn Based Ethanol Production on Grain Production and Marketing Patterns in South Dakota. South Dakota State University, Department of Economics, Brookings, SD. Available at Web site: http://purl.umn.edu/113045 (accessed August 15, 2012).Google Scholar
3National Agriculture Statistics Service. 2011. South Dakota agriculture 2011. Available at Web site: http://www.nass.usda.gov/Statistics_by_State/South_Dakota/Publications/Annual_Statistical_Bulletin/2011/toc11.asp (accessed June 9, 2011).Google Scholar
4Economic Research Service. Adoption of genetically engineered crops in the US. Available at Web site: http://www.ers.usda002Egov/data/biotechcrops/ (accessed May 14, 2010).Google Scholar
5Economic Research Service. 2009. Supplemental Tables.ERS.GM.pdf. Available at Web site: http://www.organic-center.org/reportfiles/SupplementalTablesv2.pdf (accessed June 4, 2010).Google Scholar
6National Agriculture Statistics Service. 2007. Agriculture census. Available at Web site: http://www.agcensus.usda.gov.Google Scholar
7Osteen, C. and Livingston, M. 2000. Pest management practices. Agricultural Resources and Environmental Indicators 4:3.Google Scholar
8Lewis, W.J., van Lenteren, J.C., Phatak, S.C., and Tumilnson, J.H. III. 1997. A total system approach to sustainable pest management. Proceedings of the National Academy of Sciences of the United States of America 94:12243–12248.Google Scholar
9Crowder, D.W., Northfield, T.D., Strand, M.R., and Snyder, W.E. 2010. Organic agriculture promotes evenness and natural pest control. Nature 466:109–112.Google Scholar
10Lundgren, J.G. and Fergen, J.K. 2011. Enhancing predation of a subterranean insect pest: A conservation benefit of winter vegetation in agroecosystems. Applied Soil Ecology 51:9–16.Google Scholar
11Lazarus, W.F. and Swanson, E.R. 1983. Insecticide use and crop rotation under risk: Rootworm control in corn. American Journal of Agricultural Economics 65:738–747.CrossRefGoogle Scholar
12Foster, R.E., Tollefson, J.J., Nyrop, J.P., and Hein, G.L. 1986. Value of adult corn rootworm (Coleoptera: Chrysomelidae) population estimates in pest management decision making. Journal of Economic Entomology 79:303–310.CrossRefGoogle Scholar
13Fernandez-Cornejo, J. and Li, J. 2005. The impacts of adopting genetically engineered crops in the USA: The case of Bt corn. In Paper presented at American Agricultural Economics Association Annual Meeting, Rhode Island, July 24–27.Google Scholar
14Vialou, A., Nebring, R., Fernandez-Cornejo, J., and Grube, A. 2008. Impact of GM crop adoption on quality-adjusted pesticide use in corn and soybeans: A full picture. In Paper presented at the American Agricultural Economics Association Annual Meeting, Orlando, FL, July 27–29.Google Scholar
15Dill, G.M., CaJacob, C.A., and Padgette, S.R. 2008. Glyphosate-resistant crops: Adoption, use and future considerations. Pesticide Management Science 64:326–331.Google Scholar
16Fitt, G.P. 2008. Have Bt crops led to changes in insecticide use patterns and impacted IPM? In Romeis, J., Shelton, A.M. and Kennedy, G.G. (eds). Integration of Insect-Resistant Genetically Modified Crops within IPM Programs. Progress in Biological Control, Vol. 5. Springer Science and Business Media, Dordrecht, The Netherlands. p. 303–328.Google Scholar
17Fernandez-Cornejo, J. and McBride, W. 2002. Adoption of bioengineered crops. Agricultural Economic Report 810. http://www.ers.usda.gov/publications/aer810/ (accessed December 8, 2011).Google Scholar
18Alston, J.M., Hyde, J., Marra, M.C., and Mitchell, P.D. 2002. An ex ante analysis of the benefits from the adoption of corn rootworm resistant transgenic corn technology. AgBioForum (3):article 1.Google Scholar
19Benbrook, C. 2009. Impacts of genetically engineered crops on pesticide use in the United States: The first thirteen years. The Organic Center at www.organic-center.org (accessed December 8, 2011).Google Scholar
20Fernandez-Cornejo, J. and Caswell, M. 2006. The first decade of genetically engineered crops in the United States. ERS-Economic Information Bulletin 11 (April). Available at Web site: http://www.ers.usda.gov/publications/eib11/eib11.pdf. (downloaded July, 2011).Google Scholar
21Meihls, L.N., Higdon, M.L., Siegfried, B.D., Miller, N.J., Sappington, T.W., Ellersieck, M.R., Spencer, T.A., and Hibbard, B.E. 2008. Increased survival of western corn rootworm on transgenic corn within three generations of on-plant greenhouse selection. Proceedings of the National Academy of Sciences of the United States of America 105:19177–19182.Google Scholar
22Gassmann, A.J., Petzold-Maxwell, J.L., Keweshan, R.S., and Dunbar, M.W. 2011. Field-evolved resistance to Bt maize by western corn rootworm. PLoS One 6:e22629.Google Scholar
23Catangui, M. 2002. Soybean aphid in South Dakota. South Dakota State University Cooperative Extension Service Fact Sheet 914. December. Available at Web site: http://pubstorage.sdstate.edu/AgBio_Publications/articles/FS914.pdf (accessed July, 2010).Google Scholar
24Catangui, M. 2001. Evaluation of control practices in South Dakota alfalfa weevil. South Dakota State University Cooperative Extension Service Fact Sheet 011. December.Google Scholar
25Knodel, J.J., Charlet, L.D., and Gavloski, J. 2010. Integrated pest management of sunflower insect Pests in the Northern Great Plains. North Dakota State University Extension Service, E1457. February. Available at Web site: http://www.ag.ndsu.edu/pubs/plantsci/pests/e1457.pdf (accessed June 8, 2010).Google Scholar
26Allison, P.D. 2006. Fixed effects regression methods in SAS. In Paper presented at the SUGI Proceedings, San Francisco, California, March 26–29.Google Scholar
27Wooldridge, J.M. 2000. Introductory Econometrics: A Modern Approach. South-Western College Publishing, USA.Google Scholar
28National Agriculture Statistics Service. 2010. Quick Stats U.S. & All States Data – Crops. Available at Web site: http://www.nass.usda.gov/QuickStats/Create_Federal_All.jsp (accessed June 9, 2010).Google Scholar
29Cameron, A.C. and Trivedi, P.K. 2003. Microeconometrics: Methods and Applications. Cambridge University Press, New York.Google Scholar
30Burrows, T.M. 1983. Pesticide demand and integrated pest management: A limited dependent variable analysis. American Journal of Agricultural Economics 65:806–810.CrossRefGoogle Scholar
31Bramati, M.C. and Croux, C. 2007. Robust estimators for the fixed effects panel data model. Econometrics Journal 10:521–540.CrossRefGoogle Scholar
32Elbert, A., Haas, M., Springer, B., Thielert, W., and Nauen, R. 2008. Applied aspects of neonicotinoid uses in crop protection. Pest Management Science 64:1099–1105.Google Scholar
33Seagraves, M.P. and Lundgren, J.G. 2012. Effects of neonicotinoid seed treatments on soybean aphid and its natural enemies. Journal of Pest Science (in press).CrossRefGoogle Scholar