Hostname: page-component-76fb5796d-2lccl Total loading time: 0 Render date: 2024-04-25T10:56:28.929Z Has data issue: false hasContentIssue false
  • English
  • Français

Potential yield loss in grain sorghum (Sorghum bicolor) with weed interference in the United States

Published online by Cambridge University Press:  20 January 2020

J. Anita Dille Open the ORCID record for J. Anita Dille [Opens in a new window] ,
Phillip W. Stahlman ,
Curtis R. Thompson ,
Brent W. Bean ,
Nader Soltani  and
Peter H. Sikkema
J. Anita Dille*
Affiliation:
Professor and Emeritus Professor, Kansas State University, ManhattanKS, USA
Phillip W. Stahlman
Affiliation:
Emeritus Professor, Kansas State University, Agricultural Research Center, Hays, KS, USA
Curtis R. Thompson
Affiliation:
Professor and Emeritus Professor, Kansas State University, ManhattanKS, USA
Brent W. Bean
Affiliation:
Director of Agronomy, United Sorghum Checkoff Program, Lubbock, TX, USA
Nader Soltani
Affiliation:
Adjunct Professor and Professor, University of Guelph Ridgetown Campus, Ridgetown, ON, Canada
Peter H. Sikkema
Affiliation:
Adjunct Professor and Professor, University of Guelph Ridgetown Campus, Ridgetown, ON, Canada
*
Author for correspondence: J. Anita Dille, Department of Agronomy, Kansas State University, 1022 Throckmorton PSC, 1712 Claflin Road, Manhattan, KS66506. Email: dieleman@ksu.edu
Get access Rights & Permissions [Opens in a new window]

Abstract

Potential yield losses in grain sorghum due to weed interference based on quantitative data from the major grain sorghum-growing areas of the United States are reported by the WSSA Weed Loss Committee. Weed scientists and extension specialists who researched weed control in grain sorghum provided data on grain sorghum yield loss due to weed interference in their region. Data were requested from up to 10 individual experiments per calendar year over 10 yr between 2007 and 2016. Based on the summarized information, farmers in Arkansas, Kansas, Missouri, Nebraska, South Dakota, and Texas would potentially lose an average of 37%, 38%, 30%, 56%, 61%, and 60% of their grain sorghum yield with no weed control, and have a corresponding annual monetary loss of US $19 million, 302 million, 7 million, 32 million, 25 million, and 314 million, respectively. The overall average yield loss due to weed interference was estimated to be 47% for this grain sorghum-growing region. Thus, US farmers would lose approximately 5,700 million kg of grain sorghum valued at approximately US $953 million annually if weeds are not controlled. With each dollar invested in weed management (based on estimated weed control cost of US $100 ha−1), there would be a return of US $3.80, highlighting the return on investment in weed management and the importance of continued weed science research for sustaining high grain sorghum yield and profitability in the United States.

Keywords

Grain sorghum, Sorghum bicolor (L.) MoenchHerbicidesintegrated weed managementmonetary lossoptimal agronomic practicesweed competition
Type
Education/Extension
Information
Weed Technology , Volume 34 , Issue 4 , August 2020 , pp. 624 - 629
Copyright
© Weed Science Society of America, 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Associate Editor: William Johnson, Purdue University

References

Advanta (2018) Advanta Seeds launched igrowthTM new herbicide tolerance technology for grain sorghum. http://advantaus.com/advanta-seeds-launched-igrowth-new-herbicide-tolerance-technology-for-grain-sorghum. Accessed: August 7, 2019Google Scholar
Albers, JJ (2018) Grass weed ecology and control of atrazine-resistant Palmer amaranth (Amaranthus palmeri) in grain sorghum (Sorghum bicolor). MS thesis. Manhattan, KS: Kansas State University. 91 pGoogle Scholar
Bridges, DC (1992) Crop losses due to weeds in Canada and United States. Champaign, IL: Weed Science Society America Weed Loss Committee. 403 pGoogle Scholar
Burnside, OC, Wicks, GA (1967) The effect of weed removal treatments on sorghum growth. Weeds 15:204–207CrossRefGoogle Scholar
Burnside, OC, Wicks, GA (1969) Influence of weed competition on sorghum growth. Weed Sci 17:332–334CrossRefGoogle Scholar
Burnside, OC, Wicks, GA, Warnes, DD, Somerhalder, BR, Weeks, SA (1969) Effect of weeds on harvesting efficiency in corn, sorghum, and soybeans. Weed Sci 17:438–441CrossRefGoogle Scholar
Chandler, JM, Hamill, AS, Thomas, AG (1984) Crop losses due to weeds in Canada and the United States. WSSA special publication. Champaign, IL: Weed Science Society of AmericaGoogle Scholar
Ciampitti, IA, Ruiz Diaz, D, Jardine, E, Peterson, DE, Hay, MM, Whitworth, RJ, Rogers, DH (2019) Kansas Sorghum Management 2019. Pub MF3064 (Rev.). Manhattan, KS: Kansas State University. 8 pGoogle Scholar
Crist, D (2019) IgrowthTM sorghum on the horizon. Sorghum Grower, Summer 2019 Edition:6–7Google Scholar
Franke, TC, Kelsey, KD, Royer, TA (2017) Pest management needs assessment for Oklahoma grain sorghum producers. OSU Extension Fact Sheet EPP-7082. http://factsheets.okstate.edu/documents/epp-7082-pest-management-needs-assessment-for-oklahoma-grain-sorghum-producers. Accessed: June 19, 2019Google Scholar
Fromme, DD, Dotray, PA, Grichar, WJ, Fernandez, CJ (2012) Weed control and grain sorghum (Sorghum bicolor) tolerance to pyrasulfotole plus bromoxynil. Int J Agron 2012, 10.1155/2012/951454CrossRefGoogle Scholar
Fromme, DD, Grichar, WJ, Dotray, PA, Fernandez, CJ (2014) Grain sorghum tolerance and weed control with pyrasulfotole plus bromoxynil combinations. Crop Management 12, 10.1094/CM-2013-0010-RSGoogle Scholar
Hennigh, DS, Al-Khatib, K, Currie, RS, Tuinstra, MR, Geier, PW, Stahlman, PW, Claassen, MM (2010) Weed control with selected herbicides in acetolactate synthase–resistant sorghum. Crop Prot 29:879–883CrossRefGoogle Scholar
Hewitt, CA (2015) Effect of row spacing and seeding rate on grain sorghum tolerance of weeds. MS thesis. Manhattan, KS: Kansas State University. 94 pGoogle Scholar
Ibendahl, G, O’Brien, D, Shoup, D (2019) 2020 Grain sorghum cost–return budget in south central Kansas––average yield. https://www.agmanager.info/farm-mgmt-guides/2020-farm-management-guides-non-irrigated-crops. Accessed: February 21, 2020Google Scholar
Knezevic, SZ, Horak, MJ, Vanderlip, RL (1997) Relative time of redroot pigweed (Amaranthus retroflexus) emergence is critical in pigweed-sorghum (Sorghum bicolor) competition. Weed Sci 45:502–508CrossRefGoogle Scholar
Moore, JW, Murray, DS, Westerman, RB (2004) Palmer amaranth (Amaranthus palmeri) effects on the harvest and yield of grain sorghum (Sorghum bicolor). Weed Technol 18:23–29CrossRefGoogle Scholar
Peerzada, AM, Ali, HH, Chauhan, BS (2017) Weed management in sorghum [Sorghum bicolor (L.) Moench] using crop competition: a review. Crop Prot 95:74–80CrossRefGoogle Scholar
Peterson, DE, Fick, WH, Currie, RS, Kumar, V, Slocombe, JW (2019) 2019 Chemical Weed Control for Field Crops, Pastures, Rangeland, and Noncropland. Report of Progress 1148. Manhattan, KS: Kansas State University. 143 pGoogle Scholar
Smith, BS, Murray, DS, Green, JD, Wanyahaya, WM, Weeks, DL (1990) Interference of three annual grasses with grain sorghum (Sorghum bicolor). Weed Technol 4:245–249CrossRefGoogle Scholar
Soltani, N, Dille, JA, Burke, IC, Everman, WJ, VanGessel, MJ, Davis, VM, Sikkema, PH (2016) Potential corn yield losses from weeds in North America. Weed Technol 30:979–984CrossRefGoogle Scholar
Soltani, N, Dille, JA, Burke, IC, Everman, WJ, VanGessel, MJ, Davis, VM, Sikkema, PH (2017) Perspectives on potential soybean yield losses from weeds in North America. Weed Technol 31:148–154CrossRefGoogle Scholar
Soltani, N, Dille, JA, Gulden, R, Sprague, C, Zollinger, R, Morishita, DW, Lawrence, NC, Sbatella, GM, Kniss, AR, Jha, P, Sikkema, PH (2018a) Potential yield loss in dry bean crops due to weeds in the United States and Canada. Weed Technol 32:342–346CrossRefGoogle Scholar
Soltani, N, Dille, JA, Robinson, DE, Sprague, CL, Morishita, DW, Lawrence, NC, Kniss, AR, Jha, P, Felix, J, Nurse, RE, Sikkema, PH (2018b) Potential yield loss in sugar beet due to weed interferences in the United States and Canada. Weed Technol 32:749–753CrossRefGoogle Scholar
Staggenborg, S, Rogers, D, Thompson, C, Jardine, D, Roozeboom, K, Whitworth, J, Gordon, WB, Harner, J, Taylor, R (2010) Central and Eastern Plains Production Handbook. United Sorghum Checkoff Program. https://www.sorghumcheckoff.com. Accessed: June 19, 2019Google Scholar
Stahlman, PW, Wicks, GA (2000) Weeds and their control in grain sorghum. Pages 535–590in Smith, CW, Frederiksen, RA, eds, Sorghum: Origin, History, Technology, and Production. New York: WileyGoogle Scholar
Tapio, P, Paloniemi, R, Varho, V, Vinnari, M (2011) The unholy marriage? Integrating qualitative and quantitative information in Delphi processes. Technol Forecasting Social Change 78:1616–1628CrossRefGoogle Scholar
Thompson, CR, Dille, JA, Peterson, DE (2019) Weed competition and management in sorghum. Pages 347–360in Ciampitti, I, Prasad, V, eds, Sorghum: State of the Art and Future Perspectives. Agronomy Monograph 58, 10.2134/agronmonogr58.2014.0071CrossRefGoogle Scholar
Unruh, BJ (2013) Influence of nitrogen on weed growth and competition with grain sorghum. MS thesis. Manhattan, KS: Kansas State University. 66 pGoogle Scholar
[USCP] United Sorghum Checkoff Program (2016) All about sorghum. https://www.sorghumcheckoff.com/all-about-sorghum. Accessed: June 19, 2019Google Scholar
[USCP] United Sorghum Checkoff Program (2019) Killing weeds who are killing yield. USCP Summer 2019 Newsletter. https://www.sorghumcheckoff.com/news-and-media/uscp-newsletters. Accessed: August 7, 2019Google Scholar
[USDA-NASS] United States Department of Agriculture–National Agricultural Statistics Service (2019a) Crop Values Annual Summary. https://usda.library.cornell.edu/concern/publications/k35694332?locale=en. Accessed: June 19, 2019Google Scholar
[USDA-NASS] United States Department of Agriculture–National Agricultural Statistics Service (2019b) Sorghum. https://www.nass.usda.gov/Charts_and_Maps/A_to_Z/in-sorghum.php. Accessed: June 19, 2019Google Scholar
[USDA-NASS] United States Department of Agriculture–National Agricultural Statistics Service (2019c) Quick Stats Tools. https://www.nass.usda.gov/Quick_Stats/index.php. Accessed: June 19, 2019Google Scholar
Vanderlip, RL (1993) How a sorghum plant develops. Agricultural Experiment Station and Cooperative Extension Service S-3. Manhattan, KS: Kansas State University. p 20Google Scholar
VanLoenen, EA (2018) Evaluation of herbicide programs in acetolactate synthase–resistant grain sorghum. MS thesis. Manhattan, KS: Kansas State University. 64 pGoogle Scholar
Walker, RH, Norris, BE Jr, McGuire, JA (1991) Grass weed management systems in grain sorghum (Sorghum bicolor). Weed Technol 5:54–60CrossRefGoogle Scholar
Werle, R, Jhala, AJ, Yerka, MK, Dille, JA, Lindquist, JL (2016) Distribution of herbicide-resistant shattercane and johnsongrass populations in sorghum production areas of Nebraska and northern Kansas. Agron J 108:321–328, 10.2134/agronj2015.0217CrossRefGoogle Scholar
Werle, R, Tenhumberg, B, Lindquist, JL (2017) Modeling shattercane dynamics in herbicide-tolerant grain sorghum cropping systems. Ecol Modelling 343:131–141CrossRefGoogle Scholar