Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-23T14:39:01.217Z Has data issue: false hasContentIssue false

PRE herbicides influence critical time of weed removal in glyphosate-resistant corn

Published online by Cambridge University Press:  17 September 2020

Ayse Nur Ulusoy
Affiliation:
Former Graduate Student, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, NE, USA
O. Adewale Osipitan
Affiliation:
Former Postdoctoral Researcher, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, USA; current: Postdoctoral Researcher, Department of Plant Sciences, University of California-Davis
Jon Scott
Affiliation:
Research Technologist; Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, USA
Amit J. Jhala
Affiliation:
Associate Professor, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, USA
Nevin C. Lawrence
Affiliation:
Assistant Professor, Panhandle Research and Extension Center, University of Nebraska–Lincoln, Lincoln, NE, USA
Stevan Z. Knezevic*
Affiliation:
Professor, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, USA
*
Author for correspondence: Stevan Z. Knezevic, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE68583-0915 Email: [email protected]

Abstract

Residual herbicides applied PRE provide early season weed control, potentially avoid the need for multiple POST herbicides, and can provide additional control of herbicide-resistant weeds. Thus, field studies were conducted in 2017 and 2018 at Concord, NE, to evaluate the influence of PRE herbicides on critical time for postemergence weed removal (CTWR) in corn. The studies were arranged in a split-plot design that consisted of three herbicide regimes as main plot treatments and seven weed removal timings as subplot treatments in four replications. The herbicide regimes included no PRE herbicide, atrazine, and a premix of saflufenacil/dimethenamid-P mixed with pyroxasulfone. The weed removal timings were at V3, V6, V9, V12, and V15 corn growth stages and then plots were kept weed-free until harvest. A weed-free and nontreated control were included for comparison. The relationship between corn growth or yield, and weed removal timings in growing degree days (GDD) was described by a four-parameter log-logistic model. This model was used to estimate the critical time for weed removal based on 5% crop yield loss threshold. A delay in weed removal until the V2 to V3 corn growth stage (91 to 126 GDD) reduced corn biomass by 5% without PRE herbicide application. The CTWR started at V3 without PRE herbicide in both years. Atrazine delayed the CTWR up to V5 in both years, whereas saflufenacil/dimethenamid-P plus pyroxasulfone further delayed the CTWR up to the V10 and V8 corn growth stages in 2017 and 2018, respectively. Herbicide applied PRE particularly with multiple sites of action can delay the CTWR in corn up to a maximum growth stage of V10, and delay or reduce the need for POST weed management.

Type
Research Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of the Weed Science Society of America

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: Daniel Stephenson, Louisana State University Agricultural Center

References

Adigun, J, Osipitan, AO, Lagoke, ST, Adeyemi, RO, Afolami, SO (2014) Growth and yield performance of cowpea [Vigna unguiculata (L.) Walp] as influenced by row-spacing and period of weed interference in South-West Nigeria. J Agric Sci 6:188198 Google Scholar
Barnes, ER, Knezevic, SZ, Lawrence, NC, Irmak, S, Rodriguez, O, Jhala, AJ (2019) Preemergence herbicide delays the critical time of weed removal in popcorn. Weed Technol 33:785793 CrossRefGoogle Scholar
Benbrook, CM (2016) Trends in glyphosate herbicide use in the United States and globally. Environmental Sciences Europe 28:35 CrossRefGoogle ScholarPubMed
Cathcart, RJ, Swanton, CJ (2004) Nitrogen and green foxtail (Setaria viridis) competition effects on corn growth and development. Weed Sci 52:10391049 CrossRefGoogle Scholar
Chahal, PS, Jhala, AJ (2018) Economics of management of photosystem II- and HPPD-inhibitor-resistant Palmer amaranth in corn. Agron J 110:19051914 CrossRefGoogle Scholar
Cox, WJ, Hahn, RR, Stachowski, PJ (2006) Time of weed removal with glyphosate affects corn growth and yield components. Agron J 98:349353 CrossRefGoogle Scholar
Duke, SO (2012) Why have no new herbicide modes of action appeared in recent years? Pest Manag Sci 68:505512 CrossRefGoogle ScholarPubMed
Elezovic, I, Datta, A, Vrbnicanin, S, Glamoclija, D, Simic, M, Malidza, G, Knezevic, SZ (2012) Yield and yield components of imidazolinone-resistant sunflower (Helianthus annuus L.) are influenced by pre-emergence herbicide and time of post-emergence weed removal. Field Crops Res 128:137146 CrossRefGoogle Scholar
Evans, SP, Knezevic, SZ, Lindquist, JL, Shapiro, CA, Blankenship, EE (2003) Nitrogen application influences the critical period for weed control in corn. Weed Sci 51:408417 CrossRefGoogle Scholar
Ganie, ZA, Lindquist, JL, Jugulam, M, Kruger, GR, Marx, DB, Jhala, AJ (2017) An integrated approach to control glyphosate-resistant Ambrosia trifida with tillage and herbicides in glyphosate-resistant maize. Weed Res 57:112122 CrossRefGoogle Scholar
Gilmore, EC, Rogers, RS (1958) Heat units as a method of measuring maturity in corn. Agron J 50:611615 CrossRefGoogle Scholar
Hall, MR, Swanton, CJ, Anderson, GW (1992) The critical period of weed control in grain corn (Zea mays). Weed Sci 40:441447 CrossRefGoogle Scholar
Heap, I (2020). The International Survey of Herbicide Resistant Weeds. www.weedscience.org. Accessed: April 9, 2020Google Scholar
Jhala, AJ, Knezevic, SZ, Ganie, ZA, Singh, M (2014a) Integrated weed management in maize. Pages 177196 in Recent Advances in Weed Management. New York: Springer Google Scholar
Jhala, AJ, Sandell, LD, Rana, N, Kruger, G, Knezevic, SZ (2014b) Confirmation and control of triazine and 4-hydroxyphenylpyruvate dioxygenase-inhibiting herbicide-resistant Palmer amaranth in Nebraska. Weed Technol 28:2838 CrossRefGoogle Scholar
Knezevic, SZ, Evans, SP, Blankenship, EE, Van Acker, RC, Lindquist, JL (2002) Critical period of weed control: the concept and data analysis. Weed Sci 50:773786 CrossRefGoogle Scholar
Knezevic, SZ, Evans, SP, Mainz, M (2003) Row spacing influences the critical timing for weed removal in soybean (Glycine max). Weed Technol 17:666673 CrossRefGoogle Scholar
Knezevic, SZ, Osipitan, OA, Scott, JE, Nedeljkovic, D (2019a) Alternative herbicides for control of glyphosate-resistant giant ragweed in Nebraska. Sustain Agric Res 8:2132 Google Scholar
Knezevic, SZ, Pavlovic, P, Osipitan, OA, Barnes, ER, Beiermann, C, Oliveira, MC, Lawrence, N, Scott, JE, Jhala, A (2019b) Critical time for weed removal in glyphosate-resistant soybean as influenced by preemergence herbicides. Weed Technol 33:393399 CrossRefGoogle Scholar
Kniss, AR (2018) Genetically engineered herbicide-resistant crops and herbicide-resistant weed evolution in the United States. Weed Sci 66:260273 CrossRefGoogle Scholar
Miller, RT, Soltani, N, Robinson, DE, Kraus, TE, Sikkema, PH (2012) Biologically effective rate of saflufenacil/dimethenamid-P in soybean (Glycine max). Can J Plant Sci 92:517531 CrossRefGoogle Scholar
Moran, ME, Sikkema, PH, Swanton, CJ (2011) Efficacy of saflufenacil plus dimethenamid-P for weed control in corn. Weed Technol 25:330334 CrossRefGoogle Scholar
Nakka, S, Godar, AS, Thompson, CR, Peterson, DE, Jugulam, M (2017) Rapid detoxification via glutathione S-transferase (GST) conjugation confers a high level of atrazine resistance in Palmer amaranth (Amaranthus palmeri). Pest Manag Sci 73:22362243 CrossRefGoogle Scholar
Norsworthy, JK, Oliveira, MJ (2004) Comparison of the critical period for weed control in wide-and narrow-row corn. Weed Sci 52:802807 CrossRefGoogle Scholar
Oliveira, MC, Jhala, AJ, Gaines, T, Irmak, S, Amundsen, K, Scott, JE, Knezevic, SZ (2017) Confirmation and control of HPPD-inhibiting herbicide–resistant waterhemp (Amaranthus tuberculatus) in Nebraska. Weed Technol 31:6779 CrossRefGoogle Scholar
Osipitan, OA, Adigun, JA, Kolawole, RO (2016) Row spacing determines critical period of weed control in crop: cowpea (Vigna unguiculata) as a case study. Azarian J Agric 3:9096 Google Scholar
Osipitan, OA, Scott, JE, Knezevic, SZ (2018) Tolpyralate applied alone and with atrazine for weed control in corn. J Agric Sci 10:3239 Google Scholar
Page, ER, Cerrudo, D, Westra, P, Loux, M, Smith, K, Foresman, C, Wright, H, Swanton, CJ (2012) Why early season weed control is important in maize. Weed Sci 60:423430 CrossRefGoogle Scholar
Parker, RG, York, AC, Jordan, DL (2006) Weed control in glyphosate-resistant corn as affected by preemergence herbicide and timing of postemergence herbicide application. Weed Technol 20:564570 CrossRefGoogle Scholar
Pavlović, P, Osipitan, A, Knežević, SZ (2018) Effects of timing of weed removal and application of pre-emergence herbicides on growth of soybeans. Acta Herbol 27:3544 CrossRefGoogle Scholar
Powles, SB (2008) Evolved glyphosate-resistant weeds around the world: lessons to be learnt. Pest Manag Sci 64:360365 CrossRefGoogle ScholarPubMed
R Core Team (2018) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing Google Scholar
Ritz, C, Baty, F, Streibig, JC, Gerhard, D (2015) Dose-response analysis using R. PLoS One 10:e0146021 CrossRefGoogle ScholarPubMed
Sarangi, D, Jhala, AJ (2018a) A statewide survey of stakeholders to assess the problem weeds and weed management practices in Nebraska. Weed Technol 32:642655 CrossRefGoogle Scholar
Sarangi, D, Jhala, AJ (2018b) Comparison of a premix of atrazine, bicyclopyrone, mesotrione, and S-metolachlor with other preemergence herbicides for weed control and corn yield in no-tillage and reduced tillage production systems in Nebraska, USA. Soil Till Res 178:8291 CrossRefGoogle 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 30:979984 CrossRefGoogle Scholar
Teasdale, JR (1995) Influence of narrow row/high population corn (Zea mays) on weed control and light transmittance. Weed Technol 9:113118 CrossRefGoogle Scholar
Tursun, N, Datta, A, Sakinmaz, MS, Kantarci, Z, Knezevic, SZ, Chauhan, BS (2016) The critical period of weed control in three corn (Zea mays L.) types. Crop Prot 90:5965 CrossRefGoogle Scholar
[USDA-NASS] U.S. Department of Agriculture–National Agricultural Statistics Service (2017) 2016 Agricultural Chemical Use Survey: Corn. NASS Highlights No. 2017-2. Washington, DC: US Department of AgricultureGoogle Scholar
[USDA-NASS] U.S. Department of Agriculture–National Agricultural Statistics Service (2019) Quick stats. https://quickstats.nass.usda.gov/results/03E0C0BD-F90D-38D7-9BCD-BE268D426EE8 Accessed: September 29, 2019Google Scholar
Van Acker, RC, Swanton, CJ, Weise, SF (1993) The critical period of weed control in soybean [Glycine max (L.) Merr.]. Weed Sci 41:194200 CrossRefGoogle Scholar
Walsh, KD, Soltani, N, Shropshire, C, Sikkema, PH (2015) Weed control in soybean with imazethapyr applied alone or in tank mix with saflufenacil/dimethenamid-P. Weed Sci 63:329335 CrossRefGoogle Scholar
Weaver, SE, Tan, CS (1987) Critical period of weed interference in field-seeded tomatoes and its relation to water stress and shading. Can J Plant Sci 67:575583 CrossRefGoogle Scholar
Williams, MM (2006) Planting date influences critical period of weed control in sweet corn. Weed Sci 54:928933 CrossRefGoogle Scholar