Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-22T06:36:03.707Z Has data issue: false hasContentIssue false
  • English
  • Français

Effect of Carrier Volume on Corn (Zea mays) and Soybean (Glycine max) Response to Simulated Drift of Glyphosate and Glufosinate

Published online by Cambridge University Press:  20 January 2017

Jeffrey M. Ellis ,
James L. Griffin  and
Curtis A. Jones
Jeffrey M. Ellis
Affiliation:
Department of Agronomy, Louisiana State University Agricultural Center, 104 Sturgis Hall, Baton Rouge, LA 70803
James L. Griffin*
Affiliation:
Department of Agronomy, Louisiana State University Agricultural Center, 104 Sturgis Hall, Baton Rouge, LA 70803
Curtis A. Jones
Affiliation:
Department of Agronomy, Louisiana State University Agricultural Center, 104 Sturgis Hall, Baton Rouge, LA 70803
*
Corresponding author's E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

In traditional simulated herbicide drift research, dose response is evaluated using a constant carrier volume. The influence of carrier volume was evaluated in field experiments with drift rates representing 12.5 and 6.3% of the use rates of 1,120 g ai/ha glyphosate (140 and 70 g/ha, respectively) and 420 g ai/ha glufosinate (53 and 26 g/ha, respectively). Corn and soybean were exposed to herbicide rates applied in constant carrier volume of 234 L/ha and in proportional carrier volumes of 30 L/ha for the 12.5% rate and 15 L/ha for the 6.3% rate. Averaged across herbicides, corn height reduction 14 d after treatment (DAT) was greater for the 12.5% rate when applied in proportional 30 L/ha carrier volume (45%) compared with constant 234 L/ha carrier volume (28%). The 6.3% rate reduced corn height 38% when applied in proportional 15 L/ha carrier volume but not when applied in 234 L/ha carrier volume. When carrier volume was changed from constant to proportional, corn injury 14 DAT increased from 33 to 51% for the 12.5% rate and 18 to 38% for the 6.3% rate. Compared with constant spray volume, corn yield reduction was 1.5 times greater for the 12.5% rate but 4 times greater for the 6.3% rate when spray volume was varied proportionally to the herbicide rates. Differential response due to carrier volume was not observed when herbicides were applied to soybean. Soybean was injured more by glyphosate than by glufosinate, but recovery was rapid and yield was not negatively affected. Results suggest that drift research using constant spray volume may underestimate the yield reduction expected for sensitive crops exposed to glyphosate or glufosinate.

Keywords

Glufosinateglyphosatecorn, Zea mays L. ‘Dekalb 687’soybean, Glycine max (L.) Merr. ‘DPL 3588’Crop injuryherbicide driftoff-target movementDAT, days after treatment
Type
Research
Information
Weed Technology , Volume 16 , Issue 3 , September 2002 , pp. 587 - 592
Copyright
Copyright © 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.)

References

Literature Cited

Ahrens, W. H. ed. 1994. Herbicide Handbook. 7th ed. Champaign, IL: Weed Science Society of America. pp. 147–152.Google Scholar
Al-Khatib, K., Parker, R., and Fuerst, E. P. 1992a. Alfalfa (Medicago sativa) response to simulated herbicide spray drift. Weed Technol. 6: 956–960.Google Scholar
Al-Khatib, K., Parker, R., and Fuerst, E. P. 1992b. Sweet cherry (Prunus avium) response to simulated drift from selected herbicides. Weed Technol. 6: 975–979.Google Scholar
Al-Khatib, K. and Peterson, D. 1999. Soybean (Glycine max) response to simulated drift from selected sulfonylurea herbicides, dicamba, glyphosate, and glufosinate. Weed Technol. 13: 264–270.Google Scholar
Ambach, R. M. and Ashford, R. 1982. Effects of variations in drop makeup on the phytotoxicity of glyphosate. Weed Sci. 30: 221–224.Google Scholar
Bailey, J. A. and Kapusta, G. 1993. Soybean (Glycine max) tolerance to simulated drift of nicosulfuron and primisulfuron. Weed Technol. 7: 740–745.Google Scholar
Banks, P. A. and Schroeder, J. 2000. Carrier volume influences herbicide activity in simulated spray drift studies. Weed Sci. Soc. Am. Abstr. 40: 80.Google Scholar
Buhler, D. D. and Burnside, O. C. 1983a. Effect of spray components on glyphosate toxicity to annual grasses. Weed Sci. 31: 124–130.Google Scholar
Buhler, D. D. and Burnside, O. C. 1983b. Effect of water quality, carrier volume, and acid on glyphosate phytotoxicity. Weed Sci. 31: 163–169.Google Scholar
Burnside, O. C. 1992. Rationale for developing herbicide-resistant crops. Weed Technol. 6: 621–625.Google Scholar
Culpepper, A. S. and York, A. C. 1998. Weed management in glyphosate-tolerant cotton. J. Cotton Sci. 4: 174–185.Google Scholar
Culpepper, A. S. and York, A. C. 1999. Weed management in glufosinate-tolerant corn (Zea mays). Weed Technol. 13: 324–333.Google Scholar
Eberlein, C. V. and Guttieri, M. J. 1994. Potato (Solanum tuberosum) response to simulated drift of imidazolinone herbicides. Weed Sci. 42: 70–75.Google Scholar
Ellis, J. M., Griffin, J. L., and Webster, E. P. 1999a. Corn response to simulated drift of glyphosate and glufosinate. Weed Sci. Soc. Am. Abstr. 39: 1–2.Google Scholar
Ellis, J. M., Griffin, J. L., and Webster, E. P. 1999b. Crop response to Roundup Ultra and Liberty simulated drift. Proc. South. Weed Sci. Soc. 52: 256–257.Google Scholar
Ghosheh, H. Z., Chandler, J. M., and Bierman, R. H. 1994. Impact of DPX-PE350 drift on corn and grain sorghum. Proc. South. Weed Sci. Soc. 47: 24.Google Scholar
Hanks, J. E. 1995. Effect of drift retardant on spray droplet size of water and paraffinic oil applied at ultralow volume. Weed Technol. 9: 380–384.CrossRefGoogle Scholar
Hatterman-Valenti, H., Owen, M. D. K., and Christians, N. E. 1995. Comparison of spray drift during postemergence herbicide applications to turfgrass. Weed Technol. 9: 321–325.Google Scholar
Hatzios, K. K. and Penner, D. 1985. Interaction of herbicides with other agricultural chemicals in higher plants. Rev. Weed Sci. 1: 1–64.Google Scholar
Hurst, H. R. 1982. Cotton (Gossypium hirsutum) response to simulated drift from selected herbicides. Weed Sci. 30: 311–315.Google Scholar
Nalewaja, J. D. and Matysiak, R. 1991. Salt antagonism of glyphosate. Weed Sci. 39: 622–628.Google Scholar
Nalewaja, J. D. and Matysiak, R. 1993. Optimizing adjuvants to overcome glyphosate antagonistic salts. Weed Technol. 7: 337–342.Google Scholar
Richard, E. P. Jr., Hurst, H. R., and Wauchope, R. D. 1981. Effects of simulated MSMA drift on rice (Oryza sativa) growth and yield. Weed Sci. 3: 303–308.Google Scholar
Sandberg, C. L., Meggitt, W. F., and Penner, D. 1978. Effect of diluent volume and calcium on glyphosate phytotoxicity. Weed Sci. 26: 476–479.Google Scholar
Snipes, C. E., Street, J. E., and Mueller, T. C. 1991. Cotton (Gossypium hirsutum) response to simulated triclopyr drift. Weed Technol. 5: 493–498.Google Scholar
Snipes, C. E., Street, J. E., and Mueller, T. C. 1992. Cotton (Gossypium hirsutum) injury from simulated quinclorac drift. Weed Sci. 40: 106–109.Google Scholar
Stahlman, P. W. and Phillips, W. M. 1979. Effects of water quality and spray volume on glyphosate phytotoxicity. Weed Sci. 27: 38–41.Google Scholar
Thelen, K. D., Jackson, E. P., and Penner, D. 1995. The basis for the hard-water antagonism of glyphosate activity. Weed Sci. 43: 541–548.Google Scholar
Wall, D. A. 1994. Potato (Solanum tuberosum) response to simulated drift of dicamba, clopyralid, and tribenuron. Weed Sci. 42: 110–114.Google Scholar
Wauchope, R. D., Richard, E. P., and Hurst, H. R. 1982. Effects of simulated MSMA drift on rice (Oryza sativa). II. Arsenic residues in foliage and grain and relationships between arsenic residues, rice toxicity symptoms, and yields. Weed Sci. 30: 405–410.Google Scholar
Wolf, T. M., Grover, R., Wallace, K., Shewchuk, S. R., and Maybank, J. 1992. Effect of protective shields on drift and deposition characteristics of field sprayers. In The Role of Application Factors in the Effectiveness and Drift of Herbicides. Regina, SK: Agric. Canada. pp. 29–52.Google Scholar
Wyse, D. L. 1992. Future impact of crops with modified herbicide resistance. Weed Technol. 6: 665–668.Google Scholar