Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-30T16:03:41.660Z Has data issue: false hasContentIssue false

Annual Grass Control in Peanut (Arachis hypogaea) with Clethodim and Imazapic

Published online by Cambridge University Press:  20 January 2017

Ian C. Burke
Affiliation:
Box 7620, Crop Science Department, North Carolina State University, Raleigh, NC 27695
Andrew J. Price
Affiliation:
Box 7620, Crop Science Department, North Carolina State University, Raleigh, NC 27695
John W. Wilcut
Affiliation:
Box 7620, Crop Science Department, North Carolina State University, Raleigh, NC 27695
David L. Jordan*
Affiliation:
Box 7620, Crop Science Department, North Carolina State University, Raleigh, NC 27695
A. Stanley Culpepper
Affiliation:
Department of Soil and Crop Science, University of Georgia, P.O. Box 1209, Tifton, GA 31793
Joyce Tredaway-Ducar
Affiliation:
Department of Agronomy, University of Florida, Gainesville, FL 32611
*
Corresponding author's E-mail: [email protected]

Abstract

Field experiments were conducted to evaluate possible interactions of clethodim with imazapic applied as mixtures or sequentially for control of broadleaf signalgrass, fall panicum, goosegrass, and large crabgrass. Imazapic at 70 g ai/ha alone controlled grass weeds inconsistently, whereas clethodim at 140 g ai/ha alone controlled the same weeds at least 99%. Imazapic did not affect broadleaf signalgrass control by clethodim. Reduced control of fall panicum, goosegrass, and large crabgrass was observed when clethodim and imazapic were applied in mixture. Antagonism of clethodim occurred when clethodim was applied 1 d before or up to 3 d after application of imazapic (fall panicum and large crabgrass). Antagonism of goosegrass control was noted when imazapic was applied 3 d before or up to 7 d after application of clethodim. In other experiments, large crabgrass and Texas panicum control by clethodim (70 and 140 g/ha) applied alone or with imazapic (70 g/ ha) or bentazon (1.1 kg ai/ha) plus 2,4-DB (0.28 kg ai/ha) either with or without ammonium sulfate (2.8 kg/ha) was evaluated. Texas panicum control by clethodim was reduced by imazapic regardless of the ammonium sulfate rate. However, large crabgrass control by imazapic was not affected in these experiments. Control of both grasses by clethodim was reduced substantially by bentazon plus 2,4-DB, although in some instances ammonium sulfate improved control when in mixture. Ammonium sulfate improved control by clethodim in some instances irrespective of the broadleaf–sedge herbicide treatments.

Type
Research
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

Burke, I. C., Wilcut, J. W., and Porterfield, D. 2003. CGA 362622 antagonizes annual grass control with clethodim. Weed Technol. 16:749754.Google Scholar
Colby, S. R. 1967. Calculating synergistic and antagonistic responses of herbicide combinations. Weeds 15:2022.Google Scholar
Corkern, C. B., Jordan, D. L., Griffin, J. L., Vidrine, P. R., Williams, B. J., and Reynolds, D. B. 1999. Influence of adjuvants on interactions of sethoxydim with selected broadleaf herbicides used in corn (Zea mays). Weed Technol. 13:821824.CrossRefGoogle Scholar
Culpepper, A. S., York, A. C., and Brownie, C. 1999. Influence of bromoxynil on annual grass control by graminicides. Weed Sci. 47:123128.Google Scholar
Ferreira, K. L. and Coble, H. D. 1994. Effect of DPX-PE350 on the efficacy of graminicides. Weed Sci. 42:222226.Google Scholar
Foy, C. L. and Witt, H. L. 1992. Annual grass control in alfalfa (Medicago sativa) with postemergence graminicides. Weed Technol. 6:938948.Google Scholar
Frans, R. E., Talbert, R., Marx, D., and Crowley, H. 1986. Experimental design and techniques for measuring and analyzing plant responses to weed control practices. in Camper, N. D., ed. Research Methods in Weed Science. 3rd ed. Champaign, IL: Southern Weed Science Society. pp. 2946.Google Scholar
Hicks, T. V., Wehtje, G. R., and Grey, T. L. 1998. The interaction of pyridate and 2,4-DB in peanut (Arachis hypogaea), Florida beggarweed (Desmodium tortuosum), and sicklepod (Senna obtusifolia). Weed Sci. 46:284288.Google Scholar
Holshouser, D. L. and Coble, H. D. 1990. Compatibility of sethoxydim with five postemergence broadleaf herbicides. Weed Technol. 4:128133.Google Scholar
Jennings, K. M., Wilcut, J. W., and York, A. C. 1995. Grass control with Cadre and Cadre-graminicide tank mixtures. Proc. Am. Peanut Res. Educ. Soc. 27. 58.Google Scholar
Jordan, D. L. 1995. Influence of adjuvants on the antagonism of graminicides by broadleaf herbicides. Weed Technol. 9:741747.Google Scholar
Jordan, D. L., Frans, R. E., and McClelland, M. R. 1993. Interactions of DPX- PE350 with fluazifop-P, sethoxydim, clethodim, and quizalofop-P. Weed Technol. 7:605610.Google Scholar
Jordan, D. L. and York, A. C. 1989. Effects of ammonium fertilizers and BCH 81508 S on antagonism with sethoxydim plus bentazon mixtures. Weed Technol. 3:450454.Google Scholar
Jordan, D. L. and York, A. C. 2002. Weed management in peanuts. in 2002 Peanut Information. Raleigh, NC: North Carolina Cooperative Extension Service Publ. AG-331. Pp. 2351.Google Scholar
McIntosh, M. S. 1983. Analysis of combined experiments. Agron. J 75:153155.CrossRefGoogle Scholar
Minton, B. W., Shaw, D. R., and Kurtz, M. E. 1989. Postemergence grass and broadleaf herbicide interactions for red rice (Oryza sativa) control in soybeans (Glycine max). Weed Technol. 3:329334.Google Scholar
Myers, P. F. and Coble, H. D. 1992. Antagonism of graminicide activity on annual grass species by imazethapyr. Weed Technol. 6:333338.CrossRefGoogle Scholar
Rhodes, G. N. Jr. and Coble, H. D. 1984. Influence of application variables on antagonism between sethoxydim and bentazon. Weed Sci. 32:436441.Google Scholar
Richburg, J. S. III, Wilcut, J. W., and Wehtje, G. R. 1994. Toxicity of AC 263,222 to purple (Cyperus rotundus) and yellow nutsedge (C. esculentus). Weed Sci. 42:398402.Google Scholar
[SAS] Statistical Analysis Systems. 1998. SAS/STAT User's Guide. Release 7.00. Cary, NC: Statistical Analysis Systems Institute. 1028 p.Google Scholar
Vidrine, P. R., Reynolds, D. B., and Blouin, D. C. 1995. Grass control in soybean (Glycine max) with graminicides applied alone and in mixtures. Weed Technol. 9:6872.Google Scholar
Wanamarta, G. and Penner, D. 1989. Identification of efficacious adjuvants for sethoxydim and bentazon. Weed Technol. 3:6066.Google Scholar
Warren, L. S. Jr. and Coble, H. D. 1999. Managing purple nutsedge (Cyperus rotundus) populations utilizing herbicide strategies and crop rotation sequences. Weed Technol. 13:494503.Google Scholar
Wilcut, J. W., Richburg, J. S. III, Wiley, G., and Walls, F. R. Jr. 1996. Postemergence AC 2263,222 systems for weed control in peanut. Weed Sci. 44. 104110.Google Scholar
Wilcut, J. W., York, A. C., Grichar, W. J., and Wehtje, G. R. 1995. The biology and management of weeds in peanut (Arachis hypogaea). in Pattee, H. E. and Stalker, H. T., eds. Advances in Peanut Science. Stillwater, OK: American Peanut Research and Education Society. Pp. 207244.Google Scholar
York, A. C., Jordan, D. L., and Wilcut, J. W. 1990. Effects of (NH4)2SO4 and BCH 81508 S on efficacy of sethoxydim. Weed Technol. 4:7680.CrossRefGoogle Scholar
York, A. C., Wilcut, J. W., and Grichar, W. J. 1993. Interaction of 2,4-DB with postemergence graminicides. Peanut Sci 20:5761.Google Scholar