Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-25T06:20:24.271Z Has data issue: false hasContentIssue false

Relationships Among Green Foxtail (Setaria viridis) Seedling Development, Growing Degree Days, and Time of Nicosulfuron Application

Published online by Cambridge University Press:  12 June 2017

Frank Forcella
Affiliation:
U.S. Dep. Agric., Agric. Res. Serv., 803 Iowa Ave., Morris, MN 56267
Kevin R. Banken
Affiliation:
Dep. Plant Sci., South Dakota State Univ., Brookings, SD 57007

Abstract

Success of postemergence weed management often depends upon application timing and weed seedling size. To develop a predictive tool for estimating green foxtail development and optimizing timing of management operations, seedling growth was monitored in fields for two years, as well as in a single greenhouse experiment, and compared with elapsed thermal time (growing degree days, GDD, base 10 C). The relationship between seedling height (mm) and GDD was similar both years and could be described by the following equation: Height = (-0.27 + 0.033 * GDD)2. A comparable equation described seedling growth in a greenhouse. Leaf number was linearly related to GDD. Green foxtail in corn was controlled with nicosulfuron applied at seven intervals between 100 and 450 GDD after corn planting in 1993 and 1994. In 1993 corn yield losses due to green foxtail interference were least when nicosulfuron was applied 200 to 300 GDD after planting, at which time green foxtail height was 50 to 100 mm. In 1994 corn yield losses were minimized if nicosulfuron was applied any time before 300 GDD.

Type
Research
Copyright
Copyright © 1996 by 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.)

References

Literature Cited

1. Anonymous. 1989. TableCurve 2.12 Software. Jandel Scientific, Inc. San Rafael, CA.Google Scholar
2. Anonymous. 1994. Statistix 4.1 Software. Analytical Software, Inc., Tallahassee, FL.Google Scholar
3. Anonymous. 1995. Agricultural Chemical Usage: 1994 Field Crops Summary. USDA Nat. Agric. Stat. Serv., Ag Ch 1 (95), Washington, D.C., 106 p.Google Scholar
4. Dobbels, A. F. and Kapusta, G. 1993. Postemergence weed control in corn (Zea mays) with nicosulfuron combinations. Weed Tech. 7:844850.Google Scholar
5. Gomez, K. A. and Gomez, A. A. 1984. Statistical Procedures for Agricultural Research. John Wiley & Sons, New York, NY, 680 p.Google Scholar
6. Hoverstad, T. R., Gunsolus, J. L., Lueschen, W. E., and Getting, J. K. 1994. Effect of time of herbicide application on foxtail growth and corn yield. Proc. North Central Weed Control Conf. 49:2728.Google Scholar
7. Richburg, J. S., Wilcut, J. W., and Eastin, E. F. 1993. Weed control and peanut (Arachis hypogaea) response to nicosulfuron and bentazon alone and in mixture. Weed Sci. 41:615620.Google Scholar
8. Wilson, R. G., Jarvi, K. J., Seymour, R. C., Witkowski, J. F., Danielson, S. D., and Wright, R. F. 1992. Annual weed growth across Nebraska. Res. Bull. 314-F, Univ. Nebraska, Inst. Agric. Nat. Res., Lincoln. 53 p.Google Scholar