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Critical period for weed control: the concept and data analysis

Published online by Cambridge University Press:  20 January 2017

Stevan Z. Knezevic ,
Sean P. Evans ,
Erin E. Blankenship ,
Rene C. Van Acker  and
John L. Lindquist
Sean P. Evans
Affiliation:
Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE 68583-0915
Erin E. Blankenship
Affiliation:
Department of Biometry, University of Nebraska, Lincoln, NE 68583-0712
Rene C. Van Acker
Affiliation:
Department of Plant Science, University of Manitoba, Winnipeg, Manitoba, Canada R3T2N2
John L. Lindquist
Affiliation:
Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE 68583-0817
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Abstract

The critical period for weed control (CPWC) is a period in the crop growth cycle during which weeds must be controlled to prevent yield losses. Knowing the CPWC is useful in making decisions on the need for and timing of weed control and in achieving efficient herbicide use from both biological and economic perspectives. An increase in the use of herbicide-tolerant crops, especially soybean resistant to glyphosate, has stimulated interest in the concept of CPWC. Recently, several studies examined this concept in glyphosate-resistant corn and soybean across the midwestern United States. However, these studies presented various methods for data analysis and reported CPWC on the basis of a variety of crop- or weed-related parameters. The objectives of this study are (1) to provide a review of the concept and studies of the CPWC, (2) to suggest a common method to standardize the process of data analysis, and (3) to invite additional discussions for further debate on the subject. Wide adoption of the suggested method of data analysis will allow easier comparison of the results among sites and between researchers.

Keywords

Glyphosatecorn, Zea mays L.soybean, Glycine max (L.) MerrCrop–weed interactionsduration of interferencecritical timing of weed removalcritical weed-free periodnonlinear regressionexperimental design
Type
Research Article
Information
Weed Science , Volume 50 , Issue 6 , December 2002 , pp. 773 - 786
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Bates, D. M. and Watts, D. G. 1988. Nonlinear Regression Analysis and its Applications. New York: Wiley. pp. 72–83.CrossRefGoogle Scholar
Berti, A., Dunan, C., Sattin, M., Zanin, G., and Westra, P. 1996. A new approach to determine when to control weeds. Weed Sci. 44:496–503.Google Scholar
Black, C. C., Chen, T. M., and Brown, R. H. 1969. Biochemical basis for plant competition. Weed Sci. 17:338–344.CrossRefGoogle Scholar
Blankenship, E., Stroup, W., Evans, S. P., and Knezevic, S. Z. 2002. Statistical inference for calibration points in nonlinear mixed effects models. J. Agric. Biol. Environ. Stat. Submitted.Google Scholar
Carroll, R. J. and Ruppert, D. 1988. Transformation and Weighting in Regression. New York: Chapman and Hall. pp. 9–15.CrossRefGoogle Scholar
Cousens, R. 1988. Misinterpretation of results in weed research through inappropriate use of statistics. Weed Res. 28:281–289.Google Scholar
Cousens, R. 1991. Aspects of the design and interpretation of competition (interference) experiments. Weed Technol. 5:664–673.CrossRefGoogle Scholar
Dalley, D. C., Kells, J. J., and Renner, K. A. 1999. Weed interference in glyphosate resistant corn and soybean as influenced by time of weed removal and crop row spacing. Proc. N. Cent. Weed Sci. Soc. 54:65.Google Scholar
Di Tomaso, J. 1995. Approaches for improving crop competitiveness through the manipulation of fertilization strategies. Weed Sci. 43:491–497.CrossRefGoogle Scholar
Evans, S. P. 2001. Effects of Varying Nitrogen Supply on the Critical Period for Weed Control in Corn (Zea mays L.). . Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE. 210 p.Google Scholar
Evans, S. P. and Knezevic, S. Z. 2000. Critical period of weed control in corn as affected by nitrogen supply. Proc. N. Cent. Weed Sci. Soc. 55:151.Google Scholar
Evans, S. P., Knezevic, S. Z., Shapiro, C. A., and Lindquist, J. L. 2003. Critical period for weed control in corn as influenced by nitrogen supply. Weed Sci. In press.Google Scholar
Forcella, F., Wilson, R. G., Dekker, J., et al. 1997. Weed seed bank emergence across the corn belt. Weed Sci. 45:67–76.CrossRefGoogle Scholar
Gilmore, E. C. and Rogers, R. S. 1958. Heat units as a method of measuring maturity in corn. Agron. J. 50:611–615.CrossRefGoogle Scholar
Gower, A., Loux, M. M., and Cardina, J. 1999. Determining the critical period of weed management in glyphosate-tolerant corn. Proc. N. Cent. Weed Sci. Soc. 54:66.Google Scholar
Gumpertz, M. L. and Rawlings, J. O. 1992. Nonlinear regression with variance components: modeling effects of ozone on crop yield. Crop Sci. 32:219–224.CrossRefGoogle Scholar
Gunsolus, J. L. and Buhler, D. D. 1999. A risk management perspective on integrated weed management. Pages 167–188 In Buhler, D. D., ed. Expanding the Context of Weed Management. New York: Food Product Press.Google Scholar
Halford, C., Hamill, A. S., Zhang, J., and Doucet, C. 2001. Critical period of weed control in no-till soybean and corn. Weed Technol. 15:737–744.Google Scholar
Hall, M. R., Swanton, C. J., and Anderson, G. W. 1992. The critical period of weed control in grain corn (Zea mays). Weed Sci. 40:441–447.CrossRefGoogle Scholar
Kalaher, C. J., Stoller, E., Young, B., and Roskamp, G. 2000. Proper timing of a single post-emergence glyphosate application in three soybean row spacings. Proc. N. Cent. Weed Sci. Soc. 55:113.Google Scholar
Kasaian, L. and Seeyave, J. 1969. Critical periods of weed competition. PANS 15:208–212.Google Scholar
Knezevic, S. Z. 2000. The concept of critical period of weed control. Pages 30–40 in Knezevic, S. Z., ed, Integrated Weed Management. Mead, NE: Cooperative Extension, University of Nebraska. [The Workshop Material]Google Scholar
Knezevic, S. Z., Horak, M. J., and Vanderlip, R. L. 1997. Relative time of redroot pigweed (Amaranthus retroflexus) emergence is critical in pigweed-sorghum (Sorghum bicolor) competition. Weed Sci. 45:502–508.CrossRefGoogle Scholar
Knezevic, S. Z. and Lindquist, J. L. 1999. Analyzing data on critical period of weed control. Proc. N. Cent. Weed Sci. Soc. 54:173.Google Scholar
Knezevic, S. Z., Weise, S. F., and Swanton, C. J. 1994. Interference of redroot pigweed (Amaranthus retroflexus L.) in corn (Zea mays L.). Weed Sci. 42:568–573.CrossRefGoogle Scholar
Lemieux, C., Cloutier, D. C., and Leroux, G. D. 1993. Distribution and survival of quackgrass (Elytrigia repens) rhizome buds. Weed Sci. 41:600–606.CrossRefGoogle Scholar
Lindquist, J. L., Mortensen, D. A., Westra, P., et al. 1999. Stability of corn (Zea mays)-foxtail (Setaria spp.) interference relationships. Weed Sci. 47:195–200.CrossRefGoogle Scholar
Littell, R. C., Milliken, G. A., Stroup, W. W., and Wolfinger, R. D. 1996. SAS® System for Mixed Models. Cary, NC: SAS Institute. pp. 9–20.Google Scholar
Martin, S. G., Van Acker, R. C., and Friesen, L. F. 2001. Critical period of weed control in spring canola. Weed Sci. 49:326–333.CrossRefGoogle Scholar
Mohler, C. L. 2001. Enhancing the competitive ability of crops. Pages 269–321 In Liebman, M., Mohler, C. L., and Staver, C. P., eds. Ecological Management of Agricultural Weeds. New York: Cambridge University Press.CrossRefGoogle Scholar
Mulugeta, D. and Boerboom, C. M. 2000. Critical time of weed removal in glyphosate-resistant Glycine max . Weed Sci. 48:35–42.Google Scholar
Nieto, H. J., Brondo, M. A., and Gonzales, J. T. 1968. Critical periods of the crop growth cycle for competition from weeds. PANS (C) 14:159–166.Google Scholar
Owen, M.D.K. 1998. Producer attitude and weed management. Pages 43–59 In Hartfield, J. L., Buhler, D. D., and Stewart, B. A., eds. Integrated Weed and Soil Management. Chelsea, MI: Ann Arbor Press.Google Scholar
Ratkowsky, D. D. 1990. Handbook Of Nonlinear Regression Models. New York: Dekker. pp. 128–130.Google Scholar
Roberts, H. A. 1976. Weed competition in vegetable crops. Ann. Appl. Biol. 83:321–347.Google Scholar
[SAS] Statistical Analysis Systems. 1999. SAS OnLine Doc. Version 8. Cary, NC: Statistical Analysis Systems Institute.Google Scholar
Schimming, W. K. and Messersmith, C. G. 1988. Freezing resistance of overwintering buds of four perennial weeds. Weed Sci. 36:568–573.CrossRefGoogle Scholar
Schwenke, J. R. and Milliken, G. A. 1991. On the calibration problem extended to nonlinear models. Biometrics 47:563–574.Google Scholar
Sellers, B. A. and Smeda, R. J. 1999. Duration of weed competition and available nitrogen on corn development and yield. Proc. N. Cent. Weed Sci. Soc. 54:3.Google Scholar
Swanton, C. J. and Weise, S. F. 1991. Integrated weed management: the rationale and approach. Weed Technol. 5:648–656.Google Scholar
Tollenaar, M., Nissanka, S. P., Aguilera, A., Weise, S. F., and Swanton, C. J. 1994. Effect of weed interference and soil nitrogen on four maize hybrids. Agron. J. 86:596–601.CrossRefGoogle Scholar
USDA/NASS. 2000. Agricultural Chemical Usage: 1999 Field Crops Summary. United States Department of Agriculture: Ag Ch 1 (00)a. 112 p.Google Scholar
Van Acker, C. R., Swanton, C. J., and Weise, S. F. 1993. The critical period of weed control in soybean [Glycine max (L.) Merr.]. Weed Sci. 41:194–200.Google Scholar
VanGessel, M. J., Ayeni, A. O., and Majek, B. A. 2000. Optimum glyphosate timing with and without residual herbicides in glyphosate-resistant soybean (Glycine max) under full season conventional tillage. Weed Technol. 14:140–149.CrossRefGoogle Scholar
Vizantinopoulos, S. S. and Katranis, N. 1994. Integrated weed control management in soybean in Greece. Weed Technol. 8:541–546.Google Scholar
Weaver, S. E. 1984. Critical period of weed competition in three vegetable crops in relation to management practices. Weed Res. 24:317–325.Google Scholar
Weaver, S. E., Kropff, M. J., and Groeneveld, R. W. 1992. Use of ecophysiological models for crop-weed interference: the critical period of weed interference. Weed Sci. 40:302–307.Google Scholar
Weaver, S. E. and Tan, C. S. 1983. Critical period of weed interference in transplanted tomatoes (Lycopersicum esculentum): growth analysis. Weed Sci. 31:476–481.Google Scholar
Wrucke, M. A. and Arnold, W. E. 1985. Weed species distribution as influenced by tillage and herbicides. Weed Sci. 33:853–856.CrossRefGoogle Scholar
Zimdahl, R. L. 1980. Weed-Crop Competition—A Review. Corvallis, OR: International Plant Protection Center, Oregon State University. 195 p.Google Scholar
Zimdahl, R. L. 1988. The concept and application of the critical weed-free period. Pages 145–155 In Altieri, M. A. and Liebman, M., ed. Weed Management in Agroecosystems: Ecological Approaches. Boca Raton, FL: CRC Press.Google Scholar