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Sequencing Crops to Minimize Selection Pressure for Weeds in the Central Great Plains

Published online by Cambridge University Press:  20 January 2017

Randy L. Anderson*
Affiliation:
USDA-ARS, 2923 Medary Avenue, Brookings, SD 57006
*
Corresponding author's E-mail: [email protected]

Abstract

Dryland rotations are changing in the semiarid Great Plains because of no-till systems. Producers now rotate summer annual crops such as corn with winter wheat and fallow, which can disrupt weed population growth because of diverse life cycles among crops. This study estimated changes in weed populations as affected by rotation design, with the goal of suggesting crop sequences that lower weed community density. We used an empirical life-cycle simulation based on demographics of jointed goatgrass and green foxtail to compare various rotations consisting of winter wheat, corn, proso millet, and fallow across a 12-yr period. The simulation indicated that designing rotations to include a 2-yr interval when seed production of either jointed goatgrass or green foxtail is prevented will drastically reduce weed populations. Arranging four different crops in sequences of two cool-season crops, followed by two warm-season crops was the most beneficial for weed management. Fallow, if used, serves in either life-cycle category. However, if the same crop is grown 2 yr in a row, such as winter wheat, the benefit of rotation design on weed density is reduced considerably. Impact of rotation design on weed density was enhanced by improving crop competitiveness with cultural practices. Rotations with balanced life-cycle intervals not only reduce weed density but enable producers to use alternative weed management strategies, improve effectiveness of herbicides used, and minimize herbicide resistance.

Type
Research
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Anderson, R. L. 1993. Jointed goatgrass (Aegilops cylindrica) ecology and interference in winter wheat. Weed Sci. 41:388393.CrossRefGoogle Scholar
Anderson, R. L. 1997. Cultural systems can reduce reproductive potential of winter annual grasses. Weed Technol. 11:608613.CrossRefGoogle Scholar
Anderson, R. L. 1998a. Designing rotations for a semiarid region. in Proceeding of the 10th Annual Meeting, Colorado Conservation Tillage Association, Sterling, CO. Akron, CO: Colorado Conservation Tillage Association. Pp. 415.Google Scholar
Anderson, R. L. 1998b. Seedling emergence of winter annual grasses as affected by limited tillage and crop canopy. Weed Technol. 12:262267.CrossRefGoogle Scholar
Anderson, R. L. 1999. Cultural strategies reduce weed densities in summer annual crops. Weed Technol. 13:314319.CrossRefGoogle Scholar
Anderson, R. L. 2000a. A cultural systems approach eliminates the need for herbicides in semiarid proso millet. Weed Technol. 14:602607.CrossRefGoogle Scholar
Anderson, R. L. 2000b. Cultural systems to aid weed management in semiarid corn (Zea mays). Weed Technol. 14:630634.CrossRefGoogle Scholar
Anderson, R. L. 2003. An ecological approach to strengthen weed management in the semiarid Great Plains. Adv. Agron 80:3362.CrossRefGoogle Scholar
Anderson, R. L., Bowman, R. A., Nielsen, D. C., Vigil, M. F., Aiken, R. M., and Benjamin, J. G. 1999. Alternative crop rotations for the central Great Plains. J. Prod. Agric 12:9599.CrossRefGoogle Scholar
Anderson, R. L. and Nielsen, D. C. 1996. Emergence patterns of five weed species in the Great Plains. Weed Technol. 10:744749.CrossRefGoogle Scholar
Ball, D. A., Young, F. L., and Ogg, A. G. Jr. 1999. Selective control of joined goatgrass (Aegilops cylindrica) with imazamox in herbicide-resistant wheat. Weed Technol. 13:7782.CrossRefGoogle Scholar
Banting, J. D., Molberg, E. S., and Gephardt, J. P. 1973. Seasonal emergence and persistence of green foxtail. Can. J. Plant Sci 53:369376.CrossRefGoogle Scholar
Bowman, R. A., Vigil, M. F., Nielsen, D. C., and Anderson, R. L. 1999. Soil organic matter changes in intensively cropped dryland systems. Soil Sci. Soc. Am. J. 63:186191.CrossRefGoogle Scholar
Cook, R. J. and Veseth, R. J. 1991. Wheat Health Management. St. Paul, MN: American Phytopathological Society Press. 152 p.Google Scholar
Cousens, R., Moss, S. R., Cussans, G. W., and Wilson, B. J. 1987. Modeling weed populations in cereals. Rev. Weed Sci 3:93112.Google Scholar
Crookston, R. K., Kurle, J. E., Copeland, P. J., Ford, J. H., and Lueschen, W. E. 1991. Rotational cropping sequence affects yield of corn and soybean. Agron. J 83:108113.CrossRefGoogle Scholar
Dieleman, J. A., Mortensen, D. A., and Martin, A. R. 1999. Influence of velvetleaf (Abutilon theophrasti) and common sunflower (Helianthus annuus) density variation on weed management outcomes. Weed Sci. 47:8187.CrossRefGoogle Scholar
Donald, W. W. 1991. Seed survival, germination ability, and emergence of jointed goatgrass (Aegilops cylindrica). Weed Sci. 39:210216.CrossRefGoogle Scholar
Donald, W. W. and Ogg, A. J. Jr. 1991. Biology and control of jointed goatgrass (Aegilops cylindrica) seed in soil. Weed Technol. 5:317.CrossRefGoogle Scholar
Egley, G. H. and Williams, R. D. 1990. Decline of weed seeds and seedling emergence over five years as affected by soil disturbance. Weed Sci. 38:504510.CrossRefGoogle Scholar
Forcella, F., Wilson, R. G., and Dekker, J. et al. 1997. Weed seedbank emergence across the Corn Belt. Weed Sci. 45:6776.CrossRefGoogle Scholar
Froud-Williams, R. J. 1988. Changes in weed flora with different tillage and agronomic management systems. in Altieri, M. A. and Liebman, M., eds. Weed Management in Agroecosystems: Ecological Approaches. Boca Ration, FL: CRC. Pp. 213236.Google Scholar
Haas, H. and Streibig, J. C. 1982. Changing patterns of weed distribution as a result of herbicide use and other agronomic factors. in LeBaron, H. M. and Gressel, J., eds. Herbicide Resistance in Plants. New York: J. Wiley. Pp. 5779.Google Scholar
Hammel, J. E. 1995. Long-term tillage and crop rotation effects on winter wheat production in Northern Idaho. Agron. J 87:1622.CrossRefGoogle Scholar
Heap, I. 2002. The International Survey of Herbicide Resistant Weeds. Web page: http://www.Weedscience.com. Accessed: November 1, 2002.Google Scholar
Leighty, C. E. 1938. Crop rotation. In U.S. Department of Agriculture. Yearbook of Agriculture: Soils and Men. Washington, DC: U.S. Government Printing Office. Pp. 406430.Google Scholar
Mohler, C. L. 1993. A model of the effects of tillage on emergence of weed seedlings. Ecol. Appl 3:5373.CrossRefGoogle Scholar
Mortensen, D. A., Bastiaans, L., and Sattin, M. 2000. The role of ecology in the development of weed management systems: an outlook. Weed Res. 40. 4962.CrossRefGoogle Scholar
Peterson, G. A., Schlegel, A. J., Tanaka, D. L., and Jones, O. R. 1996. Precipitation use efficiency as affected by cropping and tillage systems. J. Prod. Agric 9:180186.CrossRefGoogle Scholar
Peterson, G. A., Westfall, D. G., and Cole, C. V. 1993. Agroecosystem approach to soil and crop management research. Soil Sci. Soc. Am. J. 57:13541360.CrossRefGoogle Scholar
Porter, P. M., Crookston, R. K., Ford, J. H., Huggins, D. R., and Lueschen, W. E. 1997. Interrupting yield depression in monoculture corn: comparative effectiveness of grasses and dicots. Agron. J 89:247250.CrossRefGoogle Scholar
Sagar, G. R. and Mortimer, A. M. 1976. An approach to the study of the population dynamics of plants with special reference to weeds. Adv. Appl. Biol 1:147.Google Scholar
Wicks, G. A. and Smika, D. E. 1990. Central great plains. in Donald, W. W., ed. Systems of Weed Control in Wheat in North America. Lawrence, KS: Weed Science Society of America. Pp. 127157.Google Scholar
Winkle, M. E., Leavitt, J. R. C., and Burnside, O. C. 1981. Effects of weed density on herbicide absorption and bioactivity. Weed Sci. 29:405409.CrossRefGoogle Scholar