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Environmental factors affecting seed persistence of annual weeds across the U.S. corn belt

Published online by Cambridge University Press:  20 January 2017

John Cardina
Affiliation:
Department of Horticulture and Crop Science, Ohio State University, Wooster, OH 44691
Frank Forcella
Affiliation:
USDA-ARS, North Central Soil Conservation Research Laboratory, Morris, MN 56267
Gregg A. Johnson
Affiliation:
Department of Agronomy and Plant Genetics, University of Minnesota, Southern Research and Outreach Center, Waseca MN 56093
George Kegode
Affiliation:
Department of Plant Sciences, North Dakota State University, Fargo, ND 58105
John L. Lindquist
Affiliation:
Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE 68583
Edward C. Luschei
Affiliation:
Department of Agronomy, University of Wisconsin, Madison, WI 53706
Karen A. Renner
Affiliation:
Department of Crop and Soil Sciences, Michigan State University, East Lansing, MI 48824
Christy L. Sprague
Affiliation:
Department of Crop Sciences, University of Illinois, Urbana, IL 61801
Martin M. Williams II
Affiliation:
Washington State University, Prosser, WA, 99350

Abstract

Weed seedbanks have been studied intensively at local scales, but to date, there have been no regional-scale studies of weed seedbank persistence. Empirical and modeling studies indicate that reducing weed seedbank persistence can play an important role in integrated weed management. Annual seedbank persistence of 13 summer annual weed species was studied from 2001 through 2003 at eight locations in the north central United States and one location in the northwestern United States. Effects of seed depth placement, tillage, and abiotic environmental factors on seedbank persistence were examined through regression and multivariate ordinations. All species examined showed a negative relationship between hydrothermal time and seedbank persistence. Seedbank persistence was very similar between the two years of the study for common lambsquarters, giant foxtail, and velvetleaf when data were pooled over location, depth, and tillage. Seedbank persistence of common lambsquarters, giant foxtail, and velvetleaf from October 2001 through 2002 and October 2002 through 2003 was, respectively, 52.3% and 60.0%, 21.3% and 21.8%, and 57.5% and 57.2%. These results demonstrate that robust estimates of seedbank persistence are possible when many observations are averaged over numerous locations. Future studies are needed to develop methods of reducing seedbank persistence, especially for weed species with particularly long-lived seeds.

Type
Weed Biology and Ecology
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Benech-Arnold, R. L., Sanchez, R. A., Forcella, F., Kruck, B. C., and Ghersa, C. M. 2000. Environmental control of dormancy in weed seedbanks in soil. Field Crops Res 67:105122.Google Scholar
Benvenuti, S., Macchia, M., and Miele, S. 2001. Quantitative analysis of emergence of seedlings from buried weed seeds with increasing soil depth. Weed Sci 49:528535.Google Scholar
Bradford, K. 2002. Applications of hydrothermal time to quantifying and modeling seed germination and dormancy. Weed Sci 50:248260.Google Scholar
Buhler, D. D. and Hartzler, R. G. 2001. Emergence and persistence of seed of velvetleaf, common waterhemp, wooly cupgrass, and giant foxtail. Weed Sci 49:230235.Google Scholar
Burnside, O. C., Wilson, R. G., Weisberg, S., and Hubbard, K. G. 1996. Seed longevity of 41 weed species buried 17 years in eastern and western Nebraska. Weed Sci 44:7486.CrossRefGoogle Scholar
Cousens, R. and Mortimer, M. 1995. Dynamics of Weed Populations. Cambridge, U.K.: Cambridge University Press. 332 p.Google Scholar
Davis, A. S., Dixon, P. M., and Liebman, M. 2004. Using matrix models to determine cropping system effects on annual weed demography. Ecol. Appl 14:655668.Google Scholar
Fenner, M. and Thompson, K. 2005. The Ecology of Seeds. Cambridge, U.K.: Cambridge University Press. 250 p.Google Scholar
Flerchinger, G. N. 2000. The Simultaneous Heat and Water (SHAW) Model: User's Manual. Northwest Watershed Research Center, U.S.D.A.-A.R.S. Pp. 20. www.nwrc.ars.usda.gov/models/shaw/.Google Scholar
Forcella, F., Wilson, R. G., Dekker, J., Kremer, R. J., Cardina, J., Anderson, R. L., Alm, D., Renner, K. A., Harvey, G., and Clay, S. 1997. Weed seedbank emergence across the corn belt. Weed Sci 45:6776.Google Scholar
Gallandt, E. R., Fuerst, E. P., and Kennedy, A. C. 2004. Effect of tillage, fungicide seed treatment, and soil fumigation on seedbank dynamics of wild oat (Avena fatua). Weed Sci 52:597604.Google Scholar
Gonzalez-Andujar, J. L. and Fernandez-Quintanilla, C. 1991. Modelling the population dynamics of Avena sterilis under dry-land cereal cropping systems. J. Appl. Ecol 28:1627.Google Scholar
Gotelli, N. J. and Ellison, A. M. 2004. A Primer of Ecological Statistics. Sunderland, MA: Sinauer. 150 p.Google Scholar
Grundy, A. C., Phelps, K., Reader, R. J., and Burston, S. 2000. Modelling the germination of Stellaria media using the concept of hydrothermal time. New Phytol 148:433444.Google Scholar
Harrison, S. K., Regnier, E. E., and Schmoll, J. T. 2003. Postdispersal predation of giant ragweed (Ambrosia trifida) in no-tillage corn. Weed Sci 51:955964.Google Scholar
Jordan, N., Mortensen, D. A., Prenzlow, D. M., and Cox, K. C. 1995. Simulation analysis of crop rotation effects on weed seedbanks. Am. J. Bot 82:390398.CrossRefGoogle Scholar
Kremer, R. J. 1986. Antimicrobial activity of velvetleaf (Abutilon theophrasti) seeds. Weed Sci 34:617622.Google Scholar
Kremer, R. J. 1993. Management of weed seedbanks with microorganisms. Ecol. Appl 3:4252.Google Scholar
Lewis, J. 1973. Longevity of crop and weed seeds: survival after 20 years in soil. Weed Res 13:179191.Google Scholar
Neter, J., Kutner, M. H., Nachtsheim, C. J., and Wasserman, W. 1996. Applied Linear Statistical Models. Chicago: Irwin. 1408 p.Google Scholar
Økland, R. H. 1996. Are ordination and constrained ordination alternative or complementary strategies in general ecological studies? J. Veg. Sci 7:289292.Google Scholar
Peters, J. ed. 2000. Tetrazolium Testing Handbook. Contrib. No. 29 to the Handbook on Seed Testing. Lincoln, NE: Association of Official Seed Analysts.Google Scholar
Robertson, G. P., Klingensmith, K. M., Klug, M. J., Paul, E. A., Crum, J. R., and Ellis, B. G. 1997. Soil resources, microbial activity, and primary production across an agricultural ecosystem. Ecol. Appl 7:158170.Google Scholar
Schafer, M. and Kotanen, P. M. 2003. The influence of soil moisture on losses of buried seeds to fungi. Acta Oecol 24:255263.Google Scholar
Shem-Tov, S., Klose, S., Ajwa, H. A., and Fennimore, S. A. 2005. Effect of carbon:nitrogen ratio and organic amendments on seedbank longevity. Weed Sci. Soc. Am. Abstr 45:97.Google Scholar
Tate, R. L. I. 1987. Soil Organic Matter: Biological and Ecological Effects. New York: Wiley Interscience. 318 p.Google Scholar
Taylor, K. L. and Hartzler, R. G. 2000. Effect of seedbank augmentation on herbicide efficacy. Weed Technol 14:261267.CrossRefGoogle Scholar
Telewski, F. W. and Zeevaart, J. A. D. 2002. The 120-yr period for Dr. Beal's seed viability experiment. Am. J. Bot 89:12851288.CrossRefGoogle ScholarPubMed
Teo-Sherrell, C. P. A., Mortensen, D. A., and Keaton, M. E. 1996. Fates of weed seeds in soil: a seeded core method of study. J. Appl. Ecol 33:11071113.CrossRefGoogle Scholar
ter Braak, C. J. F. and Smilauer, P. 2002. CANOCO Reference Manual and CanoDraw for Window's User's Guide: Software for Canonical Community Ordination (Version 4.5). Ithaca, NY: Microcomputer Power. 500 p.Google Scholar
Thompson, K., Bakker, J., and Bekker, R. 1997. The Soil Seedbanks of North West Europe: Methodology, Density and Longevity. Cambridge, U.K.: Cambridge University Press. 276 p.Google Scholar
Underwood, A. J. 1997. Experiments in Ecology: Their Design and Interpretation Using Analysis of Variance. Cambridge, U.K.: Cambridge University Press. 504 p.Google Scholar