Hostname: page-component-8448b6f56d-jr42d Total loading time: 0 Render date: 2024-04-16T10:14:22.244Z Has data issue: false hasContentIssue false
  • English
  • Français

A Hydrothermal Seedling Emergence Model for Giant Ragweed (Ambrosia trifida)

Published online by Cambridge University Press:  20 January 2017

Brian J. Schutte ,
Emilie E. Regnier ,
S. Kent Harrison ,
Jerron T. Schmoll ,
Kurt Spokas  and
Frank Forcella
Brian J. Schutte*
Affiliation:
Department of Horticulture and Crop Science, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210
Emilie E. Regnier
Affiliation:
Department of Horticulture and Crop Science, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210
S. Kent Harrison
Affiliation:
Department of Horticulture and Crop Science, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210
Jerron T. Schmoll
Affiliation:
Department of Horticulture and Crop Science, The Ohio State University, 2021 Coffey Road, Columbus, OH 43210
Kurt Spokas
Affiliation:
United States Department of Agriculture—Agricultural Research Service North Central Soil Conservation Research Laboratory, 803 Iowa Avenue, Morris, MN 56267
Frank Forcella
Affiliation:
United States Department of Agriculture—Agricultural Research Service North Central Soil Conservation Research Laboratory, 803 Iowa Avenue, Morris, MN 56267
*
Corresponding author's E-mail: brian.schutte@ars.usda.gov
Get access Rights & Permissions [Opens in a new window]

Abstract

Late-season giant ragweed emergence in Ohio crop fields complicates decisions concerning the optimum time to implement control measures. Our objectives were to develop a hydrothermal time emergence model for a late-emerging biotype and validate the model in a variety of locations and burial environments. To develop the model, giant ragweed seedlings were counted and removed weekly each growing season from 2000 to 2003 in a fallow field located in west central Ohio. Weather data, soil characteristics and geographic location were used to predict soil thermal and moisture conditions with the Soil Temperature and Moisture Model (STM2). Hydrothermal time (θHT) initiated March 1 and base values were extrapolated from the literature (Tb = 2 C, ψb = −10 MPa). Cumulative percent emergence initially increased rapidly and reached 60% of maximum by late April (approximately 400 θHT), leveled off for a period in May, and increased again at a lower rate before concluding in late July (approximately 2,300 θHT). The period in May when few seedlings emerged was not subject to soil temperatures or water potentials less than the θHT base values. The biphasic pattern of emergence was modeled with two successive Weibull models that were validated in 2005 in a tilled and a no-tillage environment and in 2006 at a separate location in a no-tillage environment. Root-mean-square values for comparing actual and model predicted cumulative emergence values ranged from 8.0 to 9.5%, indicating a high degree of accuracy. This experiment demonstrated an approach to emergence modeling that can be used to forecast emergence on a local basis according to weed biotype and easily obtainable soil and weather data.

Keywords

Giant ragweed, Ambrosia trifida L.Weed ecologyweed management decision toolsoil moisturesoil temperature
Type
Weed Biology and Ecology
Information
Weed Science , Volume 56 , Issue 4 , August 2008 , pp. 555 - 560
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

Abul-Fatih, H. A. and Bazzaz, F. A. 1979. The biology of Ambrosia trifida L. II. Germination, emergence, growth and survival. New Phytol. 83:817–827.Google Scholar
Benech-Arnold, R. L. and Sánchez, R. A. 1995. Modeling weed seed germination. Pages 545–566. in Kigel, J. and Galili, G. Seed Development and Germination. New York, NY Marcel Dekker.Google Scholar
Benech-Arnold, R. L., Sanchez, R. A., Forcella, F., Kruk, B. C., and Ghersa, C. M. 2000. Environmental control of dormancy in weed seed banks in soil. Field Crops Res. 67:105–122.Google Scholar
Bradford, K. J. 1996. Population-based models describing seed dormancy behaviour: implications for experimental design and interpretation. Pages 313–339. in Lang, G. A. Plant Dormancy: Physiology, Biochemistry and Molecular Biology. Wallingford, UK CAB International.Google Scholar
Brainard, D. C., DiTommaso, A., and Mohler, C. L. 2006. Intraspecific variation in germination response to ammonium nitrate of Powell amaranth (Amaranthus powellii) seeds originating from organic vs. conventional vegetable farms. Weed Sci. 54:435–442.Google Scholar
Brown, R. F. and Mayer, D. G. 1988. Representing cumulative germination. 2. The use of the Weibull function and other empirically derived curves. Ann. Bot. 61:127–138.Google Scholar
Campbell, G. S. 1977. An Introduction to Environmental Biophysics. New York Springer-Verlag. 1–31.Google Scholar
Clements, D. R., DiTommaso, A., Jordan, N., Booth, B. D., Cardina, J., Doohan, D., Mohler, C. L., Murphy, S. D., and Swanton, C. J. 2004. Adaptability of plants invading North American cropland. Agric. Ecosyst. Environ. 104:379–398.Google Scholar
Egley, G. H. and Williams, R. D. 1991. Emergence periodicity of six summer annual weed species. Weed Sci. 39:595–600.Google Scholar
Ekeleme, F., Forcella, F., Archer, D. W., Akobundu, I. O., and Chikoye, D. 2005. Seedling emergence model for tropic ageratum (Ageratum conyzoides). Weed Sci. 53:55–61.Google Scholar
Forcella, F. 1998. Real-time assessment of seed dormancy and seedling growth for weed management. Seed Sci. Res. 8:201–209.Google Scholar
Forcella, F., Benech-Arnold, R. L., Sanchez, R. A., and Ghersa, C. M. 2000. Modeling seedling emergence. Field Crops Res. 67:123–139.Google Scholar
Gibson, K. D., Johnson, W. G., and Hillger, D. E. 2005. Farmer perceptions of problematic corn and soybean weeds in Indiana. Weed Technol. 19:1065–1070.Google Scholar
Grundy, A. C. 2003. Predicting weed emergence: a review of approaches and future challenges. Weed Res. 43:1–11.Google Scholar
Grundy, A. C. and Mead, A. 2000. Modeling weed emergence as a function of meteorological records. Weed Sci. 48:594–603.Google Scholar
Grundy, A. C., Peters, N. C. B., Rasmussen, I. A., Hartmann, K. M., Sattin, M., Andersson, L., Mead, A., Murdoch, A. J., and Forcella, F. 2003. Emergence of Chenopodium album and Stellaria media of different origins under different climatic conditions. Weed Res. 43:163–176.Google Scholar
Gummerson, R. J. 1986. The effect of constant temperature and osmotic potentials on the germination of sugar beat. J. Exp. Bot. 37:729–741.Google Scholar
Harrison, S. K., Regnier, E. E., Schmoll, J. T., and Harrison, J. M. 2007. Seed size and burial effects on giant ragweed (Ambrosia trifida) emergence and seed demise. Weed Sci. 55:16–22.Google Scholar
Harrison, S. K., Regnier, E. E., Schmoll, J. T., and Webb, J. E. 2001. Competition and fecundity of giant ragweed in corn. Weed Sci. 49:224–229.Google Scholar
Hartnett, D. C., Hartnett, B. B., and Bazzaz, F. A. 1987. Persistence of Ambrosia trifida populations in old fields and responses to successional changes. Am. J. Bot. 74:1239–1248.Google Scholar
Jana, S. and Thai, K. M. 1987. Patterns of changes of dormant genotypes in Avena fatua populations under different agricultural conditions. Can. J. Bot. 65:1741–1745.Google Scholar
Leishman, M. R., Wright, I. J., Moles, A. T., and Westoby, M. 2000. The evolutionary ecology of seed size. Pages 31–58. in Fenner, M. Seeds: The Ecology of Regeneration in Plant Communities. 2nd ed. New York, NY CAB International.Google Scholar
Leon, R. G., Bassham, D. C., and Owen, M. D. K. 2006. Germination and proteome analyses reveal intraspecific variation in seed dormancy regulation in common waterhemp (Amaranthus tuberculatus). Weed Sci. 54:305–315.Google Scholar
Mayer, D. G. and Butler, D. G. 1993. Statistical validation. Ecol. Model. 68:21–32.Google Scholar
Michael, P. J., Steadman, K. J., and Plummer, J. A. 2006. Climatic regulation of seed dormancy and emergence of diverse Malva parviflora populations from a Mediterranean-type environment. Seed Sci. Res. 16:273–281.CrossRefGoogle Scholar
Mortimer, A. M. 1997. Phenological adaptation in weeds—an evolutionary response to the use of herbicides. Pestic. Sci. 51:299–304.Google Scholar
Myers, M., Curran, W. S., VanGessel, M. J., Calvin, D. D., Mortensen, D. A., Majek, B. A., Kartsen, H. D., and Roth, G. W. 2004. Predicting weed emergence for eight annual species in the northeastern United States. Weed Sci. 52:913–919.CrossRefGoogle Scholar
Naylor, J. M. and Jana, S. 1976. Genetic adaptation for seed dormancy in Avena fatua . Can. J. Bot. 54:306–312.Google Scholar
Ogg, A. G. and Dawson, J. H. 1984. Time of emergence of eight weed species. Weed Sci. 32:327–335.CrossRefGoogle Scholar
Roman, E. S., Murphy, S. D., and Swanton, C. J. 2000. Simulation of Chenopodium album seedling emergence. Weed Sci. 48:217–224.Google Scholar
Sako, Y., Regnier, E. E., Daoust, T., Fujimura, K., Harrison, S. K., and McDonald, M. B. 2001. Computer image analysis and classification of giant ragweed seeds. Weed Sci. 49:738–745.CrossRefGoogle Scholar
Schutte, B. J., Regnier, E. E., and Harrison, S. K. 2006a. Dissection of divergent emergence patterns in agricultural and successional giant ragweed populations. Proc. Weed Sci. Soc. Am. 46:49.Google Scholar
Schutte, B. J., Regnier, E. E., and Harrison, S. K. 2006b. Maternal plant as sources of emergence variation within giant ragweed (Ambrosia trifida L.) populations. Abstr. Weed. Sci. Soc. Am. 46:29.Google Scholar
Shrestha, A., Roman, E. S., Thomas, A. G., and Swanton, C. J. 1999. Modeling germination and shoot-radicle elongation of Ambrosia artemisiifolia . Weed Sci. 47:557–562.Google Scholar
Spokas, K. and Forcella, F. 2006. Estimating hourly incoming solar radiation from limited meteorological data. Weed Sci. 54:182–189.Google Scholar
Spokas, K., Forcella, F., Archer, D., Peterson, D., and Miller, S. 2007. Improving weed germination models by incorporating seed microclimate and translocation by tillage. Proc. Weed Sci. Soc. Am. 44:60.Google Scholar
Sprague, C. L., Wax, L. M., Hartzler, R. G., and Harrison, S. K. 2004. Variations in emergence patterns of giant ragweed biotypes from Ohio, Illinois, and Iowa. Abstr. Weed Sci. Soc. Am. 44:60.Google Scholar
Vleeshouwers, L. M. 1997. Modelling the effect of temperature, soil penetration resistance, burial depth and seed weight on pre-emergence growth of weeds. Ann. Bot. 79:553–563.Google Scholar
Webster, T. M., Loux, M. M., Regnier, E. E., and Harrison, S. K. 1994. Giant ragweed (Ambrosia trifida) canopy architecture and interference studies in soybean (Glycine max). Weed Technol. 8:559–564.Google Scholar