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A Model for Predicting Common Cocklebur (Xanthium strumarium) Emergence in Soybean

Published online by Cambridge University Press:  20 January 2017

Jason K. Norsworthy  and
Marcos J. Oliveira
Jason K. Norsworthy*
Affiliation:
Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR 72704
Marcos J. Oliveira
Affiliation:
Department of Entomology, Soils, and Plant Sciences, Clemson University, Clemson, SC 29634
*
Corresponding author's E-mail: jnorswor@uark.edu
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Abstract

The objective of this research was to develop a model to predict common cocklebur seedling emergence in spring tillage and no-spring-tillage systems in the presence and absence of a soybean canopy. A Weibull function was used to accumulate heat units (i.e., growing degree days) at a 2.5 cm soil depth on days when mean soil temperature, soil water potential, and soil thermal fluctuation were above established thresholds. The base temperature, soil water potential, and soil thermal fluctuation thresholds used for model development were 17 C, −100 kPa, and 7.5 C, respectively. A single function adequately described common cocklebur seedling emergence in the presence and absence of drill-seeded soybean from data combined over an artificial (2004) and natural seedbank (2005) (R2 = 0.986). Model parameterization differed between the artificial and natural seedbank in the absence of spring tillage, but emergence was adequately described, regardless of soybean presence. Separate parameter estimates for the artificial and natural seedbanks were needed to adequately describe emergence in the system without spring tillage (R2 = 0.975 to 0.984). The ability of the model to account for reduced emergence when soil moisture is limited or when daily thermal fluctuation requirements are not met could assist practitioners with assessments associated with field scouting for weeds as well as other management decisions.

Keywords

Common cocklebur, Xanthium strumarium L. XANSTsoybean, Glycine max (L.) MerrGrowing degree dayshydrothermal timesoil temperaturesoil thermal fluctuationsoil water potentialthermal timeweed emergence modeling
Type
Weed Biology and Ecology
Information
Weed Science , Volume 55 , Issue 4 , August 2007 , pp. 341 - 345
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Anderson, R. L. and Nielsen, D. C. 1996. Emergence pattern of five weeds in the Central Great Plains. Weed Technol. 10:744–749.CrossRefGoogle Scholar
Bararpour, M. T. and Oliver, L. R. 1998. Effect of tillage and interference on common cocklebur (Xanthium strumarium) and sicklepod (Senna obtusifolia) population, seed production, and seedbank. Weed Sci. 46:424–431.Google Scholar
Benech-Arnold, R. L., Ghersa, C. M., Sanchez, R. A., and Garcia-Fernandez, A. E. 1988. The role of fluctuating temperatures in the germination and establishment of Sorghum halepense (L.) Pers. regulation of germination under leaf canopies. Funct. Ecol. 2:311–318.Google Scholar
Benech-Arnold, R. L., Ghersa, C. M., Sanchez, R. A., and Insausti, P. 1990. A mathematical model to predict Sorghum halepense (L.) Pers. seedling emergence in relation to soil temperature. Weed Res. 30:91–99.CrossRefGoogle Scholar
Buhler, D. D. and Hartzler, R. G. 2001. Emergence and persistence of seed of velvetleaf, common waterhemp, woolly cupgrass, and giant foxtail. Weed Sci. 49:230–235.Google Scholar
Buhler, D. D. and Mester, T. C. 1991. Effect of tillage systems on the emergence depth of giant (Setaria faberi) and green foxtail (Setaria viridis). Weed Sci. 39:200–203.CrossRefGoogle Scholar
Buhler, D. D., Mester, T. C., and Kohler, K. A. 1996. The effect of maize residues and tillage on emergence of Setaria faberi, Abutilon theophrasti, Amaranthus retroflexus, and Chenopodium album . Weed Res. 36:153–165.Google Scholar
Bullied, W. J., Marginet, A. M., and Van Acker, R. C. 2003. Conventional- and conservation-tillage systems influence emergence periodicity of annual weed species in canola. Weed Sci. 51:886–897.Google Scholar
Egley, G. H. 1986. Stimulation of weed seed in soil. Rev. Weed Sci. 2:67–89.Google Scholar
Egley, G. H. and Williams, R. D. 1991. Emergence periodicity of six summer annual weed species. Weed Sci. 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
Fidanza, M. A., Dernoeden, P. H., and Zhang, M. 1996. Degree-days for predicting smooth crabgrass emergence in cool-season turfgrasses. Crop Sci. 36:990–996.CrossRefGoogle Scholar
Finch-Savage, W. E. and Phelps, K. 1993. Onion (Allium cepa L.) seedling emergence patterns can be explained by the influence of soil temperature and water potential on seed germination. J. Exp. Bot. 44:407–414.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., and Ghersa, C. M. 2000. Modeling seedling emergence. Field Crops Res. 67:123–139.Google Scholar
Forcella, F., Wilson, R. G., and Dekker, J. et al. 1997. Weed seed bank emergence across the corn belt. Weed Sci. 45:67–76.Google Scholar
Gallagher, R. S. and Cardina, J. 1998. The effect of light environment during tillage on the recruitment of various summer annuals. Weed Sci. 46:214–216.CrossRefGoogle Scholar
Grundy, A. C. 2002. Predicting weed emergence: a review of approaches and future challenges. Weed Res. 43:1–11.CrossRefGoogle Scholar
Hartzler, R. G. 1996. Velvetleaf (Abutilon theophrasti) population dynamics following a single year's seed rain. Weed Technol. 10:581–586.Google Scholar
Hartzler, R. G., Buhler, D. D., and Stoltenburg, D. E. 1999. Emergence characteristics of four annual weed species. Weed Sci. 47:578–584.Google Scholar
Jha, P., Norsworthy, J. K., Bangarwa, S. K., Malik, M. S., and Oliveira, M. J. 2006. Temporal emergence of Palmer amaranth from a natural seedbank. Proc. South. Weed Sci. 59:177.Google Scholar
Jones, J. W., Boote, K. J., Hoogenboom, G., Jagtap, S. S., and Wilkerson, G. G. 1989. SOYGRO V5.42—Soybean Crop Growth Simulation Model User's Guide. Gainesville, FL University of Florida, Florida Agriculture Experiment Journal No. 8304.Google Scholar
Kegode, G. O., Pearce, R. B., and Bailey, T. B. 1998. Influence of fluctuating temperatures on emergence of shattercane (Sorghum bicolor) and giant foxtail (Setaria faberi). Weed Sci. 46:330–335.Google Scholar
King, C. A. and Oliver, L. R. 1994. A model for predicting large crabgrass (Digitaria sanguinalis) emergence as influenced by temperature and water potential. Weed Sci. 42:561–567.Google Scholar
Knezevic, S. Z., Wiese, S. F., and Swanton, C. J. 1994. Interference of redroot pigweed (Amaranthus retroflexus) in corn (Zea mays). Weed Sci. 42:568–573.CrossRefGoogle Scholar
Leblanc, M. L., Cloutier, D. C., Legere, A., Lemieux, C., Assemat, L., Benoit, D. L., and Hamel, C. 2002. Effect of presence and absence of corn on common lambsquarters (Chenopodium album L.) and barnyardgrass [Echinochloa crus-galli (L.) Beauv.] emergence. Weed Technol. 16:638–644.Google Scholar
Leguizamon, E. S., Fernanadez-Quintanilla, C., Barroso, J., and Gonzalez-Andujar, J. L. 2005. Using thermal and hydrothermal time to model seedling emergence of Avena sterilis ssp. ludoviciana in Spain. Weed Res. 45:149–156.CrossRefGoogle Scholar
Masin, R., Zuin, M. C., Archer, D. W., Forcella, F., and Zanin, G. 2005. WeedTurf: a predictive model to aid control of annual summer weeds in turf. Weed Sci. 53:193–201.CrossRefGoogle Scholar
Myers, M. W., Curran, W. S., VanGessel, M. J., Majek, B. A., Mortensen, D. A., Calvin, D. D., Kartsen, H. D., and Roth, G. W. 2005a. Effect of soil disturbance on annual weed emergence in the northeastern United States. Weed Technol. 19:274–282.Google Scholar
Myers, M. W., Curran, W. S., VanGessel, M. J., Majek, B. A., Mortensen, D. A., Calvin, D. D., Kartsen, H. D., and Roth, G. W. 2005b. Predicting weed emergence for eight annual species in the northeastern United States. Weed Sci. 52:913–919.Google Scholar
Norsworthy, J. K. 2004. Soybean canopy formation effects on pitted morningglory (Ipomoea lacunosa), common cocklebur (Xanthium strumarium), and sicklepod (Senna obtusifolia) emergence. Weed Sci. 52:954–960.Google Scholar
Norsworthy, J. K. and Oliveira, M. J. 2007a. Light and temperature requirements for common cocklebur (Xanthium strumarium) germination during after-ripening under field conditions. Weed Sci. 55:227–234.Google Scholar
Norsworthy, J. K. and Oliveira, M. J. 2007b. Tillage and soybean canopy effects on common cocklebur (Xanthium strumarium) emergence. Weed Sci. In press.Google Scholar
Oliveira, M. J. and Norsworthy, J. K. 2005. Effect of drill-seeded soybean and tillage on temporal emergence of sicklepod. Proc. South. Weed Sci. Soc. 58:62.Google Scholar
Roman, E. S., Murphy, S. D., and Swanton, C. J. 1999. Effects of tillage and Zea mays on Chenopodium album seedling emergence and density. Weed Sci. 47:551–556.Google Scholar
Roman, E. S., Murphy, S. D., and Swanton, C. J. 2000. Simulation of Chenopodium album seedling emergence. Weed Sci. 48:217–224.CrossRefGoogle Scholar
Stoller, E. W. and Wax, L. M. 1973. Periodicity of germination and emergence of some annual weeds. Weed Sci. 21:574–580.Google Scholar
Yenish, J. P., Doll, J. D., and Buhler, D. D. 1992. Effects of tillage on vertical distribution and viability of weed seed in soil. Weed Sci. 40:429–433.Google Scholar