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A Comparison of Economic and Economic Optimum Thresholds for Two Annual Weeds in Soybeans

Published online by Cambridge University Press:  12 June 2017

Troy A. Bauer  and
David A. Mortensen
Troy A. Bauer
Affiliation:
Univ. Nebraska, Lincoln, NE 68583-0915
David A. Mortensen
Affiliation:
Univ. Nebraska, Lincoln, NE 68583-0915
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Abstract

Long term weed management programs for annual weeds should take into account seed production as well as yield losses from weeds. In this research economic optimum thresholds, determined with a simulation model, were compared to the economic thresholds derived from field studies with common sunflower and velvetleaf in soybean. An economic optimum threshold model, including a biological submodel and a submodel evaluating the financial benefit from controlling each weed species in soybean, was constructed to estimate the biological events and processes and economic costs of each weed. Long-term weed management programs were simulated in continuous soybean over a 15-yr period. The model optimized a POST treatment of bentazon by computing costs associated with weed interference and changes in estimated seedbank size. The economic optimum threshold populations were estimated to be 0.3 to 0.4 velvetleaf plants per 10 m2 and 0.4 common sunflower plants per 10 m2. The economic thresholds calculated to be 2.6 velvetleaf plants per 10 m2 and 1.5 common sunflower plants per 10 m2. The economic optimum threshold was calculated to be 7.5-fold and 3.6-fold lower than the economic thresholds for velvetleaf and common sunflower, respectively. The larger ratio for velvetleaf reflected the large quantity and longevity of seeds produced. The smaller ratio for common sunflower reflected the shorter persistence of the seeds and higher seed predation rates.

Keywords

Bentazon, 3-(1-methylethyl)-(1H-2,1,3-benzothiadiazin-4(3H)-one 2,2-dioxide, velvetleaf, Abutilon theophrasti Medic. ♯ ABUTH, common sunflower, Helianthus annuus L. ♯ HELAN, soybean, Glycine max (L.) Merr.Economic thresholdweed interferencebentazonAbutilon theophrastiGlycine maxHelianthus annuusABUTHHELAN
Type
Symposium
Information
Weed Technology , Volume 6 , Issue 1 , March 1992 , pp. 228 - 235
Copyright
Copyright © 1990 by the Weed Science Society of America 

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References

Literature Cited

1. Auld, B. A., and Tisdell, C. A. 1988. Influence of spatial distribution of weeds on crop yield loss. Plant Prot. Q. 3:81.Google Scholar
2. Bauer, T. A. 1990. Environmental variability, economic optimization and measurements of weed thresholds in soybeans. MS. Thesis, Univ. Nebraska, Lincoln, NE.Google Scholar
3. Bauer, T. A., Mortensen, D. A., Wicks, G. A., Hayden, T. A., and Martin, A. R. 1991. Environmental variability associated with economic thresholds for soybeans. Weed Sci. 39:564–569.Google Scholar
4. Brust, G. E., and House, G. J. 1988. Weed seed destruction by arthropods and rodents in low-input soybean agroecosystems. Am. J. Alternative Agric. 3:19–25.Google Scholar
5. Burnside, O. C., Fenster, C. R., Evetts, L. L., and Mumm, R. F. 1981. Germination of exhumed weed seed in Nebraska. Weed Sci. 29:577–586.CrossRefGoogle Scholar
6. Coble, H. D. 1985. The development and implementation of economic thresholds for soybeans. p. 295–307 in Frisbie, R. E., and Adkisson, P. L., eds. Integrated Pest Management on Major Agricultural Systems. Texas A&M Univ., College Station, Tex. Google Scholar
7. Cousens, R., Wilson, B. J., and Cussans, G. W. 1985. To spray or not to spray: The theory behind the practice. Proc. Br. Crop Prot. Conf.–Weeds. p. 671–678.Google Scholar
8. Cousens, R., Doyle, C. J., Wilson, B. J., and Cussans, G. W. 1986. Modelling the economics of controlling Avena fatua in winter wheat. Pestic. Sci. 17:1–12.Google Scholar
9. Cousens, R. 1987. Theory and reality of weed control thresholds. Plant Prot. Q. 2:13–20.Google Scholar
10. Cousens, R. 1985. A simple model relating yield loss to weed density. Ann. Appl. Biol. 107:239–252.CrossRefGoogle Scholar
11. Doyle, C. J., Cousens, R., and Moss, S. R. 1986. A model of the economics of controlling Alopecurus myosuroides Huds. in winter wheat. Crop Prot. 5:143–150.CrossRefGoogle Scholar
12. Egley, G. H., and Chandler, J. M. 1978. Germination and viability of weed seeds after 2.5 years in a 50-year buried seed study. Weed sci. 26:230–239.CrossRefGoogle Scholar
13. Egley, G. H., and Chandler, J. M. 1983. Longevity of weed seeds after 5.5 years in the Stoneville 50-year buried-seed study. Weed Sci. 31:264–270.Google Scholar
14. Firbank, L. G., and Watkinson, A. R. 1986. Modelling the population dynamics of an arable weed and its effects upon crop yield. J. Appl. Ecol. 23:147–159.Google Scholar
15. Hughes, G. 1990. The Problem of weed patchiness. Weed Res. 30:223–224.CrossRefGoogle Scholar
16. Jose, H. D., Bitney, L. L., Clark, R. T., Duey, D. D., Klein, R. N., Mohrmann, J. R., Powell, T. A., Robb, J. G., Selley, R. A., and Sheffield, L. F. 1990. Estimated crop and livestock production costs. Nebraska Cooperative Extension EC 90-872.Google Scholar
17. Kirkpatrick, B. L., and Bazzaz, F. A. 1979. Influence of certain fungi on seed germination and seedling survival of four colonizing annuals. J. Appl. Ecol. 16:515–527.Google Scholar
18. Lapham, J. 1987. Population dynamics and competitive effects of Cyperus esculentus (yellow nutsedge)–Prediction of cost-effective control strategies. Proc. Br, Crop. Prot. Conf.–Weeds. p. 1043–1050.Google Scholar
19. Lueschen, W. E., and Andersen, R. N. 1980. Longevity of velvetleaf (Abutilon theophrasti) seeds in soil under agricultural practices. Weed Sci. 28:341–346.CrossRefGoogle Scholar
20. Mortimer, A. M., Putwain, P. D., and McMahon, D. J. 1978. A theoretical approach to the prediction of weed population sizes. Proc. Br. Crop Prot. Conf.–Weeds. p. 467–474.Google Scholar
21. Norris, R. F. 1984. Weed thresholds in relation to long-term population dynamics. Proc. West. Weed Sci. Soc. p. 38–44.Google Scholar
22. Weaver, S. E. 1990. Size-dependent economic thresholds for veivetleaf (Abutilon theophrasti Medic.), cocklebur (Xanthim strumarium L.), and jimsonweed (Datura stramonium L.) in soybeans. Abstr. Weed Sci. Soc. Am. 30:298.Google Scholar
23. Weaver, S. E. 1986. Factors affecting threshold levels and seed production of jimsonweed (Datura stramonium L.) in soyabeans [(Glycine max (L.) Merr.)]. Weed Res. 26:215–223.Google Scholar