Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-18T18:05:15.716Z Has data issue: false hasContentIssue false

Simulation of Chenopodium album seedling emergence

Published online by Cambridge University Press:  20 January 2017

Erivelton S. Roman
Affiliation:
Department of Plant Agriculture, University of Guelph, Guelph, ON, Canada N1G 2W1
Stephen D. Murphy
Affiliation:
Department of Environmental and Resource Studies, University of Waterloo, Waterloo, ON, Canada N2L 3G1

Abstract

Studies were conducted to develop a model from field and laboratory studies to predict the emergence phenology of Chenopodium album. A mechanistic model to predict the phenology of weed seedling emergence across locations, years, and tillage systems is presented. This was accomplished by the integration of hydrothermal time to describe germination and thermal time to describe shoot elongation. The interaction of soil moisture and temperature in the model was accounted for by the integration of hydrothermal time in algorithms predicting seed germination. Soil temperatures within the weed seed germination zone were predicted by temperature ranges at different depths in the soil. Emergence phenology of C. album seedlings was predicted with greater accuracy under no-till and moldboard plow systems than under a chisel plow system. We attributed this lower accuracy in the chisel plow system to increased heterogeneity in the soil matrix and vertical distribution of the seedbank caused by the chisel plow. The presence or absence of Zea mays did not affect model performance. The use of soil temperature to calculate thermal time was a better predictor of C. album seedling emergence than air temperature. The ability to predict weed seedling emergence phenology is an important component of an integrated weed management strategy.

Type
Research Article
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

Addae, P. C., Collis-George, N., and Pearson, C. J. 1991. Over-riding effects of temperature and soil strength on wheat seedlings under minimum and conventional tillage. Field Crops Res. 28:103116.CrossRefGoogle Scholar
Angus, J. F., Cunningham, R. B., Moncu, M. W., and Mackenzie, D. H. 1981. Phonic development in field crops. I. Thermal response in the seedling phase. Field Crops Res. 3:365378.Google Scholar
Benech-Arnold, R. L., Ghersa, C. M., Sanchez, R. A., and Insausti, P. 1990. Temperature effects on dormancy release and germination rate in Sorghum halepense (L.) Per. seeds: a quantitative analysis. Weed Res. 30:8189.Google Scholar
Boydston, R. A. 1990. Time of emergence and seed production of long-spine sandbur (Cenchrus longspinus) and puncturevine (Tribulus terrestrris). Weed Sci. 38:1621.CrossRefGoogle Scholar
Bruce, R. R. and Luxmoore, R. J. 1986. Water retention: field methods. Pages 663686 In Klute, A., ed. Methods of Soil Analysis. Part 1. Physical and Mineralogical Methods. Madison, WI: American Society of Agronomy/Crop Science Society of America/Soil Science Society of America.Google Scholar
Buhler, D. D. 1992. Population dynamics and control of annual weeds in corn (Zea mays) as influenced by tillage. Weed Sci. 40:241248.CrossRefGoogle Scholar
Campbell, G. S. 1977. An introduction to environmental biophysics. New York: Springer-Verlag. pp. 919.CrossRefGoogle Scholar
Carberry, P. S. and Campbell, L. C. 1989. Temperature parameters useful for modeling the germination and emergence of pearl millet. Crop Sci. 29:220223.CrossRefGoogle Scholar
Chepil, W. S. 1946. Germination of weed seeds: II. The influence of tillage treatments on germination. Sci. Agric. 26:347357.Google Scholar
Chikoye, D., Weise, S. F., and Swanton, C. J. 1995. Influence of common ragweed (Ambrosia artemisiifolia) time of emergence and density on white bean (Phaseolus vulgaris). Weed Sci. 43:375380.CrossRefGoogle Scholar
Clements, D. R., Benoit, D. L., Murphy, S. D., and Swanton, C. J. 1996. Tillage effects on weed seed return and seedbank composition. Weed Sci. 44:314322.CrossRefGoogle Scholar
Dumur, D., Pilbeam, C. J., and Craigon, J. 1990. Use of the Weibull function to calculate cardinal temperatures in faba bean. J. Exp. Bot. 41:14231430.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. 44:407414.CrossRefGoogle Scholar
Forcella, F. 1992. Prediction of weed seedling densities from buried seed reserves. Weed Res. 32:2938.CrossRefGoogle Scholar
Forcella, F. 1993. Seedling emergence model for velvetleaf. Agron. J. 85:929933.CrossRefGoogle Scholar
Frick, B. and Thomas, A. G. 1992. Weed surveys in different tillage systems in southwestern Ontario fields. Can. J. Plant Sci. 72:13371347.CrossRefGoogle Scholar
Fyfield, T. P. and Gregory, P. J. 1989. Effects of temperature and water potential on germination, radicle elongation and emergence of mungbean. J. Exp. Bot. 40:667674.CrossRefGoogle Scholar
Gummerson, R. J. 1986. The effect of constant temperature and osmotic potentials on the germination of sugar beet. J. Exp. Bot. 37:729741.CrossRefGoogle Scholar
Gupta, S. C., Schneider, E. C., and Swan, J. B. 1988. Planting depth and tillage interactions on corn emergence. Soil Sci. Soc. Am. J. 52:11221127.CrossRefGoogle Scholar
Hammer, G. L., Carberry, P. S., and Muchow, R. C. 1993. Modelling genotypic and environmental control of leaf area dynamics in grain sorghum. I. Whole plant level. Field Crops Res. 33:293310.CrossRefGoogle Scholar
Hartwig, R. O. and Laflen, J. M. 1978. A meterstick method for measuring crop residue cover. J. Soil Water Cons. 33:9091.Google Scholar
Harvey, S. J. and Forcella, F. 1993. Vernal seedling emergence model for common lambsquarters (Chenopodium album). Weed Sci. 41:309316.CrossRefGoogle Scholar
Hunt, L. A. and Pararajasingham, S. 1995. CROPSIM-WHEAT: a model describing the growth and development of wheat. Can. J. Plant Sci. 75:619632.CrossRefGoogle Scholar
Johnson, M. D. and Lowery, B. 1985. Effect of three conservation tillage practices on soil temperature and thermal properties. Soil Sci. Soc. Am. J. 40:15471552.CrossRefGoogle 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. 42:561567.CrossRefGoogle Scholar
Kropff, M. J., Weaver, S. E., and Smits, M. A. 1992. Use of ecophysiological models for crop weed interference: relations amongst weed density, relative time of weed emergence, relative leaf area and yield loss. Weed Sci. 40:296301.CrossRefGoogle Scholar
McMaster, G. S., Wilhelm, W. W., and Morgan, J. A. 1992. Simulating winter wheat shoot apex phenology. J. Agric. Sci. 119:112.CrossRefGoogle Scholar
Mulugeta, D. and Stoltenberg, D. E. 1997. Seed bank characterization and emergence of a weed community in a moldboard plow system. Weed Sci. 45:5460.CrossRefGoogle Scholar
Oke, T. R. 1987. Boundary layer climates. 2nd ed. New York: Methuen. pp. 4257 and 229–236.Google Scholar
Oryokot, J.O.E., Hunt, L. A., Murphy, S. D., and Swanton, C. J. 1997a. Simulation of pigweed (Amaranthus spp.) seedling emergence in different tillage systems. Weed Sci. 45:684690.CrossRefGoogle Scholar
Oryokot, J.O.E., Murphy, S. D., and Swanton, C. J. 1997b. Effect of tillage and corn on pigweed (Amaranthus spp.) seedling emergence and density. Weed Sci. 45:120126.CrossRefGoogle Scholar
Ralston, M. L. and Jennrich, R. I. 1978. DUD, a derivative-free algorithm for non-linear least squares. Technometrics 20:714.CrossRefGoogle Scholar
Richards, L. A. 1965. Physical condition of water in soil. Pages 128152 In Black, C. A., ed. Methods of Soil Analysis. Part 1. Physical and Mineralogical Methods. Madison, WI: Agronomy Society of America Publication 9.Google Scholar
Roman, E. S., Murphy, S. D., and Swanton, C. J. 1999a. Effect of tillage and Zea mays on Chenopodium album seedling emergence and density. Weed Sci. 47:551556.CrossRefGoogle Scholar
Roman, E. S., Thomas, A. G., Murphy, S. D., and Swanton, C. J. 1999b. Modeling germination and seedling elongation of common lambsquarters (Chenopodium album). Weed Sci. 47:149155.CrossRefGoogle Scholar
Ross, H. A. and Hegarty, T. W. 1979. Sensitivity of seed germination and seedling radicle growth to moisture stress in some vegetable crop species. Ann. Bot. 43:241243.CrossRefGoogle Scholar
Stoller, E. W. and Wax, L. M. 1973. Periodicity of germination and emergence of some annual weeds. Weed Sci. 21:574580.CrossRefGoogle Scholar
Swanton, C. J. and Murphy, S. D. 1996. Weed science beyond the weeds: the role of integrated weed management (IWM) in agroecosystem health. Weed Sci. 44:437445.CrossRefGoogle Scholar
Swanton, C. J., Weaver, S., Cowan, P., Van Acker, R., Deen, W., and Shrestha, A. 1999. Weed thresholds: theory and applicability. J. Crop Prod. 2:929.CrossRefGoogle Scholar
Vleeshouwers, L. M. and Kropff, M. J. 1996. Prediction of weed emergence in the field. Pages 209214 In Proceedings of the Second International Weed Control Congress. Volume I. Copenhagen, Denmark: Dept. of Weed Control and Pesticide Ecology, Denmark.Google Scholar
Weaver, S. E., Tan, C. S., and Brain, P. 1988. Effect of temperature and soil moisture on time of emergence of tomatoes and four weed species. Can. J. Plant Sci. 68:877886.CrossRefGoogle Scholar
Wheeler, T. R. and Ellis, R. H. 1991. Seed quality, cotyledon elongation at suboptimal temperatures, and the yield of onion. Seed Sci. Res. 1:5767.CrossRefGoogle 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. 40:429433.CrossRefGoogle Scholar
Zhai, R. R., Kachanoski, G., and Voroney, R. P. 1990. Tillage effects on the spatial and temporal variation of soil water. Soil Sci. Soc. Am. J. 54:186192.CrossRefGoogle Scholar