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Pollen-Mediated Gene Flow in Common Lambsquarters (Chenopodium album)

Published online by Cambridge University Press:  20 January 2017

Melinda K. Yerka
Affiliation:
Department of Agronomy, University of Wisconsin-Madison, 1575 Linden Drive, Madison, WI 53706
Natalia de Leon
Affiliation:
Department of Agronomy, University of Wisconsin-Madison, 1575 Linden Drive, Madison, WI 53706
David E. Stoltenberg*
Affiliation:
Department of Agronomy, University of Wisconsin-Madison, 1575 Linden Drive, Madison, WI 53706
*
Corresponding author's E-mail: [email protected]

Abstract

Common lambsquarters is highly competitive in many cropping systems and has demonstrated resistance to several herbicide mechanisms of action. However, predicting the spread of resistance is difficult due to limited information about gene flow. We conducted research to determine the potential for movement of resistance alleles in common lambsquarters under field conditions. Chenopodium giganteum (a member of the C. album aggregate) that has a dominant magenta phenotypic marker was used as a pollen parent in gene flow experiments. A wild-type accession of common lambsquarters was used as a seed parent. Seed parents were grown in a soybean field and arranged in concentric circles 2 to 15 m from a center which contained 24 pollen parents. The concentric circles were divided into eight directions. Pollen movement was estimated by determining the percentage of progeny with the magenta phenotype from seed parents. Average cross-pollination across directions was greatest (3.0%) at 2 m and decreased to low levels (0.16%) 15 m from the center, consistent with observations of other primarily self-pollinated species. Cross-pollination was greatest (P < 0.10) in the south-southwest, west-southwest, and west-northwest directions, approximately 180° from the prevailing wind direction during the time of pollen shed. Since common lambsquarters does not have an active dispersal mechanism for seeds, pollen-mediated gene flow may play an important role in the transfer and frequency of resistance alleles within and between populations.

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

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References

Literature Cited

Bhargava, A., Shukla, S., and Ohri, D. 2006. Karyotypic studies on some cultivated and wild species of Chenopodium (Chenopodiaceae). Genet. Resour. Crop Evol. 53:13091320.Google Scholar
Barton, J. E. and Dracup, M. 2000. Genetically modified crops and the environment. Agron. J. 92:797803.Google Scholar
Bateman, A. J. 1947. Contamination of seed crops: II. Wind pollination. Heredity. 1:235246.Google Scholar
Conley, S. P., Stoltenberg, D. E., Boerboom, C. M., and Binning, L. K. 2003. Predicting soybean yield loss in giant foxtail (Setaria faberi) and common lambsquarters (Chenopodium album) communities. Weed Sci. 51:402407.Google Scholar
Conn, J. S. and Deck, R. E. 1995. Seed viability and dormancy of 17 weed species after 9.7 years of burial in Alaska. Weed Sci. 43:583585.Google Scholar
Darmency, H. and Gasquez, J. 1990. Appearance and spread of triazine resistance in common lambsquarters (Chenopodium album). Weed Technol. 4:173177.Google Scholar
de Vries, A. P. 1971. Flowering biology of wheat particularly in view of hybrid seed production: a review. Euphytica. 20:152170.Google Scholar
de Vries, A. P. 1972. Some aspects of cross pollination in wheat (Triticum aestivum L.) 1. Pollen concentration in the field as influenced by cultivar, diurnal pattern, weather conditions, and the level as compared to the height of the pollen donor. Euphytica. 21:185203.Google Scholar
Gasquez, J. 1985. Breeding system and genetic structure of a Chenopodium album population according to crop and herbicide rotation. Pages 5766 in Jacquard, P., Heim, G., and Antonovics, J., eds. Genetic differentiation and dispersal in plants. Berlin Springer-Verlag and NATO Science Affairs Division.Google Scholar
Gramig, G. G. and Stoltenberg, D. E. 2009. Adaptive responses of field-grown common lambsquarters (Chenopodium album) to variable light quality and quantity environments. Weed Sci. 57:271280.Google Scholar
Halsey, M. E., Remund, K. M., Davis, C. A., Qualls, M., Eppard, P. J., and Berberich, S. A. 2005. Isolation of maize from pollen-mediated gene flow by time and distance. Crop Sci. 45:21722185.Google Scholar
Harrison, S. K. 1990. Interference and seed production by common lambsquarters (Chenopodium album) in soybeans (Glycine max). Weed Sci. 38:113118.Google Scholar
Heap, I. 2011. The International Survey of Herbicide Resistant Weeds. http://www.weedscience.com/. Accessed September 14, 2011.Google Scholar
Hite, G. A., King, S. R., Hagood, E. S., and Holtzman, G. I. 2008. Differential response of a Virginia common lambsquarters (Chenopodium album) collection to glyphosate. Weed Sci. 56:203209.Google Scholar
Holm, L. G., Plucknett, D. L., Pancho, J. V., and Herberger, J. P. 1977. Chenopodium album L. Pages 8491 in The World's Worst Weeds: Distribution and Biology. Honolulu, HI University Press.Google Scholar
Jasieniuk, M., Brûlé-Babel, A. L., and Morrison, I. N. 1996. The evolution and genetics of herbicide resistance in weeds. Weed Sci. 44:176193.Google Scholar
Jones, M. D. and Brooks, J. S. 1950. Effectiveness of distance and border rows in preventing outcrossing in corn. Technical Bulletin No. 38. Stillwater, OK Oklahoma Agricultural Experiment Station. 18 p.Google Scholar
Jones, M. D. and Brooks, J. S. 1952. Effect of tree barriers on outcrossing in corn. Technical Bulletin No. 45. Stillwater, OK Oklahoma Agricultural Experiment Station. 11 p.Google Scholar
Kniss, A. R., Miller, S. D., Westra, P. H., and Wilson, R. G. 2007. Glyphosate susceptibility in common lambsquarters (Chenopodium album) is influenced by parental exposure. Weed Sci. 55:572577.Google Scholar
Kruger, G. R., Johnson, W. G., Weller, S. C., Owen, M. D. K., Shaw, D. R., Wilcut, J. W., Jordan, D. L., Wilson, R. G., Bernards, M. L., and Young, B. G. 2009. U.S. grower views on problematic weeds and changes in weed pressure in glyphosate-resistant corn, cotton, and soybean cropping systems. Weed Technol. 23:162166.Google Scholar
Lizaso, J. I., Westgate, M. E., Batchelor, W. D., and Fonseca, A. 2003. Predicting potential kernel set in maize from simple flowering characteristics. Crop Sci. 43:892903.Google Scholar
Ma, B. L., Subedi, K. D., and Reid, L. M. 2004. Extent of cross-fertilization in maize by pollen from neighboring transgenic hybrids. Crop Sci. 44:12731282.Google Scholar
Marshall, M. W., Al-Khatib, K., and Loughin, T. 2001. Gene flow, growth, and competitiveness of imazethapyr-resistant sunflower. Weed Sci. 49:1421.Google Scholar
Matus-Cadiz, M. A., Hucl, P., Horak, M. J., and Blomquist, L. K. 2004. Gene flow in wheat at the field scale. Crop Sci. 44:718727.Google Scholar
Moechnig, M. J., Boerboom, C. M., Stoltenberg, D. E., and Binning, L. K. 2003a. Growth interactions in communities of common lambsquarters (Chenopodium album), giant foxtail (Setaria faberi), and corn. Weed Sci. 51:363370.Google Scholar
Moechnig, M. J., Stoltenberg, D. E., Boerboom, C. M., and Binning, L. K. 2003b. Empirical corn-yield loss estimation from common lambsquarters (Chenopodium album) and giant foxtail (Setaria faberi) in mixed communities. Weed Sci. 51:386393.Google Scholar
Mulugeta, D., Maxwell, B. D., Fay, P. K., and Dyer, W. E. 1994. Kochia (Kochia scoparia) pollen dispersion, viability and germination. Weed Sci. 42:548552.Google Scholar
Neve, P. 2008. Simulation modeling to understand the evolution and management of glyphosate resistance in weeds. Pest Manag. Sci. 64:392401.Google Scholar
Newman, D. and Tallmon, D. A. 2001. Experimental evidence for beneficial fitness effects of gene flow in recently isolated populations. Conserv. Biol. 15:10541063.Google Scholar
Powles, S. B. and Preston, C. 2006. Evolved glyphosate resistance in plants: biochemical and genetic basis of resistance. Weed Technol. 20:282289.Google Scholar
Rahiminejad, M. R. and Gornall, R. J. 2004. Flavonoid evidence for allopolyploidy in the Chenopodium album aggregate (Amaranthaceae). Plant Syst. Evol. 246:7787.Google Scholar
Rong, J., Lu, B. R., Song, Z., Su, J., Snow, A. A., Zhang, X., Sun, S., Chen, R., and Wang, F. 2007. Dramatic reduction of crop-to-crop gene flow within a short distance from transgenic rice fields. New Phytol. 173:346353.Google Scholar
Sivesind, E. C., Gaska, J. M., Jeschke, M. R., Boerboom, C. M., and Stoltenberg, D. E. 2011. Common lambsquarters response to glyphosate across environments. Weed Technol. 25:4450.Google Scholar
Stallings, G. P., Thill, D. C., Mallory-Smith, C. A., and Shafii, B. 1995. Pollen-mediated gene flow of sulfonylurea-resistant kochia (Kochia scoparia). Weed Sci. 43:95102.Google Scholar
Tallmon, D. A., Luikart, G., and Waples, R. S. 2004. The alluring simplicity and complex reality of genetic rescue. Trends Ecol. Evol. 19:489496.Google Scholar
[USDA-NRCS] U.S. Department of Agriculture-Natural Resources Conservation Service. 2012. The PLANTS Database. http://plants.usda.gov/. Accessed: June 11, 2012.Google Scholar
Volenberg, D. S. and Stoltenberg, D. E. 2002. Giant foxtail (Setaria faberi) outcrossing and inheritance of resistance to acetyl-coenzyme A carboxylase inhibitors. Weed Sci. 50:622627.Google Scholar
Waines, J. G. and Hegde, S. G. 2003. Intraspecific gene flow in bread wheat as affected by reproductive biology and pollination ecology of wheat flowers. Crop Sci. 43:451463.Google Scholar
Westhoven, A. M., Kruger, G. R., Gerber, C. K., Stachler, J. M., Loux, M. M., and Johnson, W. G. 2008. Characterization of selected common lambsquarters (Chenopodium album) biotypes with tolerance to glyphosate. Weed Sci. 56:685691.Google Scholar
Wisconsin State Climatology Office. 2009. Arlington university farm, Arlington, WI, climate summary. http://www.aos.wisc.edu/∼sco/. Accessed November 2, 2009.Google Scholar
Wolfinger, R. D. 1996. Heterogeneous variance-covariance structures for repeated measures. J. Agric. Biol. Environ. Stat. 1:205230.Google Scholar