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An algorithm for estimating potential deposition of corn pollen for environmental assessment

Published online by Cambridge University Press:  15 June 2005

Shigeto Kawashima ,
Kazuhito Matsuo ,
Mingyuan Du ,
Yuichi Takahashi ,
Satoshi Inoue  and
Seiichiro Yonemura
Shigeto Kawashima
Affiliation:
National Institute for Agro-Environmental Sciences 3-1-3 Kannondai, Tsukuba 305-8604, Japan
Kazuhito Matsuo
Affiliation:
National Institute for Agro-Environmental Sciences 3-1-3 Kannondai, Tsukuba 305-8604, Japan
Mingyuan Du
Affiliation:
National Institute for Agro-Environmental Sciences 3-1-3 Kannondai, Tsukuba 305-8604, Japan
Yuichi Takahashi
Affiliation:
Yamagata Prefectural Institute of Public Health 1-6-6 Tohkamachi, Yamagata 990-0031, Japan
Satoshi Inoue
Affiliation:
National Institute for Agro-Environmental Sciences 3-1-3 Kannondai, Tsukuba 305-8604, Japan
Seiichiro Yonemura
Affiliation:
National Institute for Agro-Environmental Sciences 3-1-3 Kannondai, Tsukuba 305-8604, Japan

Abstract

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The safety and impact on the environment of transgenic crops are important issues, and studies have shown that pollen from transgenic Bt (Bacillus thuringiensis) corn (Zea mays L.) may kill nontarget insects. To develop an algorithm for assessing the environmental effect of transgenic crops, we arranged a field experiment in Tsukuba, Japan. Pollen dispersal and deposition were measured inside and outside a cornfield throughout the flowering period. Weather conditions such as wind speed and direction were measured at the same time. Pollen dispersal peaked 1 week after the start of flowering and continued for 12 days thereafter. The variation in daily pollen dispersal was similar at all observation points. Both pollen dispersal and deposition decreased exponentially with distance from the cornfield on all days. We estimated potential pollen deposition with a quasi-mechanistic model that incorporates the effects of wind direction, wind speed, and flowering intensity. The daily potential deposition was summed over the flowering period, and then the relationship between distance from the cornfield and the integrated potential deposition was estimated. It was possible to show the effective area of the environmental risk zone posed by genetically modified pollen by combining the distance/deposition relationship with the dose/response relationship derived from a laboratory assay. The algorithm described here can be applied to various wind-pollinated plants to estimate both potential and integrated pollen deposition.

Keywords

transgenic cropspollen depositionmeteorological effectestimation modelrisk assessment
Type
Research Article
Information
Environmental Biosafety Research , Volume 3 , Issue 4 , October 2004 , pp. 197 - 207
Copyright
© ISBR, EDP Sciences, 2004

References

Arya SP (1999) Air pollution meteorology and dispersion. Oxford University Press, New York
Asero, R (2002) Birch and ragweed pollinosis north of Milan: a model to investigate the effects of exposure to new airborne allergens. Allergy 57: 1063–1066 CrossRefPubMed
Durham, OC (1946) The volumetric incidence of atmospheric allergens. III. Rate of fall of pollen grains in still air. J. Allergy 17: 70–78 CrossRef
Giddings GD, Sackville Hamilton NR, Hayward MD (1997) The release of genetically modified grasses. Part 1: pollen dispersal to traps in Lolium perenne. Theor. Appl. Genet. 94: 1000–1006
Hellmich, RL, Siegfried, BD, Sears, MK, Stanley-Horn, DE, Daniels, MJ, Mattila, HR, Spencer, T, Bidne, KG, Lewis, LC (2001) Monarch larvae sensitivity to Bacillus thuringiensis-purified proteins and pollen. Proc. Natl. Acad. Sci. U.S.A. 98: 11925–11930 CrossRef
Hoshikawa K (1989) Zea. In Horita et al., eds, Dictionary of Useful Plants of the World, Heibonsha, Tokyo, pp 1116–1119
Jackson, ST, Lyford, ME (1999) Pollen dispersal models in Quaternary plant ecology: assumptions, parameters, and prescriptions. Bot. Rev. 65: 39–75 CrossRef
Kawashima, S, Takahashi, Y (1995) Modelling and simulation of mesoscale dispersion processes for airborne cedar pollen. Grana 34: 142–150 CrossRef
Kawashima, S, Takahashi, Y (2000) An improved simulation of mesoscale dispersion of airborne cedar pollen using a flowering-time map. Grana 38: 316–324 CrossRef
Klein, EK, Lavigne, C, Foueillassar, X, Gouyon, PH, Laredo, C (2003) Corn pollen dispersal: Quasi-mechanistic models and field experiments. Ecol. Monogr. 73: 131–150 CrossRef
Losey, JE, Raynor, LS, Carter, ME (1999) Transgenic pollen harms monarch larvae. Nature 399: 214 CrossRef
Manasse, RS (1992) Ecological risks of transgenic plants: effects of spatial dispersion on gene flow. Ecol. Appl. 2: 431–438 CrossRef
McCartney, HA, Lacey, ME (1991) Wind dispersal of pollen from crops of oilseed rape (Brassica napus L.). J. Aerosol Sci. 22: 467–477 CrossRef
Morris, WF, Price, MV, Waser, NM, Thomson, JD, Thomson, B, Stratton, DA (1994) Systematic increase in pollen carryover and its consequences for geitonogamy in plant populations. Oikos 71: 431–440 CrossRef
Nurminiemi, M, Tufto, J, Nilsson, NO, Rognli, OA (1998) Spatial models of pollen dispersal in the forage grass meadow fescue. Evol. Ecol. 12: 487–502 CrossRef
Paterniani, E, Stort, AC (1974) Effective maize pollen dispersal in the field. Euphytica 23: 129–134 CrossRef
Paul, EM, Thompson, C, Dunwell, JM (1995) Gene dispersal from genetically modified oilseed rape in the field. Euphytica 81: 283–289 CrossRef
Price, MDR, Moore, PD (1984) Pollen dispersion in the hills of Wales: A pollen shed hypothesis. Pollen Spores 26: 127–136
Raynor, GS, Ogden, EC, Hayes, JV (1972a) Dispersion and deposition of corn pollen from experimental sources. Agron. J. 64: 420–427 CrossRef
Raynor, GS, Ogden, EC, Hayes, JV (1972b) Dispersion and deposition of timothy pollen from experimental sources. Agric. Meteorol. 9: 347–366 CrossRef
Raynor, GS, Ogden, EC, Hayes, JV (1973) Dispersion of pollens from low-level, crosswind line sources. Agric. Meteorol. 11: 177–195 CrossRef
Roche, HM, Alexander, AD, Maltby, AD (1995) Dispersal and disease gradients of anther-smut infection of Silene alba at different life stages. Ecology 76: 1863–1871 CrossRef
Sears, MK, Hellmich, RL, Stanley-Horn, DE, Oberhauser, KS, Pleasants, JM, Mattila, HR, Siegfried, BD, Dively, GP (2001) Impact of Bt corn pollen on monarch butterfly populations: A risk assessment. Proc. Natl. Acad. Sci. U.S.A. 98: 11937–11942 CrossRef
Timmons AM, O'Brien ET, Charters YM, Dubbels SJ, Wilkinson MJ (1995) Assessing the risks of wind pollination from fields of genetically modified Brassica napus ssp. oleifera. Euphytica 85: 417–423 CrossRef
Tufto, J, Engen, S, Hindar, K (1997) Stochastic dispersal processes in plant populations. Theor. Popul. Biol. 52: 16–26 CrossRef
Young KA, Schmitt J (1995) Genetic variation and phenotypic plasticity of pollen release and capture height in Plantago lanceolata. Funct. Ecol. 9: 725–733
Zangerl, AR, McKenna, D, Wraight, CL, Carroll, M, Ficarello, P, Warner, R, Berenbaum, MR (2001) Effects of exposure to event 176 Bacillus thuringiensis corn pollen on monarch and black swallowtail caterpillars under field conditions. Proc. Natl. Acad. Sci. U.S.A. 98: 11908–11912 CrossRef