Proceedings of the Sixty-first Annual Meeting of the Northeastern ...
Proceedings of the Sixty-first Annual Meeting of the Northeastern ... Proceedings of the Sixty-first Annual Meeting of the Northeastern ...
130 HORSEWEED: FROM OBSCURITY TO THE LIMELIGHT. M.J. VanGessel, Univ. of Delaware, Georgetown. ABSTRACT Horseweed (Conyza canadensis) is a ubiquitous plant species found in temperate climates world-wide. It infests crops grown under no-tillage production and in perennial crops. In 2000, plants found in Delaware were identified as resistant to glyphosate. It was the first report of a broadleaf weed resistant to glyphosate. Since that time, a number of research programs have had an interest in studying this species. Based on electronic databases of scientific journals, well over half of the studies listing horseweed in the title or as a keyword (~60%) were published since 2001. While this recent interest in horseweed is not exclusive to the presence of glyphosate-resistant biotypes, most of the ecology and biology based studies of this species cite resistance as a justification for conducting the trials. Horseweed research since 2001 has become more expansive and often focuses on horseweed, rather than identifying horseweed as one of the species present at the experimental site 112
131 HOW THE SPATIAL SCALE OF DISPERSAL MODELING HAS INCREASED WITH GLYPHOSATE-RESISTANT HORSEWEED. J.T. Dauer, D.A. Mortensen, The Pennsylvania State Univ., University Park, E.C. Luschei, Univ. of Wisconsin, Madison, M.J. VanGessel, Univ. of Delaware, Georgetown, and E.S. Shields, Cornell Univ., Ithaca, NY. ABSTRACT Population dynamics modeling of species spread often assume no vector assisted movement and can be represented using cellular automata models where a population contributes genes, seeds or pollen, to nearest neighboring cells. In the simplest sense, these models can be adjusted to include vectored movement by increasing the probability of seed landing at long distances. This method ignores the underlying mechanisms of vectored movement and fails to accurately simulate longdistance dispersal. The importance of glyphosate-resistant horseweed has generated interest in quantifying the likelihood that seed are being distributed to nearest neighbor fields versus long-distance dispersal. Instead of a cellular approach, we defined the landscape by a series of polygons outlining actual fields in a 10 km x 9 km aerial photo of Pennsylvania cropland. Polygons were assigned initial crop type, corn or soybean, which were rotated yearly and impacted the survivorship of seed that arrived in the previous time step. A 2-dimensional 2-parameter dispersal model dependent on distance from the source and source strength was applied to seed movement in the landscape. Dispersal was normalized by area to determine seed arrival in every field in the landscape. Survivorship varied from zero percent (best management with alternative herbicides, tillage) to 100 percent (glyphosate only). Simulations conducted thus far have not included a directional wind vector but will be included as the model advances. Spread from randomly initiated source fields was slow for three years, increasing source strength but spreading less than 1 km per year. In the fourth and fifth years after initiation, seed dispersal and establishment reached fields at the extent of the described landscape (at least 5 km). Continued manipulation of the model will explore the importance of field size and quantify the necessary efficacy to reduce spread to less than 1 km per year. The ability of horseweed seed to disperse long distances has enlarged the scale at which resistance management can have an impact. Focusing on a single field or a small region will not prevent spread of this biotype to neighboring farms. As more species develop resistance to glyphosate, questions about how to reduce the impact will require predictive models created on the correct spatial scale. 113
- Page 80 and 81: 80 EFFECTS OF PLANTING AND TERMINAT
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- Page 138 and 139: 138 Supplemental NEWSS Abstracts (p
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- Page 170 and 171: 170 2005, Hilary Sandler and Brent
- Page 172 and 173: 172 (Ornamentals), Rakesh Chandran
- Page 174 and 175: 174 Total Expenses $38,227.24 Total
- Page 176 and 177: 176 PUBLIC RELATIONS Brent Lackey A
- Page 178 and 179: 178 • 2 nd place team: Guelph tea
131<br />
HOW THE SPATIAL SCALE OF DISPERSAL MODELING HAS INCREASED WITH<br />
GLYPHOSATE-RESISTANT HORSEWEED. J.T. Dauer, D.A. Mortensen, The<br />
Pennsylvania State Univ., University Park, E.C. Luschei, Univ. <strong>of</strong> Wisconsin, Madison,<br />
M.J. VanGessel, Univ. <strong>of</strong> Delaware, Georgetown, and E.S. Shields, Cornell Univ.,<br />
Ithaca, NY.<br />
ABSTRACT<br />
Population dynamics modeling <strong>of</strong> species spread <strong>of</strong>ten assume no vector<br />
assisted movement and can be represented using cellular automata models where a<br />
population contributes genes, seeds or pollen, to nearest neighboring cells. In <strong>the</strong><br />
simplest sense, <strong>the</strong>se models can be adjusted to include vectored movement by<br />
increasing <strong>the</strong> probability <strong>of</strong> seed landing at long distances. This method ignores <strong>the</strong><br />
underlying mechanisms <strong>of</strong> vectored movement and fails to accurately simulate longdistance<br />
dispersal. The importance <strong>of</strong> glyphosate-resistant horseweed has generated<br />
interest in quantifying <strong>the</strong> likelihood that seed are being distributed to nearest neighbor<br />
fields versus long-distance dispersal. Instead <strong>of</strong> a cellular approach, we defined <strong>the</strong><br />
landscape by a series <strong>of</strong> polygons outlining actual fields in a 10 km x 9 km aerial photo<br />
<strong>of</strong> Pennsylvania cropland. Polygons were assigned initial crop type, corn or soybean,<br />
which were rotated yearly and impacted <strong>the</strong> survivorship <strong>of</strong> seed that arrived in <strong>the</strong><br />
previous time step. A 2-dimensional 2-parameter dispersal model dependent on<br />
distance from <strong>the</strong> source and source strength was applied to seed movement in <strong>the</strong><br />
landscape. Dispersal was normalized by area to determine seed arrival in every field in<br />
<strong>the</strong> landscape. Survivorship varied from zero percent (best management with<br />
alternative herbicides, tillage) to 100 percent (glyphosate only). Simulations conducted<br />
thus far have not included a directional wind vector but will be included as <strong>the</strong> model<br />
advances. Spread from randomly initiated source fields was slow for three years,<br />
increasing source strength but spreading less than 1 km per year. In <strong>the</strong> fourth and fifth<br />
years after initiation, seed dispersal and establishment reached fields at <strong>the</strong> extent <strong>of</strong><br />
<strong>the</strong> described landscape (at least 5 km). Continued manipulation <strong>of</strong> <strong>the</strong> model will<br />
explore <strong>the</strong> importance <strong>of</strong> field size and quantify <strong>the</strong> necessary efficacy to reduce<br />
spread to less than 1 km per year. The ability <strong>of</strong> horseweed seed to disperse long<br />
distances has enlarged <strong>the</strong> scale at which resistance management can have an impact.<br />
Focusing on a single field or a small region will not prevent spread <strong>of</strong> this biotype to<br />
neighboring farms. As more species develop resistance to glyphosate, questions about<br />
how to reduce <strong>the</strong> impact will require predictive models created on <strong>the</strong> correct spatial<br />
scale.<br />
113