Using a Generational Time-Step Model to Simulate Dynamics of Adaptation to Transgenic Corn and Crop Rotation by Western Corn Rootworm (Coleoptera: Chrysomelidae)
Author(s) -
David W. Crowder,
David W. Onstad
Publication year - 2005
Publication title -
journal of economic entomology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.818
H-Index - 101
eISSN - 1938-291X
pISSN - 0022-0493
DOI - 10.1093/jee/98.2.518
Subject(s) - genetically modified maize , western corn rootworm , biology , agronomy , genetically modified crops , transgene , sowing , crop , crop rotation , population , resistance (ecology) , allele , rotation system , genetically modified organism , zea mays , gene , genetics , demography , physics , quantum mechanics , sociology , nitrogen
We expanded a simulation model of the population dynamics and genetics of the western corn rootworm for a landscape of corn, soybean, and other crops to study the simultaneous development of resistance to both crop rotation and transgenic corn. Transgenic corn effective against corn rootworm was recently approved in 2003 and may be a very effective new technology for control of western corn rootworm in areas with or without the rotation-resistant variant. In simulations of areas with rotation-resistant populations, planting transgenic corn to only rotated cornfields was a robust strategy to prevent resistance to both traits. In these areas, planting transgenic corn to only continuous fields was not an effective strategy for preventing adaptation to crop rotation or transgenic corn. In areas without rotation-resistant phenotypes, gene expression of the allele for resistance to transgenic corn was the most important factor affecting the development of resistance to transgenic corn. If the allele for resistance to transgenic corn is recessive, resistance can be delayed longer than 15 yr, but if the resistant allele is dominant then resistance usually developed within 15 yr. In a sensitivity analysis, among the parameters investigated, initial allele frequency and density dependence were the two most important factors affecting the evolution of resistance. We compared the results of this simulation model with a more complicated model and results between the two were similar. This indicates that results from a simpler model with a generational time-step can compare favorably with a more complex model with a daily time-step.
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