Title of article :
GeneTraMP, a spatio-temporal model of the dispersal and persistence of transgenes in feral, volunteer and crop plants of oilseed rape and related species
Author/Authors :
Middelhoff، نويسنده , , Ulrike and Reuter، نويسنده , , Hauke and Breckling، نويسنده , , Broder، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Pages :
15
From page :
974
To page :
988
Abstract :
We present a mechanistic simulation model (GeneTraMP), which allows analysing the persistence and dispersal of genetically modified plants (GMP) in heterogeneous landscapes. The modelling approach focuses on a spatial explicit representation of both, individual feral and volunteer plants as well as aggregated plant cohorts of crop plants and their reproduction units (pollen and seeds). The plant representation is set up to differentiate several crop species and related wild species. A variable number of genes can be considered, enabling to study a variety of questions related to gene flow, persistence and stacking of genetically modified traits in agricultural and natural landscapes. Different management schemes can be included to quantify and evaluate the outcome of small-scale interactions of natural processes and human activities in relation to various issues of concern in the current debate on GMP concerning environmental impact, biodiversity issues and the coexistence of GM and conventional crops.In this paper we present the general model setup, model structure and the implementation of basic processes concerning spatial configuration, plant development and dispersal of pollen and seeds. As far as possible, these were implemented by applying existing and previously validated model descriptions. The parameterisation was done for oilseed rape (OSR) and the region of northern Germany. Simulation results are presented to provide first insights into the potential of the model to represent and analyse many relevant aspects related to the introduction of genetically modified (GM) OSR crops in agriculture. The model also provides a basis for a spatial extrapolation when being run with appropriate data sets that represent the regional variability of relevant input parameter.
Keywords :
Genetically modified plants (GMP) , gene flow , spatio-temporal variability , plant development , Seed persistence , Management practice , Gene stacking , Oilseed rape , BRASSICA NAPUS , Object oriented modelling , Herbicide resistance
Journal title :
Ecological Indicators
Serial Year :
2011
Journal title :
Ecological Indicators
Record number :
2092109
Link To Document :
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