Name
Title | ||
|---|---|---|
Design of a decision support tool for managing coexistence between genetically modified and conventional maize at farm and regional levels |
Abstract | ||
|---|---|---|
Over the last 15years, several studies on coexistence have used simulation results of spatially explicit gene flow models. These models predict the adventitious presence (AP) of GM grains in non-GM fields at the landscape scale. However, result uncertainty is not quantified. Moreover, most of the models require an important amount of input data on climate, land use, and crop management practices which might not always be available. A comprehensive Bayesian statistical approach has been implemented in the case of gene flow. This approach makes it possible to inform the decision-maker on AP, whatever the amount of information available in a given situation, to provide information on the uncertainty of the predictions and to model the variability of AP within a field, which helps set up sampling strategies. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.ecoinf.2015.09.014 | Ecological Informatics |
Keywords | Field | DocType |
AP,DST,EC,GM | Ecology,Computer science,Decision support system,Genetically modified maize,Probability distribution,Risk management,Sampling (statistics),User interface,Bayesian probability,Land use | Journal |
Volume | ISSN | Citations |
30 | 1574-9541 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anne Meillet | 1 | 0 | 0.34 |
| Frédérique Angevin | 2 | 4 | 1.21 |
| Arnaud Bensadoun | 3 | 0 | 0.34 |
| Guillaume Huby | 4 | 0 | 0.34 |
| Hervé Monod | 5 | 39 | 4.36 |
| Antoine Messéan | 6 | 0 | 1.01 |