Using relational decision trees to model out-crossing rates in a multi-field setting

Marko Debeljak, Aneta Trajanov, Daniela Stojanova, Florence Leprince and Sašo Džeroski

Ecological Modelling, 2012, vol. 245, issue C, 75-83

Abstract: Nearly three-quarters of the genetically modified maize (the insect resistant type MON 810, also called Bt maize) produced in the EU are cultivated in Spain, where the share of Bt maize cultivation in some regions (Catalonia) is very high (above 70%). In order to ensure coexistence with the production of conventional maize and satisfy the 0.9% EU threshold for adventitious presence of authorized genetically modified (GM) material in conventional (non-GM) maize crops, a set of preventive coexistence measures must be applied. These measures usually include the setup of large and fixed isolation distances, pollen barriers, flowering coincidence, crop rotation and other measures, which are very hard to fulfill in a multi-field setting. Basic empirical and modeling studies that explore the feasibility of coexistence between GM and non-GM crops focus on pair-based interactions between fields while multi-field studies build upon them, attempting to consider the complexity of gene flow under crop management practices.

Keywords: Genetically modified maize; Coexistence; Multi-field effects; Relational data mining; Relational classification trees (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:245:y:2012:i:c:p:75-83

DOI: 10.1016/j.ecolmodel.2012.04.015

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