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The European Union policy of zero tolerance : insights from the discovery of CDC TriffidDayananda, Buwani 11 July 2011
Flax is one of the major cash crops in Canada. Approximately seventy percent of Canadian flaxseed was exported to European Union (EU) annually until 2009. In 2009, the EU imposed an import ban on Canadian flaxseed due to the adventitious presence of a GM flax variety - CDC Triffid was identified in Canadian flaxseed exported to the EU. The EUs decision to apply zero tolerance on CDC Triffid flax has been based on its interpretation of the precautionary principle. According to the World Trade Organisations Agreement on the Application of Sanitary and Phytosanitary Measures (SPS), however, precautionary measures are subject to a scientific risk assessment. As the EU did not base its zero tolerance for CDC Triffid flax on any scientific risk assessment, the EU is in violation of the SPS Agreement. Moreover, the EU has ignored the available scientific information regarding CDC Triffid flax. The EU did not consider the possibility of following the guidelines given by Codex Alimentarius Commission in the case of CDC Triffid flax. There are non-scientific reasons behind the EUs zero tolerance on CDC Triffid flax and they overweigh the available scientific information. The EU position would be unlikely to be supported if a complaint was brought to the World Trade Organisation Disputes Panel.
A partial equilibrium model was used to provide a theoretical background to examine the changes in the flaxseed industry and the linseed oil industry due to the CDC Triffid event. A model of the supply chain of Canadian flaxseed was developed to illustrate the operationalisation of the Protocol developed by the EU and Canada to address the zero tolerance policy. Empirical estimation suggests that the operationalisation of the Protocol incurred additional cost of $7.5 million to the flax seed industry of Canada in 2009/ 2010. Out of that, cost of testing was approximately $1.2 million and cost of segregation was $4.2 million.
Estimation of changes in revenue suggests that there was a loss of revenue in flaxseed trade between the EU and Canada in 2009/2010. Imports of Canadian flax by China provided an alternative market, at a considerably lower price than typically realised from the EU market. Interestingly, the EUs zero tolerance policy on CDC Triffid flax has resulted in a larger additional cost on the EU than Canada.
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The European Union policy of zero tolerance : insights from the discovery of CDC TriffidDayananda, Buwani 11 July 2011 (has links)
Flax is one of the major cash crops in Canada. Approximately seventy percent of Canadian flaxseed was exported to European Union (EU) annually until 2009. In 2009, the EU imposed an import ban on Canadian flaxseed due to the adventitious presence of a GM flax variety - CDC Triffid was identified in Canadian flaxseed exported to the EU. The EUs decision to apply zero tolerance on CDC Triffid flax has been based on its interpretation of the precautionary principle. According to the World Trade Organisations Agreement on the Application of Sanitary and Phytosanitary Measures (SPS), however, precautionary measures are subject to a scientific risk assessment. As the EU did not base its zero tolerance for CDC Triffid flax on any scientific risk assessment, the EU is in violation of the SPS Agreement. Moreover, the EU has ignored the available scientific information regarding CDC Triffid flax. The EU did not consider the possibility of following the guidelines given by Codex Alimentarius Commission in the case of CDC Triffid flax. There are non-scientific reasons behind the EUs zero tolerance on CDC Triffid flax and they overweigh the available scientific information. The EU position would be unlikely to be supported if a complaint was brought to the World Trade Organisation Disputes Panel.
A partial equilibrium model was used to provide a theoretical background to examine the changes in the flaxseed industry and the linseed oil industry due to the CDC Triffid event. A model of the supply chain of Canadian flaxseed was developed to illustrate the operationalisation of the Protocol developed by the EU and Canada to address the zero tolerance policy. Empirical estimation suggests that the operationalisation of the Protocol incurred additional cost of $7.5 million to the flax seed industry of Canada in 2009/ 2010. Out of that, cost of testing was approximately $1.2 million and cost of segregation was $4.2 million.
Estimation of changes in revenue suggests that there was a loss of revenue in flaxseed trade between the EU and Canada in 2009/2010. Imports of Canadian flax by China provided an alternative market, at a considerably lower price than typically realised from the EU market. Interestingly, the EUs zero tolerance policy on CDC Triffid flax has resulted in a larger additional cost on the EU than Canada.
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Modélisation de l’impact des systèmes de culture sur la pollinisation croisée chez le maïs dans le cadre de l’établissement de règles de coexistence / Modelling impacts of cropping systems on maize cross pollination in agricultural landscapes : a tool for the design of coexistence rulesAngevin, Frédérique 06 November 2012 (has links)
La perspective de la culture de variétés transgéniques pose, pour de multiples raisons, le problème de la ségrégation de filières de production basées sur la même espèce dans les paysages agricoles : demande d'une filière « sans OGM » ; coexistence de productions alimentaires et non alimentaires… La réglementation européenne fixe un seuil de présence fortuite d'OGM au-delà duquel un produit, même issu d'une variété non-OGM, doit être étiqueté comme contenant des OGM. La Commission européenne a émis des recommandations sur l'adoption de pratiques favorisant la coexistence entre cultures OGM et non-OGM de façon à ce que les agriculteurs puissent garder la liberté de choisir le mode de production qu'ils souhaitent. Dans ce contexte, il est important de pouvoir estimer a priori le taux d'impuretés OGM dans les récoltes de parcelles non-OGM, en fonction de leur organisation spatiale et du climat, mais aussi de comprendre et prédire l'effet de modifications de pratiques agricoles sur ce taux. L'expérimentation peut apporter des éléments de connaissances des phénomènes, la modélisation s'avère cependant plus pertinente pour répondre aux demandes d'aide à la décision (principalement publique) pour des situations agricoles et climatiques diversifiées. L'objectif de la thèse est donc de dégager un cadre méthodologique générique pour le développement de modèles de flux biologiques combinant de façon dynamique modélisation, évaluation et expérimentation. Le travail de thèse a consisté en la conception et l'évaluation du modèle MAPOD qui simule les flux de gènes chez le maïs à l'échelle du paysage. Ce modèle est basé sur une fonction de dispersion individuelle qui dépend de paramètres biologiques et climatiques et qui calcule une probabilité de fécondation en un point (x, y) en fonction de la distance à la source émettrice de pollen (pollinisation efficace). Il comporte un module de dynamique de floraison qui rend compte des conséquences des synchronismes ou asynchronismes de floraison entre champs sur les taux d'OGM dans les récoltes. Le modèle permet de déterminer l'effet de la distribution spatiale des parcelles de maïs, des caractéristiques variétales, du climat et des itinéraires techniques sur les taux de pollinisation croisée. MAPOD a été mis au point à partir de données de la littérature et d'expérimentations menées par le GEVES. Cette première version a été évaluée grâce à un second jeu de données provenant du GEVES. Elle a aussi fait l'objet d'une analyse de sensibilité. Les résultats obtenus ont permis de définir les pistes d'amélioration de l'algorithme. La qualité prédictive de MAPOD a ensuite été estimée grâce à des données issues de suivis effectués pendant 5 ans dans des parcelles d'agriculteurs en Catalogne, région où le maïs Bt est cultivé à grande échelle. La pertinence des décisions prises grâce aux sorties du modèle a aussi été caractérisée. MAPOD a été utilisé pour simuler différents scénarios d'introduction de variétés OGM dans les systèmes de culture européens. L'efficacité de mesures individuelles de coexistence a été testée. Ensuite, c'est l'effet de combinaison de pratiques qui a été simulé, aboutissant à l'établissement de tables de décision en fonction du contexte de culture. À l'échelle du bassin de collecte, l'efficience des stratégies de ségrégation (spatiale, temporelle) pouvant être mises en place par les organismes de collecte-stockage a aussi été étudiée grâce au modèle. Enfin, les sorties de MAPOD ont servi comme support pour la mise au point d'un outil d'aide à la décision à destination des agriculteurs et de leurs conseillers. / Consumer demand for food free of GMOs is growing and if production standards are to be met, food and non-food chains must be separated. Indeed, European Commission regulations 1829/2003 and 1830/2003 stipulate that food and feed thought to be GMO-free but found to be containing more than a 0.9% portion of an adventitious presence of authorized GMOs have to be distinguished, traced and labelled as such. Moreover, to ensure that producers have a choice a choice among differing types of production, the European Commission has issued recommendations that permit the coexistence of non-GM and GM crops. This poses the problem of how to deal with coexistence in an agricultural supply chain dedicated to handling a single crop species. To help in the elaboration of coexistence rules, and then assess their feasibility and their consequences as well as for setting up monitoring and control schemes, specific field experiments, even if necessary, are not sufficient as their predictive value remains restricted to a given context. It is necessary to be able to forecast the fate of GM crops at the landscape level taking into account the various cropping systems and agricultural practices that may occur across Europe. The key to forecasting spread and behaviour of GM plants and seeds as well as their impacts under a wide range of agro-ecosystems is modelling. Models reproduce the functioning of agro-systems and take into account the relevant factors and processes as well as their interactions. They thus make it possible to simulate the behaviour of agro-systems in non-observed situations and on a long term basis.This doctoral thesis establishes a methodological framework for the development of biological flow models thanks to the dynamic interactions of modelling, evaluation and experimentation. In a first phase, the work involved the design of the MAPOD® model developed in relationship to literature and varietal experiments carried out by GEVES. MAPOD® simulates gene flow between maize crops at the landscape scale. It is based on an individual dispersal function which depends on biological and climatic parameters. It calculates the probability of fecundation at a (x, y) point as a function of distance from the pollen emitter (efficient pollination). Its flowering dynamics module makes it possible to take into account of the consequences of flowering time - lags on GM adventitious presence in harvests. MAPOD® evaluates the effect of the spatial distribution of maize plots, varietal characteristics, and climate as well as agricultural practices on cross-pollination. In this investigation, in a second phase the initial version of MAPOD® was evaluated with another dataset provided by GEVES. Ways to improve the algorithm were thereby defined. In a third phase, the predictive quality of MAPOD® was estimated by comparing model outputs to cross-pollination rates which were obtained by monitoring farmers' fields in Catalonia (Spain) over a 5-year period. The relevance of decisions made according to model output was also evaluated.In a fourth phase, MAPOD® was used to simulate different scenarios involving the introduction of GM varieties into European cropping systems. The efficiency of individual coexistence measures was tested. Afterwards, the effect of combining different types of practices was simulated, leading to a set of decision-support tables elaborated according to the cropping context. At the scale of the collecting basin, with the enhanced version of MAPOD®, the efficiency of segregation strategies (spatial or temporal) that could be implemented by collecting and storing organisations was also studied. Lastly, model outputs were used as a basis for the design of a decision-support tool for use by farmers and extension workers.
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