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OptiPhy, a technical-economic optimisation model for improving the management of plant protection practices in agriculture: a decision-support tool for controlling the toxicity risks related to pesticides.
Environ Sci Pollut Res Int. 2017 Mar; 24(8):6951-6972.ES

Abstract

The health, environmental and socio-economic issues related to the massive use of plant protection products are a concern for all the stakeholders involved in the agricultural sector. These stakeholders, including farmers and territorial actors, have expressed a need for decision-support tools for the management of diffuse pollution related to plant protection practices and their impacts. To meet the needs expressed by the public authorities and the territorial actors for such decision-support tools, we have developed a technical-economic model "OptiPhy" for risk mitigation based on indicators of pesticide toxicity risk to applicator health (IRSA) and to the environment (IRTE), under the constraint of suitable economic outcomes. This technical-economic optimisation model is based on linear programming techniques and offers various scenarios to help the different actors in choosing plant protection products, depending on their different levels of constraints and aspirations. The health and environmental risk indicators can be broken down into sub-indicators so that management can be tailored to the context. This model for technical-economic optimisation and management of plant protection practices can analyse scenarios for the reduction of pesticide-related risks by proposing combinations of substitution PPPs, according to criteria of efficiency, economic performance and vulnerability of the natural environment. The results of the scenarios obtained on real ITKs in different cropping systems show that it is possible to reduce the PPP pressure (TFI) and reduce toxicity risks to applicator health (IRSA) and to the environment (IRTE) by up to approximately 50 %.

Authors+Show Affiliations

CIHEAM-IAMM: Mediterranean Agronomic Institute of Montpellier, 3191 Route de Mende, 34093, Montpellier, Cedex 5, France. oussama.mghirbi@gmail.com. University of Paul Valéry Montpellier 3 (UPVM), Route de Mende, 34199, Montpellier, Cedex 5, France. oussama.mghirbi@gmail.com. UMR GRED Gouvernance, Risque, Environnement, Développement (UPVM/IRD), Institute of Research for Development (IRD) of Montpellier-UMR GRED, BP 64501, 34394, Montpellier, Cedex 5, France. oussama.mghirbi@gmail.com.CIHEAM-IAMM: Mediterranean Agronomic Institute of Montpellier, 3191 Route de Mende, 34093, Montpellier, Cedex 5, France. UMR GRED Gouvernance, Risque, Environnement, Développement (UPVM/IRD), Institute of Research for Development (IRD) of Montpellier-UMR GRED, BP 64501, 34394, Montpellier, Cedex 5, France.DIATAE, 3191 Route de Mende, 34093, Montpellier, Cedex 5, France.CIHEAM-IAMM: Mediterranean Agronomic Institute of Montpellier, 3191 Route de Mende, 34093, Montpellier, Cedex 5, France.University of Paul Valéry Montpellier 3 (UPVM), Route de Mende, 34199, Montpellier, Cedex 5, France. UMR GRED Gouvernance, Risque, Environnement, Développement (UPVM/IRD), Institute of Research for Development (IRD) of Montpellier-UMR GRED, BP 64501, 34394, Montpellier, Cedex 5, France.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

27164887

Citation

Mghirbi, Oussama, et al. "OptiPhy, a Technical-economic Optimisation Model for Improving the Management of Plant Protection Practices in Agriculture: a Decision-support Tool for Controlling the Toxicity Risks Related to Pesticides." Environmental Science and Pollution Research International, vol. 24, no. 8, 2017, pp. 6951-6972.
Mghirbi O, LE Grusse P, Fabre J, et al. OptiPhy, a technical-economic optimisation model for improving the management of plant protection practices in agriculture: a decision-support tool for controlling the toxicity risks related to pesticides. Environ Sci Pollut Res Int. 2017;24(8):6951-6972.
Mghirbi, O., LE Grusse, P., Fabre, J., Mandart, E., & Bord, J. P. (2017). OptiPhy, a technical-economic optimisation model for improving the management of plant protection practices in agriculture: a decision-support tool for controlling the toxicity risks related to pesticides. Environmental Science and Pollution Research International, 24(8), 6951-6972. https://doi.org/10.1007/s11356-016-6775-1
Mghirbi O, et al. OptiPhy, a Technical-economic Optimisation Model for Improving the Management of Plant Protection Practices in Agriculture: a Decision-support Tool for Controlling the Toxicity Risks Related to Pesticides. Environ Sci Pollut Res Int. 2017;24(8):6951-6972. PubMed PMID: 27164887.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - OptiPhy, a technical-economic optimisation model for improving the management of plant protection practices in agriculture: a decision-support tool for controlling the toxicity risks related to pesticides. AU - Mghirbi,Oussama, AU - LE Grusse,Philippe, AU - Fabre,Jacques, AU - Mandart,Elisabeth, AU - Bord,Jean-Paul, Y1 - 2016/05/10/ PY - 2015/11/30/received PY - 2016/04/26/accepted PY - 2016/5/12/pubmed PY - 2017/5/27/medline PY - 2016/5/12/entrez KW - Diffuse pollution KW - Indicators KW - Optimisation KW - Pesticides KW - Plant protection practices KW - Technical-economic model KW - Toxicity risk SP - 6951 EP - 6972 JF - Environmental science and pollution research international JO - Environ Sci Pollut Res Int VL - 24 IS - 8 N2 - The health, environmental and socio-economic issues related to the massive use of plant protection products are a concern for all the stakeholders involved in the agricultural sector. These stakeholders, including farmers and territorial actors, have expressed a need for decision-support tools for the management of diffuse pollution related to plant protection practices and their impacts. To meet the needs expressed by the public authorities and the territorial actors for such decision-support tools, we have developed a technical-economic model "OptiPhy" for risk mitigation based on indicators of pesticide toxicity risk to applicator health (IRSA) and to the environment (IRTE), under the constraint of suitable economic outcomes. This technical-economic optimisation model is based on linear programming techniques and offers various scenarios to help the different actors in choosing plant protection products, depending on their different levels of constraints and aspirations. The health and environmental risk indicators can be broken down into sub-indicators so that management can be tailored to the context. This model for technical-economic optimisation and management of plant protection practices can analyse scenarios for the reduction of pesticide-related risks by proposing combinations of substitution PPPs, according to criteria of efficiency, economic performance and vulnerability of the natural environment. The results of the scenarios obtained on real ITKs in different cropping systems show that it is possible to reduce the PPP pressure (TFI) and reduce toxicity risks to applicator health (IRSA) and to the environment (IRTE) by up to approximately 50 %. SN - 1614-7499 UR - https://www.unboundmedicine.com/medline/citation/27164887/OptiPhy_a_technical_economic_optimisation_model_for_improving_the_management_of_plant_protection_practices_in_agriculture:_a_decision_support_tool_for_controlling_the_toxicity_risks_related_to_pesticides_ L2 - https://dx.doi.org/10.1007/s11356-016-6775-1 DB - PRIME DP - Unbound Medicine ER -