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Master Thesis

Qualitative modelling of perennial weed management Elytrigia repens, Cirsium arvense and Sonchus arvensis

Abstract : In a context of recall of glyphosate and questioning about the intensive use of ploughing, tools are needed to offer an alternative for perennial weed control. Perennial weeds are a major problem in production fields, organic or conventional farming. To control them, a System approach is required. This is the aim of the work package Modelling of the European project AC/DC-weeds. Multi-attribute qualitative modelling, performed thanks to IPSIM (Injury Profile SIMulator), enables the evaluation of weed infestation for three perennial weeds: Cirsium arvense, Sonchus arvensis and Elytrigia repens. The models consider the effect of weather, soil and cropping practices, and their interaction on weed infestation. The three models expressed different alternative methods to tackle the reliance on herbicide in perennial weed control. Users of the models have the possibility to build more sustainable agroecosystem less reliant on herbicide and deep ploughing. These models can also be used as an educational tools to teach alternative control methods of perennial weeds.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-02972029
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Submitted on : Tuesday, October 20, 2020 - 9:01:56 AM
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  • HAL Id : dumas-02972029, version 1

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Octave Lacroix. Qualitative modelling of perennial weed management Elytrigia repens, Cirsium arvense and Sonchus arvensis. Life Sciences [q-bio]. 2020. ⟨dumas-02972029⟩

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