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Master Thesis

Prévoir les régulations naturelles des pucerons par les auxiliaires en grandes cultures : collectes et analyses de données en vue de l’amélioration d’un outil d’évaluation multicritère DEXi

Abstract : In France, most of the territory occupied by agriculture belongs to arable crops, of which cereals represent the main production with more than 9 million hectares. Aphids are harmful pests in these crops causing direct and indirect damage and significant economic losses. Among alternative insecticide control methods for aphids, "natural regulation or conservational biological control" tends to stimulate the habitats where beneficial organisms are present in order to maintain them in agricultural plots. Farmers would need decision support tools to facilitate the implementation of measures that support these beneficial organisms. In this context, the goal of my internship is to characterize the aphid control service by their natural enemies, as well as to improve the existing DEXi multicriteria assessment tools. Thanks to the monitoring carried out by three different methods (visual observation, aspiration and yellow bowls) in the Rhône-Alpes region, it has been seen that the population dynamic of aphids follows similar trends in the different plots observed. Statistical approaches such as PCA and GLM highlight a spatial-temporal concordance between the presence of natural enemies and aphids. Nevertheless, the effect of other factors like climatic conditions, the state of the crop and the environment close to the plot are also important to take into account in this regulation and are still poorly defined. Further studies on these variables, as well as the auxiliary / pest ratio, would provide a better understanding of this natural regulation process.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-02962273
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Submitted on : Monday, November 9, 2020 - 9:36:23 AM
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Pilar Otero Sancho. Prévoir les régulations naturelles des pucerons par les auxiliaires en grandes cultures : collectes et analyses de données en vue de l’amélioration d’un outil d’évaluation multicritère DEXi. Sciences du Vivant [q-bio]. 2018. ⟨dumas-02962273⟩

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