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Modélisation de l'atelier d'engraissement porcin pour prédire ses résultats économiques et ses impacts environnementaux

Abstract : European pig production is facing economic and environmental challenges. Decision support tools can help farmers testing the effects of rearing factors on their production system. For this purpose, we developed an individual-based model of the pig fattening unit which includes farmers’ practices, individual variability in performance among pigs and, and estimates economic results (ECO) and environmental impacts (ENV) of the unit. Global sensitivity analysis has shown that the model behavior is consistent and that the most influent input variables are related to the pigs’ characteristics. Formal comparison of predicted with observed data has enabled us to produce a process for parameterisation of the model and has shown that the model provides reliable estimates of ECO and ENV.A virtual experiment using the model was designed in order to evaluate the combined effects of feeding practices, health status of the pig herd, and infrastructure on technical performance, ECO and ENV of the unit. Health status has the major impact on unit performance but this effect can be reduced through batch management and feeding strategies. Approaching more closely the individual pigs’ nutritional requirements seems to be an appropriate solution to increase farm income and to reduce environmental impacts regardless the health status. The model will be included into a decision support tool designed according to the influent inputs resulting from the sensitivity analysis and the parameterisation process
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Submitted on : Tuesday, October 2, 2018 - 2:32:29 PM
Last modification on : Monday, July 6, 2020 - 3:38:58 PM
Long-term archiving on: : Thursday, January 3, 2019 - 2:58:11 PM


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  • HAL Id : tel-01885955, version 1



Alice Cadéro. Modélisation de l'atelier d'engraissement porcin pour prédire ses résultats économiques et ses impacts environnementaux. Sciences agricoles. Agrocampus Ouest, 2017. Français. ⟨NNT : 2017NSARB303⟩. ⟨tel-01885955⟩



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