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Master Thesis

Identification de profils de pratiques en élevages porcins

Abstract : The performances of a pig farm are commonly measured with several indicators like the age at 115 kg, the global feed conversion rate and the number of piglets produced per present sows per year (PWSY). However, most of them don’t take into account the entire chain datas. Cooperl has an enough huge presence in the entire pork industry to collect informations throughout the pork life cycle ranging from the piglet birth at farm to slaughter by way of the alimentation, the herd’s technico-economic management, the purchase of veterinary products, the purchase of small equipments, the reproduction type in farm, the type of installations in farm as well as controls carried out at slaughter. All these datas represent a mine of new information in this sector. This is why we are interested in this dataset to give a more complete view of the performance of the farms than what already exists today. The main objective of this is to identify farm practice profiles. This work is done in two main phases : analysis of the possible links between the base variables using descriptive statistics and the identification of farm practice profiles using Multiple Factor Analysis (MFA) and Hierarchical Clustering on Principal Components (HCPC).
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Master Thesis
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Submitted on : Thursday, October 15, 2020 - 3:24:14 PM
Last modification on : Sunday, January 10, 2021 - 3:08:51 AM


2020_Le Manach_Solène_Data sc...
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  • HAL Id : dumas-02968251, version 1




Solène Le Manac'H. Identification de profils de pratiques en élevages porcins. Sciences du Vivant [q-bio]. 2020. ⟨dumas-02968251⟩



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