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Master Thesis

Élevages de ruminants en agriculture biologique dans le Massif central : analyse de la cohérence des systèmes de production

Abstract : Coherent production systems are said to be performant and resilient that is why coherence is often view as a key to reach sustainable systems. However, coherence has never been clearly definite and no indicator is currently used to appreciate it. The main objective of the study is to analyze the coherence of organic breeding system in the region of Massif Central (France) in order to approach its determinants. A production system are consider as coherent if the combination between the farmer’s objectives and the structure of the exploitation allows the system to be viable in the long term. This notion is close to efficiency and that is why it is the indicator to we chose to estimate the coherence in our systems. Analyses have been used to study the link between efficiency and several variables of structure, organization or technique. We used for it the data provided by the « Bioreference » farms network which contains 71 farms. All these analysis have shown that efficient farms are those which are specialized with an important part of grass in the system, self-sufficient in forages and low input-based. Less efficient systems are structure with a diversified cropping activity. They use more inputs and are not self-sufficient, and they present high work productivity level. Coherence of these systems has been approach thanks to the confrontation between those results and qualitative variables as farmer’s objectives. Medium term analysis of could consolidate the results of this exploratory approach of coherence. To be done, it is necessary to create price indicator specific for organic products in order to analyze closely the variation of efficiency that can be due to volume or price effect.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-01635470
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Mélanie Gautier. Élevages de ruminants en agriculture biologique dans le Massif central : analyse de la cohérence des systèmes de production. Science des productions animales. 2017. ⟨dumas-01635470⟩

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