SYNERGY: A model to assess the economic and environmental impacts of increasing regional protein self-sufficiency

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SYNERGY: A model to assess the economic and environmental impacts of increasing regional protein

self-suﬀiciency

Julia Jouan, Aude Ridier, Matthieu Carof

To cite this version:

Julia Jouan, Aude Ridier, Matthieu Carof. SYNERGY: A model to assess the economic and envi-

ronmental impacts of increasing regional protein self-suﬀiciency. 20. Nitrogen workshop: coupling

C-N-P-S cycles, Jun 2018, Rennes, France. �hal-01939967�

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SYNERGY: A model to assess the economic and environmental impacts of increasing regional protein self-sufficiency

J. JOUAN¹, A. RIDIER¹, M. CAROF²

1SMART-LERECO, AGROCAMPUS OUEST, INRA,35000 Rennes, France

2SAS, AGROCAMPUS OUEST, INRA, 35000 Rennes, France julia.jouan@agrocampus-ouest.fr

THIS PROJECT IS CO-FINANCED BY THE EUROPEAN AGRICULTURAL FUND FOR RURAL DEVELOPMENT: EUROPE INVESTING IN RURAL AREAS

TERUnic Project

« Territory Economical, the Right Understanding »

Introduction

The European Union relies on imports to feed livestock

the 2014 CAP aims at improving protein self-sufficiency for feed by developing the production of legumes

Objective

To implement a bio-economic model assessing environmental and economic impacts of increased protein self-sufficiency through legume development

Main hypothesis

Complementarity among farms represents a lever to increase protein self-sufficiency at regional level through local exchanges Local exchanges of organic fertilisers and crops between farms

Data

Different types of data are used to build the model:

Public statistics (2013-2017); Technical Institutes (IDELE, IFIP); Extension services in Brittany; COMIFER

z

Cash crops

Concentrate feeds Mineral fertiliser

Animals and milk

Mineral fertiliser

Cash crops

Region Local exchanges of organic

fertilisers

Rest of the world Upscaling Livestock

Farm Local exchanges of crops Upscaling

z Crop Farm

Environmental module SyNB SyNE

Method : the bio-economic model SYNERGY Distinctive features

• Optimization model (maximizing regional income)

• Different types of farms : dairy, hog and crop farms

• Exchanges of crops and organic fertilisers

• 3 types of outputs at farm and regional levels:

oAssessment of protein self-sufficiency in feed oEconomic assessment

oEnvironmental assessment

• 3 scenarios oBaseline (B)

oWith local exchanges (SC1)

oWith local exchanges and certification on GMO- free products (SC2)

• N-related indicators based on (Godinot et al., 2014) o SyNE (System N Efficiency)

o SyNB (System N Balance)

Preliminary Results

Stylized representation of the outlets of crops (in tons) in farms simulated by SYNERGY in the scenario SC2 in a region of Western France (Côtes d’Armor). Exchanges between livestocks farms are not represented

Legend

C: Crop farm; D : Dairy farm; H : Hog farm

Part of crops bought (for livestock farms) or sold (for crop farms) on worldwide markets

Part of crops bought (for livestock farms) or sold (for crop farms) on local markets

Part of crops kept in livestock farms Local exchanges of organic fertilisers between livestock farms and crop farms

In scenario SC1 and SC2, protein self-sufficiency rises by 4% at the regional level thanks to :

• a rise of local exchanges of cereals (which also contain proteins) in SC1

• A rise of legume production through the non-GMO label in SC2 SyNE = 0,39

SyNE = 0,26 SyNE = 0,35

Godinot O, Carof M, Vertès F, Leterme P. SyNE: An improved indicator to assess nitrogen efficiency of farming systems. Agricultural Systems 2014;127:41–52.

doi:10.1016/j.agsy.2014.01.003.