EMR EEIG members

  • Eliance Chairman

    Eliance

    Maison Nationale des Eleveurs
    149 rue de Bercy
    75595 Paris
    FRANCE

    Christophe LECOMTE

  • Elevéo Vice chairman
    Association Wallonne de l’Elevage asbl
    Rue des Champs Elysées 4
    5590 Ciney
    BELGIUM
    Carlo BERTOZZI
  • LKV-BW Vice-chairman

    Landesverband Baden-Württemberg für Leistungsprüfungen in der Tierzucht e. V.
    Heinrich-Baumann-Strasse 1-3
    70190 Stuttgart
    GERMANY

    Jürgen BIEGER & Andreas WERNER

  • LKV-NRW

    Landeskontrollverband Nordrhein-Westfalen e. V.
    Bischofstraße 85
    47809 Krefeld
    GERMANY

    Peter HÖCKELS

  • ICBF

    Irish Cattle Breeding Federation Society Limited
    Highfield House, Shinagh
    Bandon, Co. Cork
    IRELAND

    Mike LYNCH

  • NMR

    National Milk Records
    Fox Talbot House, Greenways Business Park, Bellinger Close
    SN15 1BN
    Chippenham
    UNITED KINGDOM

    Ben BARTLLET

  • LKV Austria

    LKV Austria – Qualitätsmanagement GmbH
    Dresdnerstraße 89/19
    1200 Wien
    AUSTRIA

    Franz Josef AUER

  • CARA

    Chambre d’Agriculture Région Alsace
    2 rue de Rome – Espace européen de l’Entreprise
    30022 Schiltigheim
    FRANCE

    Philippe CAUSSANEL

  • CEL25-90

    Conseil Elevage du Doubs et du territoire de Belfort
    6 rue des Epicéas
    25640 Roulans
    FRANCE

    Nicolas GAUDILLIERE

  • CONVIS

    Zone artisanale et commerciale, 4
    9084 Ettelbruck
    LUXEMBOURG

    Romain REDING

  • SEENOVIA

    141 boulevard des Loges
    CS 84215
    53940 Saint-Berthevin Cedex
    FRANCE

    Jean-Bernard DAVIERE

  • Seenorest

    Technopôle Agricole et Vétérinaire
    BP 20007
    54220 MALZEVILLE
    FRANCE

    Corine PORTEMONT

  • LKV-SH

    Landeskontrollverband Schleswig-Holstein e.V.
    Steenbeker Weg 151
    24106 Kiel
    GERMANY

    Jörg PIEPENBURG

EMR EEIG clients

EMR EEIG Scientific committee

A scientific committee is established within the grouping, composed of experts appointed and removed by the EMR members acting collectively.
Its role is advisory: scientific institutions in the committee have not the quality of member nor decision power.

  • To strengthen the collaboration initiated through OptiMIR between research and field organizations.
  • To provide the grouping’s members with scientific knowledge, state-of-the-arts, and R&D abilities.
  • To support transnational collaboration between research teams from different bodies.
  • CRA-W

    Centre wallon de Recherches agronomiques
    Chaussée de Namur 146
    5030 Gembloux
    BELGIUM

    Frédéric DEHARENG
    Clément GRELET

  • ULg – GxABT

    Université de Liège Gembloux Agro-Bio Tech
    Passage des Déportés 8
    5030 Gembloux
    BELGIUM

    Nicolas GENGLER

  • IDELE

    Institut de l’Elevage
    Maison Nationale des Eleveurs
    149 rue de Bercy
    75595 PARIS CEDEX 12
    FRANCE

    Marine GELÉ
    Marie-Pierre JACQUEROUD

  • ZUCHTDATA
    ZUCHTDATA

    ZuchtData EDV-Dienstleistungen GmbH
    Dresdner Straße 89/19
    1200 Wien
    AUSTRIA

    Christa EGGER-DANNER

  • BOKU

    Universität für Bodenkultur Wien
    Gregor-Mendel-Straße 33
    1180 Wien
    AUSTRIA

    Johann SÖLKNER

  • Universität Bonn – ITW

    Universität Bonn, Institut für Tierwissenschaften
    Katzenburgweg 7-9
    53115 Bonn
    GERMANY

    Ute MÜLLER

  • TEAGASC

    Teagasc, Agriculture and Food Development Authority
    Oak Park, Carlow
    IRELAND

    Donagh BERRY

  • SRUC

    Scotland’s Rural College
    Roslin Institute Building
    Easter Bush, Midlothian, EH25 9RG
    UNITED KINGDOM

    Eileen WALL
    Mike COFFEY

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STANDARDISATION OF MIR SPECTROMETERS ACROSS OPTIMIR NETWORK

 

The triple objective is to obtain similar spectra overtime, across models of machine, and across brands of machine. The network is comprised with around 65 MIR spectrometers in 25 milk laboratories.

We’ve proven that the standardisation of machines is mandatory :

The OptiMIR network involves Milk Recording Organisations and Research Partners. It’s an innovative framework for the development of dairy farm management tools based on MIR technology.

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OPTIMIR MODELS AND EQUATIONS

 

Available predictive equations (2015) :

  • Milk concentrations of Ca, P, Na, K, Mg
  • Milk concentrations of Fatty Acids (e.g. C10, C12, C14, C18:1cis9…)
  • Milk concentrations of BHB, Acetone and Citrate
  • Methane emissions
  • Warning indicator of sub-clinical ketosis based on milk BHB and Acetone

Predictive equation in progress and expected soon :

  • Warning indicator of energy deficit based on milk BHB, Acetone, Citrate, C10, C12, C14 and C18:1cisC9
  • Warning indicator of sub-clinical ketosis based on spectral variations
  • Warning indicator of disturbed energy balance based on spectral variations

Predictive equation in progress and expected in longer term :

  • Pregnancy monitoring tool based on spectral variations
  • Warning indicator of sub-clinical acidosis based on spectral variations
  • Warning indicator of disturbed energy balance based on spectral variations
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