JOIN US IN BLED – MAY 19-24
EMR will be present at the 46th ICAR-International Committee for
17 mai 2024
European Milk Recording (EMR) is a European Economic Interest Group (EEIG) created in 2015, following the Interreg NWE project OptiMIR.
During this project, the partners wanted to share spectral data to produce common FT-MIR prediction models, but faced the problem that these spectral data were not harmonized between partners. Indeed, the spectral data came from different laboratories, which used different brands of spectrometers and different analysis models. Data sharing was therefore not possible as such, without considering a first step of standardisation of the spectral data.
The Walloon Agricultural Research Centre (CRA-W) developed a method of standardisation thanks to the expertise of Clément Grelet and other scientific collaborators. At the end of the OptiMIR project, the partners decided to create the EMR group to spread this new standardisation solution amongst members and beyond.
Originally, the standardisation service was only available for our members, we then started to have new clients, and finally, in 2019, we launched our prediction webservice. This method now allows anyone to access high quality spectral predictions for management or breeding purposes.
When we started in 2015, the EMR group counted 11 members. In 2016, LKV Austria joined us and in 2019, LKV SH became a member. We are of course always open to new collaborations and any milk recording organisation that would like to join us is welcome to do so.
Thanks to our standardisation method, a huge transnational database could be created and is being used to develop new tools to improve the management of farms.
EMR will be present at the 46th ICAR-International Committee for
Our server will be under maintenance of January 15th. We
The methane and minerals equations on EMR webservice have been
Standardisation of mid-infrared (MIR) spectral data from any milk lab and from any brand of FT-MIR spectrometer. This service is available for members and external clients.
New indicators to improve management and decision-making.
Data from dairy cows from different countries, including MIR spectra.
Close collaboration between members to ensure quality.
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Prediction of key milk biomarkers in dairy cows through milk MIR spectra and international collaborations, Journal of Dairy Science, In press
Multiple Breeds and Countries’ Predictions of Mineral Contents in Milk, from Milk Mid-Infrared Spectrometry. Foods 2021, Volume 10, Issue 9, 2235
Improving robustness and accuracy of predicted daily methane emissions of dairy cows using milk mid?infrared spectra. Journal of the Science of Food and Agriculture, 101(8), 3394-3403.
Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions. Methods, 186:97-111
Short Communication: Development Of An Equation For Estimating Methane Emissions Of Dairy Cows From Milk Fourier Transform Mid-Infrared Spectra By Using Reference Data Obtained Exclusively From Respiration Chambers.
Potential Of Milk Mid-IR Spectra To Predict Metabolic Status Of Cows Through Blood Components And An Innovative Clustering Approach.
Standardization Of Milk Mid-Infrared Spectrometers For The Transfer And Use Of Multiple Models.
Development Of Fourier Transform Mid-Infrared Calibrations To Predict Acetone, Β-Hydroxybutyrate, And Citrate Contents In Bovine Milk Through A European Dairy Network.
Milk Mid-Infrared Spectra Enable Prediction Of Lactation-Stage-Dependent Methane Emissions Of Dairy Cattle Within Routine Population-Scale Milk Recording Schemes.
Capitalizing On Fine Milk Composition For Breeding And Management Of Dairy Cows.
Standardization Of Milk Mid-Infrared Spectra From A European Dairy Network.
Innovative Lactation-Stage-Dependent Prediction Of Methane Emissions From Milk Mid-Infrared Spectra.
