Full spectral approach fostering the development of new innovative concepts

Transcription

1 Full spectral approach fostering the development of new innovative concepts Gavin Scott, Silvia Orlandini & Frédéric Dehareng Version 1. ICR Puerto Varas, Chile 216

2 Introduction 1961 Dr Goulden Developed the first MIR instrument called IRM. Patented in Fig. 1 Photograph of infra red milk analyzer fitted with digital voltmeter output

3 Principle Reference MIR Filter apparatus Infrared Source Detector Data output Monochromator Milk sample Homogenizer

4 Principle MIR Filter apparatus Lactose Fat B Protein Fat

5 Principle Polychromatic Radiation Source Interferometer (Michelson) Stationary mirror FT-MIR apparatus MIR Spectra Moving mirror Sample COMPUTER Detector

6 Interest of a full spectral approach? 1. New parameters 2. Creation of common or global models 3. Spectral standardization 4. Creation of spectral database 5. Future?

7 1. New parameters : some examples Milk component Fat, Protein, Lactose, SNF Milk MIR spectra Casein Hewavitharana,. K., and B. van Brakel nalyst 122: Phenotype Body Energy status Mc Parland et al. 211 J. Dairy Sci. 94: Methane Dehareng et al. 212 nimal. 6 : Urea Hansen, P. W Milchwissenschaft 53: Fatty acids Soyeurt et al. 26 J. Dairy Sci. 89: Milk Indirect Blood component Lactoferrin Soyeurt et al. 27 J. Dairy Sci. 9: Blood BHB and NEF M. Gelé et al. 215, ICR Major minerals Soyeurt et al. 29 J. Dairy Sci. 92: Coagulation, titrable acidity, ph De Marchi et al. 29 J. Dairy Sci. 92: cetone, β-hydroxybutyrate, and citrate Grelet et al. 216 J. Dairy Sci. 99 :

8 Reference method 1. New parameters Need the full range covered to ensure Robust calibrations IR predicted

9 2. Creation of common / global models To cover the all variability (feeding system, breeds, seasons, etc.) Increase the robustness of the equation To decrease the cost of reference analysis To use on different apparatus from the same manufacturer To use on different apparatus from different manufacturers Common procedure for spectral Standardization

10 2. Creation of common / global models Example : common model for predictions of individual methane emissions (g/d) Constituent N Mean SD R²c R²cv SEC SECV CH

11 3. Spectral Standardization Spectral Standardisation instruments

12 3. Spectral Standardization Spectral Standardisation instruments Spectral standardization

13 Scores on PC 5 (.%) 3. Spectral Standardization Impact of standardisation Harmonize the spectral format llow merging of data Creation of common models Samples/Scores Plot of X212 MSTER NON S TD STD MSTER Models can be used on all instruments Scores on PC 4 (.1%)

14 4. Creation of spectral database

15 4. Creation of spectral database New equation e.g. Methane equation

16 5. Future? lot of new opportunities Examples New management tools

17 5. Future? Example of management tool developed by WE (BE) Walloon breeding association (WE) tool using models developed in Optimir project Global Ketosis index tool: Combination of BHB, acetone predictions and fat/protein ratio Relative approach for each biomarker: Cow value compared to population values at same DIM Score,1 or 2 for each component Score Score 1 DIM DIM Score

18 5. Future? Example of management tool developed by WE (BE) Global score from to 6 as a global indication for ketosis status Healthy cows Subclinical ketosis risk Clinical ketosis risk Currently in test in 75 farms Good feedback from cattle breeders

19 5. Future? Example of management tool developed by CLSEL (FR)

20 5. Future? lot of new opportunities Examples New management tools New tools for genetic evaluation/genomic New tools for milk adulteration But! International collaboration needed Spectral Standardization

21 Thank you Clément Grelet, mélie Vanlierde and Pierre Dardenne from CR-W, Belgium Hélène Soyeurt and Nicolas Gengler from GxBT, Université de Liège, Belgium European Milk Recodring (EMR)