Article (Scientific journals)
Standardization of milk mid-infrared spectrometers for the transfer and use of multiple models
Grelet, Clément; Pierna, J. A. Fernández; Dardenne, P. et al.
2017In Journal of Dairy Science, 100 (10), p. 7910 - 7921
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Keywords :
Fourier transform mid-infrared spectra; standardization; milk; model transfer
Abstract :
[en] An increasing number of models are being developed to provide information from milk Fourier transform mid-infrared (FT-MIR) spectra on fine milk composition, technological properties of milk, or even cows' physiological status. In this context, and to take advantage of these existing models, the purpose of this work was to evaluate whether a spectral standardization method can enable the use of multiple equations within a network of different FT-MIR spectrometers. The piecewise direct standardization method was used, matching “slave” instruments to a common reference, the “master.” The effect of standardization on network reproducibility was assessed on 66 instruments from 3 different brands by comparing the spectral variability of the slaves and the master with and without standardization. With standardization, the global Mahalanobis distance from the slave spectra to the master spectra was reduced on average from 2,655.9 to 14.3, representing a significant reduction of noninformative spectral variability. The transfer of models from instrument to instrument was tested using 3 FT-MIR models predicting (1) the quantity of daily methane emitted by dairy cows, (2) the concentration of polyunsaturated fatty acids in milk, and (3) the fresh cheese yield. The differences, in terms of root mean squared error, between master predictions and slave predictions were reduced after standardization on average from 103 to 17 g/d, from 0.0315 to 0.0045 g/100 mL of milk, and from 2.55 to 0.49 g of curd/100 g of milk, respectively. For all the models, standard deviations of predictions among all the instruments were also reduced by 5.11 times for methane, 5.01 times for polyunsaturated fatty acids, and 7.05 times for fresh cheese yield, showing an improvement of prediction reproducibility within the network. Regarding the results obtained, spectral standardization allows the transfer and use of multiple models on all instruments as well as the improvement of spectral and prediction reproducibility within the network. The method makes the models universal, thereby offering opportunities for data exchange and the creation and use of common robust models at an international level to provide more information to the dairy sector from direct analysis of milk.
Disciplines :
Animal production & animal husbandry
Author, co-author :
Grelet, Clément ;  Université de Liège - ULiège > Doct. sc. agro. & ingé. biol. (Paysage)
Pierna, J. A. Fernández
Dardenne, P.
Soyeurt, Hélène  ;  Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Modélisation et développement
Vanlierde, Amélie ;  Université de Liège - ULiège > Doct. sc. agro. & ingé. biol.
Colinet, Frédéric ;  Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Bastin, Catherine
Gengler, Nicolas  ;  Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Baeten, V.
Dehareng, Frédéric  ;  Walloon Agricultural Research Center
Language :
English
Title :
Standardization of milk mid-infrared spectrometers for the transfer and use of multiple models
Publication date :
2017
Journal title :
Journal of Dairy Science
ISSN :
0022-0302
eISSN :
1525-3198
Publisher :
American Dairy Science Association, Champaign, United States - Illinois
Volume :
100
Issue :
10
Pages :
7910 - 7921
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 04 October 2017

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