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Using of spectral global H distance improves the accuracy of milk MIR based predictions
Zhang, Lei; Li, Chong; Dehareng, Frédéric et al.
2019In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science
Peer reviewed
 

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Abstract :
[en] Milk MIR spectrometry predicts traits related to quality, health and environment. Standardizing MIR data enables to share prediction equations. The prediction accuracy depends partly on the calibration spectral variability. So, the calculation of spectral global H (GH) distance is of interest. The effect of GH on the accuracy of MIR predictions were studied using 198,394 milk samples collected from Chinese cows and analysed on 3 Bentley FTS machines. The content of fat, protein, monounsaturated fatty acid (MFA), unsaturated FA (UFA), saturated FA (SFA), polyunsaturated FA (PFA) predicted by manufacturer’s models were the reference values. Fat, protein, MFA, PFA, SFA and UFA averages were 3.97, 3.43, 0.86, 0.07, 2.62 and 0.93 g/dl of milk. Bentley MIR spectra were standardized to master MIR spectra according to the method developed by the European Milk Recording network. Then the studied traits were predicted on those spectra using published MIR equations. The averaged predicted content of fat, protein, MFA, PFA, SFA, and UFA were 3.99, 3.53, 1.15, 0.15, 2.64, 1.29 g/dl of milk. GH ranged from 0 to 475. Correlation values between predicted and reference contents ranged from 0.92 to 0.98, except for PFA (0.59). Root mean square errors (RMSE) were 0.19, 0.18, 0.32, 0.09, 0.21, and 0.39 g/dl for fat, protein, MFA, PFA, SFA, and UFA. Correlation values between the squared residuals and GH were positive (0.17-0.42). This suggests a positive effect of GH on the prediction accuracy. When a threshold of GH≤5 was applied, the data loss ranged from 3.83 to 9.27%. Correlation values between predicted and reference contents increased (0.94 to 0.98, 0.64 for PFA). RMSE decreased from 1.26 to 7.37%. Considering GH limits spectral extrapolation. To improve the accuracy, samples with GH>5 must be included in the calibration set to cover the spectral variability. Moreover, the spectral standardization must be performed on a regular basis in order to check the potential spectral deviation of an instrument. In this study, the standardization was performed once.
Disciplines :
Animal production & animal husbandry
Author, co-author :
Zhang, Lei ;  Université de Liège - ULiège > Terra
Li, Chong  ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech
Dehareng, Frédéric  ;  Walloon Agricultural Research Center
Grelet, Clément 
Colinet, Frédéric ;  Université de Liège - ULiège > Département GxABT > Ingénierie des productions animales et nutrition
Gengler, Nicolas  ;  Université de Liège - ULiège > Département GxABT > Ingénierie des productions animales et nutrition
Soyeurt, Hélène  ;  Université de Liège - ULiège > Département GxABT > Modélisation et développement
Language :
English
Title :
Using of spectral global H distance improves the accuracy of milk MIR based predictions
Publication date :
August 2019
Event name :
70th Annual Meeting of the European Federation of Animal Science
Event organizer :
EAAP - European Federation of Animal Science
Event place :
Ghent, Belgium
Event date :
26-30 August 2019
Audience :
International
Main work title :
Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science
Publisher :
Wageningen Academic Publishers, Wageningen, Netherlands
Edition :
Ghent 2019
ISBN/EAN :
978-90-8686-339-6
Collection name :
Nº. 25
Pages :
608
Peer reviewed :
Peer reviewed
Available on ORBi :
since 02 April 2020

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