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OptiMIR: Use of MIR spectra to predict multiple cow status as advisory tools for dairy farms
Grelet, Clément; Gengler, Nicolas; Bastin, Catherine et al.
2016In Book of Abstracts of the 67th Annual Meeting of the European Federation of Animal Science
Peer reviewed
 

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Keywords :
methane; dairy cattle; infrared
Abstract :
[en] Considering the current increasing of herd size, there is a need for precise and rapid information on individual cow state. Mid infrared (MIR) technology is already used worldwide for milk analysis; it allows rapid and cost effective determination of milk composition. The objective of OptiMIR project was to optimize the use of MIR spectra in order to produce indications on cow status thereby providing advisory tools to dairy farmers. Hence phenotypes of interest were collected in several countries and linked to MIR spectra. Since the OptiMIR network comprised 65 MIR instruments in 6 countries, standardisation of MIR data was necessary, allowing the collation of spectral databases and the use by all milk recording organizations (MRO) of the models developed. Using chemometric tools (like PLS regression), predictive models were developed to provide indicators on fine milk composition, on milk biomarkers of physiological imbalance, and directly on status of the cows. Equations predicting fine milk composition such as fatty acids and minerals were consolidated through the OptiMIR network, providing indirectly information on technological properties of milk and cow status. As biomarker of early physiological imbalance, an equation predicting citrate in milk was developed with good accuracy (R²cv=0.86); and as milk biomarkers of ketosis, BHB and acetone were calibrated with fair results (R²cv=0.63 and 0.67 respectively). Direct classification of spectra regarding low vs high risk of ketosis was also performed (84.5% sensitivity and 84.2% specificity). Direct regressions were realized for various negative energy balance criteria (r from 0.43 to 0.57) and enteric methane (R²cv=0.7). All equations are available to be used by MRO on field and converted into advisory tools for the dairy sector.
Disciplines :
Agriculture & agronomy
Animal production & animal husbandry
Author, co-author :
Grelet, Clément ;  Université de Liège - ULiège > Doct. sc. agro. & ingé. biol. (Paysage)
Gengler, Nicolas  ;  Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Bastin, Catherine
Vanlierde, Amélie ;  Université de Liège - ULiège > Doct. sc. agro. & ingé. biol.
Smith, Stephanie
Gelé, Marine
Soyeurt, Hélène  ;  Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Modélisation et développement
Massart, Xavier
Dardenne, Pierre
Dehareng, Frédéric  
Language :
English
Title :
OptiMIR: Use of MIR spectra to predict multiple cow status as advisory tools for dairy farms
Publication date :
August 2016
Event name :
67th Annual Meeting of the European Federation of Animal Science
Event organizer :
EAAP - European Federation of Animal Science
Event place :
Belfast, United Kingdom
Event date :
29 August - 2 September 2016
Audience :
International
Main work title :
Book of Abstracts of the 67th Annual Meeting of the European Federation of Animal Science
Publisher :
Wageningen Academic Publishers, Wageningen, Netherlands
Edition :
Belfast 2016
ISBN/EAN :
978-90-8686-284-9
Collection name :
Nº. 22
Pages :
300
Peer reviewed :
Peer reviewed
Available on ORBi :
since 23 May 2017

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