Article (Scientific journals)
Predicting the number of grazing days from milk FT-MIR spectral analysis
Dichou, Killian; Veselko, Didier; Marvuglia, Antonino et al.
2026In JDS Communications
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Keywords :
pasture; dairy cows; FT-MIR
Disciplines :
Agriculture & agronomy
Author, co-author :
Dichou, Killian  ;  Université de Liège - ULiège > Département GxABT > Modélisation et développement
Veselko, Didier 
Marvuglia, Antonino 
Soyeurt, Hélène  ;  Université de Liège - ULiège > Département GxABT > Modélisation et développement
Language :
English
Title :
Predicting the number of grazing days from milk FT-MIR spectral analysis
Publication date :
April 2026
Journal title :
JDS Communications
eISSN :
2666-9102
Publisher :
American Dairy Science Association
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
SPW - Service Public de Wallonie
F.R.S.-FNRS - Fonds de la Recherche Scientifique
FNR - Fonds National de la Recherche Luxembourg
Funding number :
D65-1435; INTERFNRS/18/12987586; T.0221.19
Funding text :
This work was supported by the Service Public de Wallonie with the project WALLeSmart [grant number D65-1435], as well as the FNR (Luxembourg) with the grant INTERFNRS/18/12987586 and the F.R.S-FNRS (Belgium) with the grant T.0221.19. under the bilateral project SIMBA (Simulating economic and environmental impacts of dairy cattle management using Agent-Based Models).
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since 08 July 2026

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