|Estimating fatty acid content in cow milk using mid-infrared spectrometry|
H Soyeurt, P Dardenne, F Dehareng, G Lognay, D Veselko, M Marlier, ...
Journal of dairy science 89 (9), 3690-3695, 2006
|Mid-infrared prediction of bovine milk fatty acids across multiple breeds, production systems, and countries|
H Soyeurt, F Dehareng, N Gengler, S McParland, E Wall, DP Berry, ...
Journal of dairy science 94 (4), 1657-1667, 2011
|Invited review: Large-scale indirect measurements for enteric methane emissions in dairy cattle: A review of proxies and their potential for use in management and breeding …|
E Negussie, Y de Haas, F Dehareng, RJ Dewhurst, J Dijkstra, N Gengler, ...
Journal of Dairy Science 100 (4), 2433-2453, 2017
|Potential use of milk mid-infrared spectra to predict individual methane emission of dairy cows|
F Dehareng, C Delfosse, E Froidmont, H Soyeurt, C Martin, N Gengler, ...
Animal 6 (10), 1694-1701, 2012
|Development of Fourier transform mid-infrared calibrations to predict acetone, β-hydroxybutyrate, and citrate contents in bovine milk through a European dairy network|
C Grelet, C Bastin, M Gelé, JB Davière, M Johan, A Werner, R Reding, ...
Journal of dairy science 99 (6), 4816-4825, 2016
|Variation of Δ9-desaturase activity in dairy cattle|
H Soyeurt, F Dehareng, P Mayeres, C Bertozzi, N Gengler
Journal of Dairy Science 91 (8), 3211-3224, 2008
|Standardization of milk mid-infrared spectra from a European dairy network|
C Grelet, JAF Pierna, P Dardenne, V Baeten, F Dehareng
Journal of dairy science 98 (4), 2150-2160, 2015
|Genetic parameters of saturated and monounsaturated fatty acid content and the ratio of saturated to unsaturated fatty acids in bovine milk|
H Soyeurt, P Dardenne, F Dehareng, C Bastin, N Gengler
Journal of Dairy Science 91 (9), 3611-3626, 2008
|Hot topic: Innovative lactation-stage-dependent prediction of methane emissions from milk mid-infrared spectra|
A Vanlierde, ML Vanrobays, F Dehareng, E Froidmont, H Soyeurt, ...
Journal of Dairy Science 98 (8), 5740-5747, 2015
|Capitalizing on fine milk composition for breeding and management of dairy cows|
N Gengler, H Soyeurt, F Dehareng, C Bastin, F Colinet, H Hammami, ...
Journal of dairy science 99 (5), 4071-4079, 2016
|Mid-infrared prediction of lactoferrin content in bovine milk: potential indicator of mastitis|
H Soyeurt, C Bastin, FG Colinet, VMR Arnould, DP Berry, E Wall, ...
Animal 6 (11), 1830-1838, 2012
|Validation of fatty acid predictions in milk using mid-infrared spectrometry across cattle breeds|
MHT Maurice-Van Eijndhoven, H Soyeurt, F Dehareng, MPL Calus
Animal 7 (2), 348-354, 2013
|Milk mid-infrared spectra enable prediction of lactation-stage-dependent methane emissions of dairy cattle within routine population-scale milk recording schemes|
A Vanlierde, ML Vanrobays, N Gengler, P Dardenne, E Froidmont, ...
Animal Production Science 56 (3), 258-264, 2016
|Potential of milk mid-IR spectra to predict metabolic status of cows through blood components and an innovative clustering approach|
C Grelet, A Vanlierde, M Hostens, L Foldager, M Salavati, KL Ingvartsen, ...
Animal 13 (3), 649-658, 2019
|Standardization of milk mid-infrared spectrometers for the transfer and use of multiple models|
C Grelet, JAF Pierna, P Dardenne, H Soyeurt, A Vanlierde, F Colinet, ...
Journal of dairy science 100 (10), 7910-7921, 2017
|Development of an equation for estimating methane emissions of dairy cows from milk Fourier transform mid-infrared spectra by using reference data obtained exclusively from …|
A Vanlierde, H Soyeurt, N Gengler, FG Colinet, É Froidmont, M Kreuzer, ...
Journal of Dairy Science 101 (8), 7618-7624, 2018
|Assessing the effect of pregnancy stage on milk composition of dairy cows using mid-infrared spectra|
A Laine, C Bastin, C Grelet, H Hammami, FG Colinet, LM Dale, A Gillon, ...
Journal of Dairy Science 100 (4), 2863-2876, 2017
|Genetic parameters of mid-infrared methane predictions and their relationships with milk production traits in Holstein cattle|
PB Kandel, ML Vanrobays, A Vanlierde, F Dehareng, E Froidmont, ...
Journal of dairy science 100 (7), 5578-5591, 2017
|Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions|
C Grelet, P Dardenne, H Soyeurt, JA Fernandez, A Vanlierde, F Stevens, ...
Methods 186, 97-111, 2021
|Improvement of lupin seed valorisation by the pig with the addition of alpha-galactosidase in the feed and the choice of a suited variety.|
É Froidmont, B Wathelet, Y Beckers, JM Romnée, F Dehareng, ...
Biotechnologie, agronomie, société et environnement 9 (4), 2005