Profil

Grelet Clément

Main Referenced Co-authors
Dehareng, Frédéric  (49)
Gengler, Nicolas  (40)
Soyeurt, Hélène  (28)
Dardenne, Pierre (24)
Vanlierde, Amélie  (23)
Main Referenced Keywords
dairy cattle (10); milk (10); MIR (7); infrared (4); lait (4);
Main Referenced Unit & Research Centers
Département Agronomie, Bio-ingénierie et Chimie - Ingénierie des Productions Animales - Génétique, Génomique et Modélisation numériques (2)
IPAN - Gembloux Agro-Bio Tech - Université de Liège (1)
Main Referenced Disciplines
Animal production & animal husbandry (46)
Agriculture & agronomy (25)
Food science (5)
Genetics & genetic processes (2)
Zoology (1)

Publications (total 68)

The most downloaded
183 downloads
Grelet, C., Fernandez Pierna, J., Dardenne, P., Massart, X., Brunscwhig, P., & Dehareng, F. (2012). OptiMIR : Standardisation de spectres moyen infrarouge de lait de vache en vue de la création d’une base de données transnationale [Poster presentation]. Journées 3R 2012. https://hdl.handle.net/2268/181725

The most cited

103 citations (Scopus®)

Grelet, C.* , Bastin, C.* , Gele, M., Davière, J.-B., Johan, M., Werner, A., Reding, R., Colinet, F., Dardenne, P., Gengler, N., Soyeurt, H., & Dehareng, F. (June 2016). Development of Fourier transform mid-infrared calibrations to predict acetone, β-hydroxybutyrate, and citrate contents in bovine milk through a European dairy network. Journal of Dairy Science, 99 (6), 4816-4825. doi:10.3168/jds.2015-10477 https://hdl.handle.net/2268/194885

Franceschini, S., Grelet, C., Leblois, J., Gengler, N., & Soyeurt, H. (September 2022). Development of a monitoring tool for metabolic imbalance issues based on Milk Recording data [Poster presentation]. 73rd EAAP annual meeting, Porto, Portugal.
Peer reviewed

Franceschini, S., Grelet, C., Leblois, J., Gengler, N., & Soyeurt, H. (27 April 2022). A new approach for data processing of Milk Recording data using unsupervised learning [Paper presentation]. Dair'Innov 2022, Namur, Belgium.
Peer reviewed

Franceschini, S., Grelet, C., Bertozzi, C., HappyMoo Consortium, GplusE Consortium, Gengler, N., & Soyeurt, H. (September 2021). Developing new quantitative traits related to animal health status using a holistic Big Data Approach [Paper presentation]. 72nd Annual Meeting of the European Federation of Animal Science in Davos, Davos, Switzerland.

Grelet, C., Dardenne, P., Soyeurt, H., Fernandez Pierna, J. A., Vanlierde, A., Stevens, F., Gengler, N., & Dehareng, F. (February 2021). Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions. Methods, 186, 97-111. doi:10.1016/j.ymeth.2020.07.012
Peer Reviewed verified by ORBi

Arevalo Sureda, E., Artuso-Ponte, V., Wall, S.-C., Li, B., Wei, F., Uerlings, J., Zhang, Y., Schroyen, M., Grelet, C., Dehareng, F., Wavreille, J., & Everaert, N. (2021). Isoquinoline alkaloids in the sow’s diet reduces body weight loss during lactation and increases IgG in colostrum [Poster presentation]. ESPHM 2020+1 - 12th European Symposium of porcine health management, Bern, Switzerland.
Editorial reviewed

Soyeurt, H., Grelet, C., McParland, S., Calmels, M., Coffey, M., Tedde, A., Delhez, P., Dehareng, F., & Gengler, N. (December 2020). A comparison of 4 different machine learning algorithms to predict lactoferrin content in bovine milk from mid-infrared spectra. Journal of Dairy Science, 103, 11585-11596. doi:10.3168/jds.2020-18870
Peer Reviewed verified by ORBi

Mineur, A., Hammami, H., Grelet, C., Egger-Danner, C., Sölkner, J., & Gengler, N. (May 2020). Investigation of the temporal relationships between milk mid-infrared predicted biomarkers and lameness events in later lactation. Journal of Dairy Science, 103 (5), 4475-4482. doi:10.3168/JDS.2019-16826
Peer Reviewed verified by ORBi

Grelet, C., Froidmont, É., Foldager, L., Salavati, M., Hostens, M., Ferris, C. P. W., Ingvartsen, K. L., Crowe, M. A., Sorensen, M. T., Fernandez Pierna, J. A., Vanlierde, A., Gengler, N., Dehareng, F., & GplusE Consortium (Other coll.). (May 2020). Potential of milk mid-infrared spectra to predict nitrogen use efficiency of individual dairy cows in early lactation. Journal of Dairy Science, 103 (5), 4435-4445. doi:10.3168/jds.2019-17910
Peer Reviewed verified by ORBi

Krogh, M. A., Hostens, M., Salavati, M., Grelet, C., Sorensen, M. T., Wathes, D. C., Ferris, C. P., Marchitelli, C., Signorelli, F., Napolitano, F., Becker, F., Larsen, T., Matthews, E., Carter, F., Vanlierde, A., Opsomer, G., Gengler, N., Dehareng, F., Crowe, M. A., ... Foldager, L. (2020). Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation. Animal, 14 (5), 1-9. doi:10.1017/S1751731119002659
Peer Reviewed verified by ORBi

Leblois, J., Zhang, Y., Wavreille, J., Uerlings, J., Schroyen, M., Arevalo Sureda, E., Soyeurt, H., Dehareng, F., Grelet, C., Oswald, I. P., Li, B., Bindelle, J., Zhang, H., & Everaert, N. (2020). Effects of wheat bran applied to maternal diet on the intestinal architecture and immune gene expression in suckling piglets. Animals, 10 (11), 2051. doi:10.3390/ani10112051
Peer Reviewed verified by ORBi

Rienesl, L., Khayatzadeh, N., Köck, A., Dale, L.-M., Werner, A., Grelet, C., Gengler, N., Auer, F.-J., Egger-Danner, C., Massart, X., & Sölkner, J. (25 September 2019). Mastitis detection from milk mid-infrared (MIR) spectroscopy in dairy cows. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 67 (5), 1221–1226. doi:10.11118/actaun201967051221
Peer Reviewed verified by ORBi

Gengler, N., Grelet, C., Soyeurt, H., & Dehareng, F. (2019). GplusE: Mid-infrared milk analysis based technologies adding value to gene banks. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science (Ghent 2019, pp. 443). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Zhang, L., Li, C., Dehareng, F., Grelet, C., Colinet, F., Gengler, N., & Soyeurt, H. (2019). Using of spectral global H distance improves the accuracy of milk MIR based predictions. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science (Ghent 2019, pp. 608). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Mineur, A., Verduijn, E. C., Knijn, H. M., De Jong, G., Soyeurt, H., Grelet, C., & Gengler, N. (2019). Potential use of MIR spectra in the prediction of hoof disorders in Holstein Friesians. In Book of Abstracts of the 70th Annual Meeting of the European Association for Animal Production (Ghent 2019, pp. 606). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Grelet, C., Dardenne, P., Soyeurt, H., Vanlierde, A., Fernandez Pierna, J. A., Gengler, N., & Dehareng, F. (2019). New phenotypes from milk MIR spectra: challenges to obtain reliable predictions. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science (Ghent 2019, pp. 605). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Soyeurt, H., Froidmont, E., Dufrasne, I., Wang, Z., Gengler, N., Dehareng, F., & Grelet, C. (2019). Validation of the prediction of body weight from dairy cow characteristics and milk MIR spectra. In Book of Abstracts of the 70th Annual Meeting of the European Association for Animal Production (Ghent 2019, pp. 606). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Gengler, N., Soyeurt, H., Bastin, C., Bertozzi, C., Colinet, F., Froidmont, E., Gillon, A., Grelet, C., Hammami, H., Leblois, J., Mayeres, P., Piraux, E., REIS MOTA, R., Vanderick, S., Vanlierde, A., Vanrobays, M.-L., Veselko, D., & Dehareng, F. (23 June 2019). Exploiting opportunities in dairy cattle breeding using midinfrared spectral data associated to novel traits in the Walloon Region of Belgium. Interbull Bulletin, 55, 5-10.
Peer reviewed

Grelet, C. (2019). Promoting international prediction models through standardization of milk mid-infrared spectra [Doctoral thesis, ULiège. GxABT - Liège Université. Gembloux Agro-Bio Tech]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/236291

De Koster, J., Salavati, M., Grelet, C., Crowe, M. A., Matthews, E., O'Flaherty, R., Opsomer, G., Foldager, L., Hostens, M., McLoughlin, N., Fahey, A., Santoro, A., Byrne, C., Rudd, P., Hallinan, S., Wathes, C., Cheng, Z., Fouladi, A., Pollott, G., ... GplusE. (April 2019). Corrigendum to “Prediction of metabolic clusters in early-lactation dairy cows using models based on milk biomarkers”. Journal of Dairy Science, 102 (4), 3778. doi:10.3168/jds.2019-102-4-3778

De Koster, J., Salavati, M., Grelet, C., Crowe, M. A., Matthews, E., O'Flaherty, R., Opsomer, G., Foldager, L., GplusE, & Hostens, M. (March 2019). Prediction of metabolic clusters in early-lactation dairy cows using models based on milk biomarkers. Journal of Dairy Science, 102 (3), 2631-2644. doi:10.3168/jds.2018-15533
Peer Reviewed verified by ORBi

Grelet, C., Froidmont, E., Hostens, M., Vanlierde, A., Foldager, L., Salavati, M., Ingvartsen, K. L., Sorensen, M., Crowe, M., Ferris, C., Marchitelli, C., Becker, F., GplusE consortium, & Dehareng, F. (2018). A first approach to predict nitrogen efficiency of dairy cows through milk FT-MIR spectra. In Book of Abstracts of the 69th Annual Meeting of the European Federation of Animal Science.
Peer reviewed

Little, M. W., Wylie, A. R. G., O'Connell, N. E., Welsh, M. D., Grelet, C., Bell, M. J., Gordon, A., & Ferris, C. P. (2018). Immunological effects of altering the concentrate inclusion level in a grass silage-based diet for early lactation Holstein Friesian cows. Animal, 1-11. doi:10.1017/S1751731118001891
Peer Reviewed verified by ORBi

Grelet, C., Vanlierde, A., Hostens, M., Foldager, L., Salavati, M., Ingvartsen, K. L., Crowe, M., Sorensen, M., Froidmont, E., Ferris, C., Marchitelli, C., Becker, F., Larsen, T., Carter, F., GplusE Consortium, & Dehareng, F. (2018). Potential of milk FT-MIR spectra to predict metabolic status of cows through blood components and an innovative clustering approach. Animal. doi:10.1017/S1751731118001751
Peer Reviewed verified by ORBi

Mineur, A., Köck, A., Grelet, C., Egger-Danner, C., Sölkner, J., & Gengler, N. (19 March 2018). Mid-infrared based biomarkers in milk as a non-invasive tool for early prediction of lameness caused by metabolic disorders [Paper presentation]. The fifth and final dairycare conference, Thessaloniki, Greece.

Foldager, L., Hostens, M., Salavati, M., Grelet, C., Sorensen, M. T., Crowe, M., Ingvartsen, K. L., & GplusE Consortium. (March 2018). Random forests prediction of blood metabolic clusters of dairy cows: comparing three types of milk biomarkers [Paper presentation]. Abstract for the Fifth DairyCare Conference.

Marchitelli, C., Signorelli, F., Napolitano, F., Grelet, C., Gengler, N., Dehareng, F., Soyeurt, H., Ingvartsen, K. L., Sørensen, M. T., Crowe, M., & GplusE Consortium. (March 2018). Milk biomarkers to evaluate health status of mammary gland in high producing dairy cattle [Paper presentation]. Proceedings in 5th DairyCare conference.

Mehtiö, T., Mäntysaari, P., Kokkonen, T., Kajava, S., Latomäki, T., Nyholm, L., Grelet, C., Pitkänen, T., Mäntysaari, E. A., & Lidauer, M. (2018). Developing an indicator for body fat mobilisation using mid-infrared spectrometry of milk samples in dairy cows. In Proceedings of the World Congress on Genetics Applied to Livestock Production.
Peer reviewed

Grelet, C., Baeten, V., Dardenne, P., Fernandez Pierna, J. A., Abbas, O., & Dehareng, F. (February 2018). Presentation of a new system to monitor and stabilize mid infrared spectral data [Paper presentation]. ICAR annual Conference.

Leblois, J., Massart, S., Soyeurt, H., Grelet, C., Dehareng, F., Schroyen, M., Li, B., Wavreille, J., Bindelle, J., & Everaert, N. (2018). Feeding sows resistant starch during gestation and lactation impacts their faecal microbiota and milk composition but shows limited effects on their progeny. PLoS ONE. doi:10.1371/journal.pone.0199568
Peer Reviewed verified by ORBi

Mineur, A., Köck, A., Grelet, C., Gengler, N., Egger-Danner, C., & Sölkner, J. (29 September 2017). First results in the use of milk MIR spectra in the detection of lameness in Austrian dairy cows [Paper presentation]. Projektgruppe „Genetisch-Statistische Methoden“ der DGfZ, Cuxhaven, Germany.

Mineur, A., Köck, A., Grelet, C., Gengler, N., Egger-Danner, C., & Sölkner, J. (21 September 2017). First results in the use of milk MIR spectra in the detection of lameness in Austrian dairy cows [Paper presentation]. 25th International Symposium Animal Science Days, Brandlucken, Austria.

Grelet, C., Vanlierde, A., Dehareng, F., Froidmont, E., & GplusE Consortium. (2017). Prediction of energy status of dairy cows using MIR milk spectra. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science.
Peer reviewed

Hammami, H., Colinet, F., Bastin, C., Grelet, C., Vanlierde, A., Dehareng, F., Gengler, N., & GplusE Consortium. (2017). Using milk based biomarkers to monitor the physiological state of dairy cows in large populations. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science.
Peer reviewed

Mäntysaari, P., Kokkonen, T., Grelet, C., Mäntysaari, E., & Lidauer, M. (August 2017). Body and milk traits as cow’s energy status indicator [Poster presentation]. Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science.

Hammami, H., Colinet, F., Bastin, C., Grelet, C., Vanlierde, A., Dehareng, F., & Gengler, N. (2017). Genetic analysis of milk MIR predicted blood and milk biomarkers linked to the physiological status. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (Tallin 2017, pp. 403). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Marchitelli, C., Signorelli, F., Napolitano, F., Buttazzoni, L., Grelet, C., Vanlierde, A., Dehareng, F., Soyeurt, H., Crowe, M., & GplusE Consortium. (16 July 2017). Expression profiles of immune genes in milk somatic cells and MIR predicted mineral contents in milk as indicators of mastitis [Poster presentation]. 36th International Society for Animal Genetics Conference.

Laine, A., Bastin, C., Grelet, C., Hammami, H., Colinet, F., Dale, L.-M., Gillon, A., Vandenplas, J., Dehareng, F., & Gengler, N. (April 2017). Assessing the effect of pregnancy stage on milk composition of dairy cows using mid-infrared spectra. Journal of Dairy Science, 100 (4), 2863–2876. doi:10.3168/jds.2016-11736
Peer Reviewed verified by ORBi

Grelet, C., Pierna, J. A. F., Dardenne, P., Soyeurt, H., Vanlierde, A., Colinet, F., Bastin, C., Gengler, N., Baeten, V., & Dehareng, F. (2017). Standardization of milk mid-infrared spectrometers for the transfer and use of multiple models. Journal of Dairy Science, 100 (10), 7910 - 7921. doi:10.3168/jds.2017-12720
Peer Reviewed verified by ORBi

Mineur, A., Köck, A., Grelet, C., Gengler, N., Egger-Danner, C., & Sölkner, J. (2017). First results in the use of milk mid-infrared spectra in the detection of lameness in Austrian dairy cows. Agriculturae Conspectus Scientificus, 82 (2), 163-166.
Peer reviewed

Dehareng, F., Grelet, C., Holroyd, S., Van den Bijgaart, H., Warnecke, S., Fernandez Pierna, J. A., Broutin, P., & Dardenne, P. (2017). Standardization of FT-MIR instruments for milk analysis. Bulletin: International Dairy Federation, IDF 490-2017.

Grelet, C., Fernandez Pierna, J. A., Dardenne, P., Soyeurt, H., Colinet, F., Vanlierde, A., Gengler, N., & Dehareng, F. (17 October 2016). Novel innovative possibilities for the dairy industry opened by common format of FT-MIR instruments [Poster presentation]. IDF WORLD DAIRY SUMMIT 2016, Rotterdam, Netherlands.

Vanlierde, A., Dehareng, F., Froidmont, E., Gengler, N., Soyeurt, H., Grelet, C., McParland, S., & Dardenne, P. (October 2016). A simple method to predict methane emissions based on milk mid infrared spectra [Poster presentation]. IDF World Dairy Summit 2016, Rotterdam, Netherlands.

Vanlierde, A., Grelet, C., Gengler, N., Ferris, C., Sorensen, M. T., Höglund, J., Carter, F., Santoro, A., Hermans, K., Hostens, M., Dardenne, P., & Dehareng, F. (2016). Potential of milk MIR spectra to develop new health phenotypes for dairy cows in the GplusE project. In Book of Abstracts of the 67th Annual Meeting of the European Federation of Animal Science (Belfast 2016, pp. 299). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Grandl, F., Vanlierde, A., Vanrobays, M.-L., Grelet, C., Dehareng, F., Gengler, N., Soyeurt, H., Kreuzer, M., Schwarm, A., Münger, A., Dohme-Meier, F., & Gredler, B. (2016). Application of a milk MIR methane prediction equation to Swiss dairy cattle population data. In Book of Abstracts of the 67th Annual Meeting of the European Federation of Animal Science (Belfast 2016, pp. 630). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Grelet, C., Gengler, N., Bastin, C., Vanlierde, A., Smith, S., Gelé, M., Soyeurt, H., Massart, X., Dardenne, P., & Dehareng, F. (2016). OptiMIR: Use of MIR spectra to predict multiple cow status as advisory tools for dairy farms. In Book of Abstracts of the 67th Annual Meeting of the European Federation of Animal Science (Belfast 2016, pp. 300). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Grelet, C.* , Bastin, C.* , Gele, M., Davière, J.-B., Johan, M., Werner, A., Reding, R., Colinet, F., Dardenne, P., Gengler, N., Soyeurt, H., & Dehareng, F. (June 2016). Development of Fourier transform mid-infrared calibrations to predict acetone, β-hydroxybutyrate, and citrate contents in bovine milk through a European dairy network. Journal of Dairy Science, 99 (6), 4816-4825. doi:10.3168/jds.2015-10477
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Gengler, N., Soyeurt, H., Dehareng, F., Bastin, C., Colinet, F., Hammami, H., Vanrobays, M.-L., Laine, A., Vanderick, S., Grelet, C., Vanlierde, A., Froidmont, E., & Dardenne, P. (May 2016). Capitalizing on fine milk composition for breeding and management of dairy cows. Journal of Dairy Science, 99 (5), 4071-4079. doi:10.3168/jds.2015-10140
Peer Reviewed verified by ORBi

Fernandez Pierna, J., Vincke, D., Baeten, V., Grelet, C., Dehareng, F., & Dardenne, P. (19 January 2016). Chemometrics and vibrational spectroscopy for the detection of melamine levels in milk [Poster presentation]. Proceedings in: Chimiométrie 2016, Namur, Belgium, 17-20 January 2016, CRA-W, 107.

Soyeurt, H., Vanlierde, A., Grelet, C., Vanrobays, M.-L., Colinet, F., Gengler, N., Bastin, C., & Dehareng, F. (2016). Improvement of robustness of forward selection of variables using split datasets: Mid-infrared methane equation. In CHIMIOMETRIE XVII - Session 1: Sprectrométrie et prétraitement (pp. 21-22).
Peer reviewed

Fernandez Pierna, J. A., Vincke, D., Baeten, V., Grelet, C., Dehareng, F., & Dardenne, P. (2016). Use of a multivariate moving window PCA for the untargeted detection of contaminants in agro-food products, as exemplified by the detection of melamine levels in milk using vibrational spectroscopy. Chemometrics and Intelligent Laboratory Systems. doi:10.1016/j.chemolab.2015.10.016
Peer Reviewed verified by ORBi

Grelet, C., Fernandez Pierna, J. A., Dardenne, P., Baeten, V., Massart, X., & Dehareng, F. (January 2016). Application of a standardisation procedure on an international network of MIR instruments for milk analysis [Poster presentation]. Chimiométrie 2016.

Grelet, C., Bastin, C., Gelé, M., Davière, J.-B., Reding, R., Werner, A., Darimont, C., Dehareng, F., Gengler, N., & Dardenne, P. (2015). Milk biomarkers to detect ketosis and negative energy balance using MIR spectrometry. In Book of Abstracts of the 66th Annual Meeting of the European Federation of Animal Science (Warsaw 2015, pp. 354). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Bastin, C., Colinet, F., Dehareng, F., Grelet, C., Hammami, H., Soyeurt, H., Vanlierde, A., Vanrobays, M.-L., & Gengler, N. (2015). On the use of novel milk phenotypes as predictors of difficult-to-record traits in breeding programs. In Book of Abstracts of the 66th Annual Meeting of the European Federation of Animal Science (Warsaw 2015, pp. 550). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Grelet, C., Fernandez Pierna, J., Dardenne, P., Baeten, V., Vanlierde, A., Soyeurt, H., Darimont, C., & Dehareng, F. (10 June 2015). Quality Assurance for new analytical parameters, Optimir standardisation of MIR instruments [Paper presentation]. Reference Laboratory Network meeting, ICAR technical workshop 2015. Krakow (Poland), 10 June 2015.

Grelet, C.* , Fernandez Pierna, J. A.* , Dardenne, P., Baeten, V., & Dehareng, F. (February 2015). Standardisation of milk mid-infrared spectra from a European dairy network. Journal of Dairy Science, 98, 2150-2160. doi:10.3168/jds.2014-8764
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Grelet, C., Fernandez Pierna, J. A., Dardenne, P., Vanlierde, A., Baeten, V., Soyeurt, H., Darimont, C., & Dehareng, F. (2015). Standardisation of milk MIR spectra, Development of common MIR equations. In Biotechnol. Agron. Soc. Environ.2015 19(2), 97-124.
Peer reviewed

Laine, A., Bastin, C., Grelet, C., Dehareng, F., Massart, X., & Gengler, N. (2015). Developing Innovative Health and Welfare Management Tools for Dairy Cows from Optimized Use fo Milk Mid-Infrared Spectra (OptiMIR) [Poster presentation]. Second DairyCare Conference, Cordoba, Spain.

Bastin, C., Grelet, C., Gelé, M., Davière, J.-B., Reding, R., Darimont, C., Dehareng, F., Gengler, N., & Dardenne, P. (2015). Mid-infrared prediction of beta-hydroxybutyrate, acetone, and citrate contents in milk [Poster presentation]. Final optimir scientific and expert meeting: from milk analysis to advisory tools.

Grelet, C., Fernandez Pierna, J., Soyeurt, H., Dehareng, F., Gengler, N., & Dardenne, P. (25 August 2014). Creation of universal MIR calibration by standardization of milk spectra: example of fatty acids [Poster presentation]. 65th annual meeting of the European Federation of Animal Science, Copenhagen, Denmark.

Grelet, C., Fernandez Pierna, J., Soyeurt, H., Dehareng, F., Gengler, N., & Dardenne, P. (2014). Creation of universal MIR calibration by standardization of milk spectra: example of fatty acids. In Book of abstracts of the 65th annual meeting of the European Federation of Animal Science (Copenhagen 2014, pp. 108). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Ninane, V., Grelet, C., Dehareng, F., Romnée, J.-M., & Boxus, K. (2014). Effet de la microfiltration d’épuration sur les composants influençant la qualité fromagère du lait [Poster presentation]. Journées 3R 2014.

Grelet, C., Fernandez Pierna, J. A., Dardenne, P., & Dehareng, F. (2014). Standardisation de spectres MIR de lait [Paper presentation]. Journées 3R 2014.

Grelet, C., Dehareng, F., Vanlierde, A., Nguyen, H. N., Colinet, F., & Dardenne, P. (05 November 2013). New tools for the dairy sector based on MIR and NIR spectroscopy [Paper presentation]. 6th International Symposium on Recent Advances in Food Analysis, Prague, Czechia.

Grelet, C., Fernandez Pierna, J. A., Dehareng, F., Massart, X., Gengler, N., & Dardenne, P. (2013). OptiMIR : de nouveaux outils de management des exploitations laitières grâce au spectre moyen infra-rouge du lait [Paper presentation]. Carrefour des productions Animales 2013.

Grelet, C., Fernandez Pierna, J. A., Dehareng, F., & Dardenne, P. (2013). Standardisation of milk MIR spectra: a first step to create new tools of dairy farm management. In Book of Abstracts of the 64th Annual Meeting of the European Federation of Animal Science.
Peer reviewed

Grelet, C., Froidmont, E., Rondia, P., Sinnaeve, G., & Dehareng, F. (2013). Influence de l'alimentation des vaches laitières sur la fromageabilité du lait [Poster presentation]. Journées 3R 2013.

Fernandez Pierna, J., Grelet, C., Dehareng, F., Dardenne, P., & Baeten, V. (2012). Merging of spectral datasets from different MIR instruments used in the routine analysis of milk. In Proceedings of ICAR 2012.
Peer reviewed

Grelet, C., Fernandez Pierna, J., Dardenne, P., Massart, X., Brunscwhig, P., & Dehareng, F. (2012). OptiMIR : Standardisation de spectres moyen infrarouge de lait de vache en vue de la création d’une base de données transnationale [Poster presentation]. Journées 3R 2012.

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