List of publications

Scientific publications peer reviewed

2020

  • Using online tools at the Bovine Genome Database to manually annotate genes in the new reference genome. Triant D.A., Le Tourneau J.J., Diesh C.M., Unni D.R., Shamimuzzaman M., Walsh A.T., Gardiner J., Goldkamp A.K., Li Y., Nguyen H.N., Roberts C., Zhao Z., Alexander L.J., Decker J.E., Schnabel R.D., Schroeder S.G., Sonstegard T.S., Taylor J.F., Rivera R.M., Hagen D.E., Elsik C.G. 2020. Animal Genetics. https://onlinelibrary.wiley.com/doi/full/10.1111/age.12962
  • Investigation of the temporal relationships between milk mid-infrared predicted biomarkers and lameness events in later lactation. Axelle Mineur, Hedi Hammami, Clément Grelet, Christa Egger-Danner, Johann Sölkner, Nicolas Gengler. 2020. Journal of Dairy Science, 103, 4475-4482. https://doi.org/10.3168/jds.2019-16826.
  • Genome-wide association for metabolic clusters in early-lactation Holstein dairy cows. H. Atashi, M. Salavati, J. De Koster, M.A. Crowe, G. Opsomer, The GplusE consortium, M. Hostens. 2020. Journal of Dairy Science, 103, 6392-6406. https://doi.org/10.3168/jds.2019-17369
  • A Genome-Wide Association Study for Calving Interval in Holstein Dairy Cows Using Weighted Single-Step Genomic BLUP Approach. Hadi Atashi, Mazdak Salavati, Jenne De Koster, Mark A. Crowe, Geert Opsomer, Miel Hostens, The GplusE Consortium. 2020, Animals, 10, 500. https://doi.org/10.3390/ani10030500
  • Potential of milk mid-infrared spectra to predict nitrogen use efficiency of individual dairy cows in early lactation. C. Grelet, E. Froidmont, L. Foldager, M. Salavati, M. Hostens, C.P. Ferris, K.L. Ingvartsen, M.A. Crowe, M.T. Sorensen; J.A. Fernandez Pierna, A.Vanlierde, N. Gengler, GplusE Consortium, F. Dehareng, 2020, Journal of Dairy Science, 103, 4435-4445. https://doi.org/10.3168/jds.2019-17910.
  • Economic value of information from an alert system on physiological imbalance in fresh cows. Ettema, J. F., Krogh, M. A. & Østergaard, S., 2020. Preventive Veterinary Medicine. (Accepted)
  • Only few benefits from propylene glycol drench in early lactation for cows identified as physiological imbalanced based on milk spectra analyses. Østergaard, S., Krogh M.A., Oliveira, V.H.S., Larsen T., GplusE consortium & Otten, N.D., 2020. Journal of Dairy Science. 103, 1831–1842. https://doi.org/10.3168/jds.2019-17205
  • Predicting physiological imbalance in Holstein dairy cows by three different sets of milk biomarkers. L. Foldager, C. Gaillard, M.T. Sorensen, T. Larsen, E. Matthews, R. O’Flaherty, F. Carter, M.A. Crowe, C. Grelet, M. Salavati, M. Hostens, K.L. Ingvartsen, M.A. Krogh, GplusE Consortium. 2020. Preventive Veterinary Medicine, 179, 105006. https://doi.org/10.1016/j.prevetmed.2020.105006
  • Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation. M.A. Krogh, M. Hostens, M. Salavati, C. Grelet, M.T. Sorensen, D.C. Wathes, C.P. Ferris, C. Marchitelli, F. Signorelli, F. Napolitano, F. Becker, T. Larsen, E. Matthews, F. Carter, A. Vanlierde, G. Opsomer, N. Gengler, F. Dehareng, M.A. Crowe, K.L. Ingvartsen, L. Foldager. Animal, 14, 1067-1075. https://doi.org/10.1017/S1751731119002659
  • Genome‐wide association for milk production and lactation curve parameters in Holstein dairy cows. H. Atashi, M. Salavati, J. De Koster, J. Ehrlich, M. Crowe, G. Opsomer, the GplusE consortium, M. Hostens. 2020. Journal of Animal Breeding and Genetics, 137, 292-304. https://doi.org/10.1111/jbg.12442.
  • Expert-based development of a generic HACCP-based risk management system to prevent critical negative energy balance in dairy herds. T. Rousing, J. Rothmann-Holm, M. A. Krogh, S. Østergaard, GplusE Consortium. 2020. Preventive Veterinary Medicine, 175, 104849. https://doi.org/10.1016/j.prevetmed.2019.104849

2019

  • Bovine Genome Database: new annotation tools for a new reference genome. Shamimuzzaman M., Le Tourneau J.J., Unni D.R., Diesh C.M., Triant D.A., Walsh A.T., Tayal A., Conant G.C., Hagen D.E., Elsik C.G., 2019. Nucleic Acids Research pii: gkz944. doi: 10.1093/nar/gkz944. [Epub ahead of print] PubMed PMID: 31647100
  • Immunological effects of altering the concentrate inclusion level in a grass silage-based diet for early lactation Holstein Friesian cows. Little, M.W., Wylie, A.R.G., O’Connell, N.E., Welsh, M.D., Grelet, C., Bell, M.J., Gordon, A., Ferris, C., 2019. Animal, 13, 799-809. doi:10.1017/S1751731118001891
  • Genetic benefits of genomic selection breeding programmes considering foreign sire contributions. D. Matthews, J.F. Kearney, A.R. Cromie, F.S. Hely, P.R. Amer, 2019. Genetics Selection Evolution, 51:40. https://doi.org/10.1186/s12711-019-0483-5
  • Between- and within-herd variation in blood and milk biomarkers in Holstein cows in early lactation. M.A. Krogh, M. Hostens, M. Salavati, C. Grelet, M.T. Sorensen, D.C. Wathes, C.P. Ferris, C. Marchitelli, F. Signorelli, F. Napolitano, F. Becker, T. Larsen, E. Matthews, F. Carter, A. Vanlierde, G. Opsomer, N. Gengler, F. Dehareng, M.A. Crowe, K.L. Ingvartsen, L. Foldager, 2019. Animal, 1-9. doi:10.1017/S1751731119002659
  • 杜超,刘深,程春宝,周子超,阮健,南良康,张淑君.奶牛妊娠诊断技术现状及未来发展方向.The status and future development of dairy cow pregnancy diagnosis technology. Du Chao, Liu Shenhe, Cheng Chunbao, Zhou Zichao, Ruan Jian, Nan Liangkang, Zhang Shujun. 2019. 中国奶牛, China Dairy Cattle, 10, 29-33.
  • 阮健,陈焱森,万平民,潘中保,张震,闫磊,任小, 张淑君*(通讯作者).红外光谱预测牛奶及奶产品成分含量的回归模型及其特点. Regression model and characteristics of milk and milk product composition prediction by mid-infrared spectroscopy. Ruan Jian, Chen Yansen, Wan Pingmin, Pan Zhongbao, Zhang Zhen, Yan Lei, Ren Xiaoli, Zhang Shujun, 2019. 中国奶牛, China Dairy Cattle, 5, 4-7.
  • ,梁秋曼,南良康,阮健,陈焱森,丽丽,丁芳,陈绍祜,闫青霞, 张淑君*(通讯作者).用于牛奶分析的中红外光谱标准化及其在模型传递中的作用. Standardization of mid-infrared spectroscopy for milk analysis and its use in model transfer Role. Liu Rui, Liang Qiuman, Nan Liangkang, Ruan Jian, Chen Yisen, Li Lili, Ding Fang, Chen Shaoji, Yan Qingxia, Zhang Shujun, 2019. China Dairy Cattle, 4, 1-5.
  • Concurrent and long-term associations between the endometrial microbiota and endometrial transcriptome in postpartum dairy cows. Stephen G. Moore, Aaron C. Ericsson, S.K. Behura, W.R. Lamberson, T.J. Evans, M.S. McCabe, S.E. Poock and M.C. Lucy. BMC Genomics, 2019, 20, 405. https://doi.org/10.1186/s12864-019-5797-8
  • Prediction of metabolic clusters in early lactation dairy cows using models based on milk biomarkers. J. De Koster, M. Salavati, C. Grelet, M. A. Crowe, E. Matthews, R. O’Flaherty , G. Opsomer, L. Foldager, the GplusE consortium and M. Hostens. 2019. Journal of Dairy Science, 102, 2631-2644. doi: 10.3168/jds.2018-15533. Corrigendum to “Prediction of metabolic clusters in early-lactation dairy cows using models based on milk biomarkers” J Dairy Sci. 2019 Apr;102(4):3778. doi: 10.3168/jds.2019-102-4-3778.
  • 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, K.L. Ingvartsen, M. Crowe, M.T. Sorensen, E. Froidmont, C.P. Ferris, C. Marchitelli, F. Becker, T. Larsen, F. Carter, GplusE consortium and F. Dehareng. 2019. Animal, 13, 649-658, https://doi.org/10.1017/S1751731118001751

2018

2017

2016

2015


Other publications

2018

2017


 Abstracts in Scientific meetings

2019

  • Exploiting opportunities in dairy cattle breeding using mid-infrared spectral data associated to novel traits in the Walloon Region of Belgium. N. Gengler, H. Soyeurt, C. Bastin, C. Bertozzi, F.G. Colinet, E. Froidmont, A. Gillon, C. Grelet, H. Hammami, J. Leblois, P. Mayeres, E. Piraux, R. Reis Mota, S. Vanderick, A. Vanlierde, M.-L. Vanrobays, D. Veselko and F. Dehareng. 2019. Interbull Bulletin, 55. Cincinnati, Ohio, USA, June 23 – 26.
  • Using milk MIR spectra to identify candidate genes associated with climate-smart traits in cattle. H. Hammami, R. Reis Mota, S. Vanderick, S. Naderi, C. Bastin, N. Gengler. 2019. 70th Annual Meeting of the EAAP, 26-30 August, Ghent, Belgium.
  • Validation of the prediction of body weight from dairy cow characteristics and milk MIR spectra. H. Soyeurt, E. Froidmont, I. Dufrasne, Z. Wang, N. Gengler, F. Dehareng, C. Grelet. 2019. 70th Annual Meeting of the EAAP, 26-30 August, Ghent, Belgium, p.606.
  • Chromosome regions affecting MIR spectra indirect predictors of cheese-making properties in cattle. R. Reis-Mota, H. Hammami, S. Vanderick, S Naderi, N. Gengler, 2019. 70th Annual Meeting of the EAAP, 26-30 August, Ghent, Belgium.
  • GplusE: Mid-infrared milk analysis based technologies adding value to gene banks. N. Gengler, C. Grelet, H. Soyeur, F. Dehareng. 2019. 70th Annual Meeting of the EAAP, 26-30 August, Ghent, Belgium.
  • A first approach to predict nitrogen efficiency of individual dairy cows through milk MIR spectra. C. Grelet, E. Froidmont, M. Hostens, L. Foldager, M. Salavati, A. Vanlierde, M.T. Sorensen, K.L. Ingvartsen, M.A. Crowe, C.P. Ferris, GplusE consortium and F. Dehareng. 2019. ICAR annual Conference, Prague, Czech Republic, 20 June.

2018

  • RNA-seq transcriptome profiles of whole blood associated to IGF-1 in cattle: primiparous vs multiparous. L Buggiotti, Z Cheng, M Salavati, H Takeda, DC Wathes, and Genotype plus Environment Consortium. 2018. 4th Livestock Genomics Conference, 21-22 September, Wellcome Genome Campus, Cambridge, UK.
  • 利用牛奶中红外光谱MIR预测奶牛生产性能现状及其前景.张淑君,2018. 中国奶牛性能测定(DHI)工作总结大会,2018年5月5-7日,中国,武汉.The present situation and prospect of dairy cow production performance predicted by using mid-infrared spectrum mirs in milk. Zhang Shujun. 2018. Annual Conference of China Dairy Cow Performance Measurement (DHI), 5-7th May, Wuhan, China.
  • 基于中红外光谱MIR的牛奶成份和生物标记的检测技术及其应用, 张淑君. 2018. 第32届中国奶协动物繁殖专业委员会学术研讨会,2018年8月6-9日。中国,银川.Detection technology and application of milk ingredients and biomarkers of cattle based on middle infrared spectrum mirs. Zhang Shujun. 2018. The 32nd Academic Seminar of Animal Breeding Committee of Chinese Dairy Association, 6-9th August, Yinchuan, China.
  • Integrating functional genomic information to improve the accuracy of genomic selection of dairy cattle. H. Takeda, L. Tang, C. Charlier, M. Georges, GplusE Consortium. 2018. The 41st Annual meeting of Molecular Biology Society of Japan, 28-30 November, Yokohama, Japan.
  • Metabolic clustering of dairy cows at early and peak lactation. Indicators of metabolic imbalance, association with production parameters and prediction using milk biomarkers. De Koster J., Opsomer G., Hostens M., GplusE Consortium. 2018. 7th BASF Workshop: Health and Nutrition in High-Yielding Dairy Cows, Bonn, Germany, 7-8 June.
  • Cost/benefit analyses on indicator-based intervention on physiological imbalance in dairy cows. Krogh M., Ettema J., Østegaard S. 2018. 15th International Symposium of Veterinary Epidemiology and Economics, 12-16 November, Chiang Mai, Thailand.
  • Metabolic clustering of dairy cows at early and peak lactation. De Koster J., Opsomer G., Hostens M., GplusE Consortium. 2018. 22nd ESDAR Conference, Cordoba, Spain, 27-29 September.
  • Genomic markers derived from novel milk mid-infrared spectra based fertility traits. Gengler N., Hammami H., Mineur A., Naderi-Darbaghshahi S., Reis-Mota R., Vanderick S., GplusE Consortium. 2018. 22nd ESDAR Conference, Cordoba, Spain, 27-29 September.
  • Novel fertility traits and genomic markers in dairy cows. M. Hostens, M.A. Crowe, J. De Koster, GplusE Consortium. 2018. 22nd ESDAR Conference, Cordoba, Spain, 27-29 September.
  • Milk biomarkers to evaluate health status of mammary gland in high producing dairy cattle. C. Marchitelli, F. Signorelli, C. Grelet, N. Gengler, K. Lonne Ingvartsen, M.T. Sorensen, T. Larsen, M. Crowe, 2018. 5th DairyCare Conference, 19-20 March, Thessaloniki, Greece.
  • Random forests prediction of blood metabolic clusters of dairy cows: comparing three types of milk biomarkers. L. Foldager, M. Hostens, M. Salavati, C. Grelet, M.T. Sorensen, M. Crowe, K. Lonne Invartsen, GplusE consortium, 2018. 5th DairyCare Conference, 19-20 March, Thessaloniki, Greece.
  • Challenges and opportunities for evaluating and using the genetic potential of dairy cattle in the new era of sensor data from automation. N Gengler. 2018. Interbull Annual Meeting & ADSA – ASAS Joint Annual Meeting, 24-27 June, Knoxville, Tennessee, USA. Journal of Dairy Science, 2019, 102, 5756-5763. https://doi.org/10.3168/jds.2018-15711
  • Multi-omics data integration approach for resilience of dairy cattle to heat stress. H. Hammami, F.G. Colinet, C. Bastin, S. Vanderick, A. Mineur, S. Naderi-Darbaghshahi, R.R. Mota, N. Gengler. 69th Annual Meeting of the EAAP, 27-31 August, Dubrovnik, Croatia.
  • Early-programming of dairy cattle, a potential explanation to the adaptation to climate change. H. Hammami, F.G. Colinet, C. Bastin, S. Vanderick, A. Mineur, S. Naderi-Darbaghshahi, R.R. Mota, N. Gengler. 69th Annual Meeting of the EAAP, 27-31 August, Dubrovnik, Croatia.
  • Temporal relationship between milk mid-infrared predicted metabolic disorders and lameness events over the course of a lactation. A. Mineur, C. Egger-Danner, S. Vanderick, H. Hammami, N. Gengler. 69th Annual Meeting of the EAAP, 27-31 August, Dubrovnik, Croatia.
  • World survey of dairy cattle; breeding, genotyping and subpopulations. D. Matthews, B. Wickham, F. Kearney, P. Amer, GplusE Consortium. 2018. 69th Annual Meeting of the EAAP, 27-31 August, Dubrovnik, Croatia.
  • A first approach to predict nitrogen efficiency of dairy cows through milk FT-MIR spectra. Grelet C, Froidmont E, Hostens M, Vanlierde A, Foldager L, Salavati M, Ingvartsen K, Sorensen M, Crowe M, Ferris C, Marchitelli C, Becker F, GplusE consortium, Dehareng F. 2018. 69th Annual meeting of the EAAP, 27-31 August, Dubrovnik, Croatia.
  • How fast can we change resilience and efficiency through breeding and management? N. Gengler, M. Hostens, GplusE Consortium 2018. 69th Annual Meeting of the EAAP, 27-31 August, Dubrovnik, Croatia.
  • RNA-Seq analysis of whole blood from early lactation dairy cows reveals association of anti-viral response pathways with poor fertility. M Salavati, Z Cheng, D Werling, D C Wathes, GplusE Consortium. 2018. BSAS Annual Conference, Dublin, Ireland, 9-11 April. Advances in Animal Biosciences, 9, Special Issue 1, 34.
  • BovineMine: Simplifying Meta-Analysis in Bovine Genomic Research. D.R. Unni, A. Tayal, D.E. Hagen, C.G. Elsik. 2018. Plant and Animal Genome XXVI Conference, 13-17 January, San Diego, CA, USA.

2017

  • BovineMine: Integrating Ruminant Genomes. C.G. Elsik, D.R. Unni, D.E. Hagen, C.M. Diesh, A. Tayal, 2017. Plant and Animal Genome XXV Conference, 13-27 January, San Diego, CA, USA.
  • Generating Customized Integrated Functional Annotation Datasets with BovineMine. C.G. Elsik, D.R. Unni, A. Tayal, D.E. Hagen, 2017. 36th International Society for Animal Genetics Conference, 16-21 July, Dublin, Ireland.
  • Expression profiles of immune genes in milk somatic cells and MIR predicted mineral contents in milk as indicators of mastitis. Marchitelli C, Signorelli F, Napolitano F, Buttazzoni L, Grelet C, Vanlierde A, Dehareng F, Soyeurt H, Crowe M, GplusE Consortium. 2017. 36th International Society for Animal Genetics Conference, Dublin, Ireland, 16-21 July 2017.
  • Whole blood RNA-Seq profiling of early lactation dairy cows of diverse fertility clusters, Salavati M, Genotype Plus Environment Consortium, 2017. 36th International Society for Animal Genetics Conference, 16-21 July, Dublin, Ireland.
  • RT-qPCR to analyze the expression of oligosaccharides metabolism genes (ST3GALT1, ST6GALT1, LALBA and B4GALT1) during goat lactation, Crisà C, Marchitelli C, Moioli B, 2017. 36th International Society for Animal Genetics Conference, 16-21 July, Dublin, Ireland.
  • The price of looking for something no one wants to talk about: The search, quantification, and cost of genetic diseases in Ireland, J. McClure, P. Flynn, S. Waters, M. Mullen, T. Pabiou, R. Schnabel, J. Taylor, F. Kearney, R. Weld, M. McClure, 2017. 36th International Society for Animal Genetics Conference, 16-21 July, Dublin, Ireland.
  • Using milk based biomarkers to monitor the physiological state of dairy cows in large populations. Hammami H, Colinet F, Bastin C, Grelet C, Vanlierde A, Dehareng F, Gengler N, GplusE Consortium. 2017. 68th Annual Meeting of the EAAP, 28 August-1 September, Tallin, Estonia.
  • Estimation of CH4 emissions from milk MIR spectra using respiration chamber as reference technique. A. Vanlierde, N. Gengler, H. Soyeurt, F. Grandl, M. Kreuzer, B. Kuhla, P. Lund, D. Olijhoek, C. Ferris, F. Dehareng. 2017. 68th Annual Meeting of the EAAP, 28 August-1 September, Tallin Estonia.
  • Breeding Strategies to maximise genetic and economic benefits in the Irish dairy industry. D. Matthews, J.F. Kearney, F.S. Hely, P.R. Amer. 2017. . 68th Annual Meeting of the EAAP, 28 August-1 September, Tallin Estonia.
  • Prediction of energy status of dairy cows using MIR milk spectra. C. Grelet, A. Vanlierde, M. Salavati, M. Hostens, L. Foldager, F. Dehareng, GplusE Consortium. 2017. 68th Annual Meeting of the EAAP, 28 August-1 September, Tallin, Estonia.
  • Genetic analysis of milk MIR predicted blood and milk biomarkers linked to the physiological status. Hammami H, Colinet F G, Bastin C, Grelet C, Vanlierde A, Dehareng F, Gengler N, GplusE consortium. 2017. 68th Annual Meeting of the EAAP, 28 August-1 September, Tallin, Estonia.
  • Random forests prediction of blood metabolic clusters by milk metabolites and enzymes in dairy cows. L. Foldager, GPlusE Consortium, 2017. 68th Annual Meeting of the EAAP, 28 August-1 September, Tallin Estonia.
  • Use of metabolic clusters predicted by milk metabolites and enzymes to identify potential risk cows. M.T. Sørensen, GPlusE Consortium, 2017. 68th Annual Meeting of the EAAP, 28 August-1 September, Tallin Estonia.
  • Exploratory classification of multiparous dairy cows based on fertility related phenotypes. Salavati M, GplusE consortium. 2017. 68th Annual Meeting of the EAAP, 28 August-1 September, Tallin, Estonia.
  • Investigating metabolic phenotypes in multiparous dairy cows by component analysis and clustering. Salavati M, GplusE consortium. 2017. 68th Annual Meeting of the EAAP, 28 August-1 September, Tallin, Estonia.

2016

  • BovineMine: A bovine genome data mining warehouse. C.G. Elsik, D.R. Unni, A. Tayal, C.M. Diesh, D.E. Hagen. 2016.  International Society of Animal Genetics Conference, 23-27 July, Salt Lake City, UT, USA. Abstract: P1038. Journal of Animal Science 94:33.
  • Going beyond current limits in defining and using milk infrared spectra based phenotypes. N. Gengler, H. Hammami, A. Lainé. 67th Annual Meeting of the EAAP, 29 August -1 September, Belfast, UK.
  • Potential for novel glycan measurements in milk as biomarker phenotypes for dairy traits. A. Santoro, J. Vandepitte, M. Hostens, F. Carter, E. Matthews, R.O’Flaherty, W. Waegeman, A.G. Fahey, K. Hermans, C. Ferris, M. Bell, M.T. Sorensen, J. Höglund, P.M. Rudd, M.A. Crowe. 2016. 67th Annual Meeting of the EAAP, 29 August-1 September, Belfast, UK.
  • Potential of milk MIR spectra to develop new health phenotypes for dairy cows in the GplusE project. A. Vanlierde, C. Grelet, N. Gengler, C. Ferris, M.T. Sorensen, J. Höglund, F. Carter, A. Santoro, K. Hermans, M. Hostens, P. Dardenne, F. Dehareng. 2016. 67th Annual Meeting of the EAAP, 29 August-1 September, Belfast, UK
  • Potential for novel metabolite measurements in milk as biomarker phenotypes for dairy traits. J. Höglund, M.T. Sorensen, T. Larsen, L. Foldager, C. Ferris, M. Bell, F. Carter, A. Santoro, M. Crowe, K.L. Ingvartsen. 2016. 67th Annual Meeting of the EAAP, 29 August-1 September, Belfast, UK.
  • Dairy reproduction – the future. MA Crowe, M Hostens, G Opsomer. 2016. The 29th World Buiatrics Congress, 3-8 July, Dublin, Ireland.

2015

  • Do milk spectrometry phenotypes have a role to play in dairy fertility and health programs?. C Bastin, L Theron, A Laine, N Gengler. 2015. Interbull Annual Meeting & ADSA – ASAS Joint Annual Meeting, 9-11 July, Orlando, Florida, USA.
  • On the use of novel phenotypes as predictors of difficult-to-record traits in breeding programs. C. Bastin, F. Colinet, F. Dehareng, C. Grelet, H. Hammami, H. Soyeurt, A. Vanlierde, M.L. Vanrobays, N. Gengler. 2015. 66th Annual Meeting of the EAAP, 31 August-4 September, Warsaw, Poland.
  • Phenotypic interrelationships between parameters predominantly in milk – the GplusE project. J. K. Höglund, M.T. Sørensen, K.L. Ingvartsen. 2015. 66th Annual Meeting of the EAAP, 31 August-4 September, Warsaw, Poland.
  • Overview of possibilities and challenges of the use of infrared spectrometry in cattle breeding. N. Gengler, H. Soyeurt, F. Dehareng, C. Bastin, F. Colinet, H. Hammami, P. Dardenne. 2015. 66th Annual Meeting of the EAAP, 31 August-4 September, Warsaw, Poland.
  • Capitalizing on fine milk composition for breeding and management of dairy cows – Symposium review paper. N. Gengler, H. Soyeurt, F. Dehareng, C. Bastin, F. Colinet, H. Hammami, M.-L. Vanrobays, A. Lainé, S. Vanderick,  C. Grelet, A. Vanlierde, E. Froidmont, P. Dardenne. 2015. ADSA-ASAS Joint Annual Meeting, 12-16 July, Orlando , Florida, USA.

 Other abstracts

2018

  • Biomarkers del latte per la valutazione dello stato sanitaria della mammilla in vacche ad elevate produzione. C Marchitelli, 2018. Analytica, 14-15 March, Rome, Italy.

2017

  • Targeted combination of estimated breeding values for lower accuracy mid-infrared biomarkers increases their usefulness in genetic evaluation of dairy cattle. N. Gengler, GplusE consortium, 2017. ICAR technical meeting, 14-16 June, Edinburgh, UK.
  • Prediction of energy status of dairy cows using MIR milk spectra. C. Grelet, A. Vanlierde, M. Salavati, M. Hostens, L. Foldager, F. Dehareng, GplusE Consortium. 2017. ICAR technical meeting, 14-16 June, Edinburgh, UK.