ICAR Technical Series #26

ISSN: 1563-2504

ISBN: 978-92-95014-22-0

Share. connect. transform. Sharing solutions on digital transformation, animal welfare and environmental sustainability to support global food security

Montreal, 30 May – 3 June 2022

Editors: A.-M. Christen, D. Lefebvre, F. Miglior, R. Cantin, M. Burke, and C. Mosconi

Download whole issue

Single contributions

  1. Update ICAR Feed and Gas Working Group: Guidelines and international collaboration for genetic evaluation
    B. Gredler-Grandl, C. Baes, Y. de Haas, R. Finocchiaro, P. Garnsworthy, N. Krattenmacher, J. Lassen, J. Pryce and R. Veerkamp
  2. Measuring individual carbon dioxide emissions as a proxy for feed efficiency on dairy farms – preliminary results
    I. Fodor, N. Ogink, F. de Jong and Y. de Haas
  3. Modelling metabolic efficiency – Do we need to understand the biological meaning of residual feed intake breeding values?
    M.H. Lidauer, T. Andersen, U.S. Nielsen, E.A. Mäntysaari and G.P. Aamand
  4. Large scale phenotyping of methane for genetic evaluation is possible with ‘Sniffers’
    M.N. Aldridge, A. van Breukelen, R.F. Veerkamp and Y. de Haas
  5. A pipeline for the integration of growth, feed efficiency and greenhouse-gas emission data in Italian Holstein
    F. Tiezzi, R. Finocchiaro, L. Benzoni, G. Invernizzi, J.B.C.H.M. van Kaam, M. Marusi, G. Savoini, R. Bozzi and M. Cassandro
  6. Estimates of genetic parameters for environmental efficiency traits for first lactation Holsteins
    L.S.F. Lopes, K. Houlahan, F.S. Schenkel, D. Tulpan, F. Miglior, M. Sargolzaei, J.E. Koltes and C.F. Baes
  7. Genetic correlation between methane emission and nitrogen use efficiency proxies in Walloon dairy cows
    H. Atashi, Y. Chen, C. Grelet, A. Vanlierde, F. Dehareng, S. Vanderick, H. Soyeurt and N. Gengler
  8. Advanced analytics create insight and supports the Danish dairy farmers
    J. Frandsen, T. Hejgaard Sørensen and L.A. Nielsen
  9. Exchanges of French genetic data are driven by farmer consent managed in a dedicated blockchain
    L. Journaux, L. Duveaux, H. Gilles and S. Picardat
  10. DCPO: The dairy cattle performance ontology, a tool for domain modelling and data analytics
    V. Fuentes, T. Martin, P. Valtchev, A. B. Diallo, R. Lacroix and M. Leduc
  11. Disease risk prediction based on an integrative data-methodological approach in dairy cattle
    J. Lasser, C. Matzhold, C. Egger-Danner, F. Steininger, B. Fuerst-Waltl, T. Wittek and P. Klimek
  12. Making use of dairy herd improvement records and machine learning to i dentify best management strategies
    D. Warner, J. Gunn and D.E. Santschi
  13. Prediction of grass-based diet from indirect traits using milk MIR-based predictors to assess the feeding typology of farms
    H. Soyeurt, C. Gerards, C. Nickmilder, S. Franceshini, F. Dehareng, D. Veselko, Bertozzi, J. Bindelle, N. Gengler, A. Marvuglia, A. Bayram and A. Tedde
  14. Applying fatty acid profiles from bulk tank milk on farm for decision-making support
    D. Warner, R. Lacroix, R. Gervais and D.E. Santschi
  15. Optimize breeding and replacement decisions using milk recording data
    R.H. Fourdraine, J.S. Clay and A. De Vries
  16. Milk fatty acid profiles in early lactation as potential indicators for reproduction success
    D. Warner, L. Fadul-Pacheco, R. Gervais and D.E. Santschi
  17. Using box time indicators to rank cows according to their efficiency in robotic milking systems
    L. Fadul, R. Cue, G. Bisson, R. Moore and R. Lacroix
  18. Automated anomaly detection for milk components and diagnostics in dairy herds
    M. Ayat, G. Bisson, J. Prince, V. Fuentes, D. Warner, D.M. Lefebvre, D.E. Santschi, and R. Lacroix
  19. PHENOD: Phenotyping calves at weaning through automatic D image collection and instantaneous processing
    M. Bruyas, C. Lecomte, C. Allain, A. Lebreton, L. Delattre, J.-M. Delouard, J.-M Gautier, O. Leudet, M. Brochard, P. Salvetti, and L. Griffon
  20. Challenges and opportunities in the use of milk MIR spectra: experiences learned from the OptiMIR and HappyMoo projects and beyond
    N. Gengler, J. Leblois, OptiMIR Consortium and HappyMoo Consortium
  21. An equation based on MIR spectra to explore the genetic determinism of spontaneous lipolysis in dairy cows
    M. Gelé, S. Meurisse, P. Trossat², A. Oudotte², D. Boichard, L. Bernard, C. Hurtaud, A. Barbat and C. Cebo
  22. Predicting body condition score change in early lactating I rish dairy cows using milk mid infrared spectra
    M. Frizzarin, I.C. Gormley, D.P. Berry, and S. McParland
  23. Valorization of milk spectra: data mining of milk infrared spectra to assess transition success
    M. Bahadi, D. Warner, R. Moore, R. Lacroix, R. Cue and D.E. Santschi
  24. Within day variation in milk and blood metrics for hyperketonemic and non-hypoketonemic dairy cows
    C. Seely, J.A.A. McArt and D.M. Barbano
  25. New traits predicted from milk mid-infrared spectra to reduce incidence of subclinical ketosis
    A. Köck, K. Schodl , B. Fuerst-Waltl, H. Schwarzenbacher, L.M. Dale, A. Werner, M. Mayerhofer, F.J. Auer, C. Grelet, J. Sölkner, L. Rienesl, N. Gengler, J. Leblois and C. Egger-Danner
  26. Animal breeding sustainability: the Italian Holstein experience
    L. Benzoni, R. Finocchiaro, G. Niero, G. Invernizzi, G. Savoini, F. Galluzzo and M. Cassandro
  27. Mid-Infrared Analyzers: Herd management milk fatty acid calibration and validation of multiple instruments
    D.M. Barbano, C. Coon and M. Portnoy
  28. The role of recording and evaluating calf traits for improved sustainability
    M.M. Axford, M. Khansefid, A.J. and J.E. Pryce
  29. Using dairy herd improvement data to monitor herd sustainability
    D. Warner, J. Philion, R. Lacroix, D. E. Santschi and S. Adam
  30. Towards new breeding tools in a context of climate change: first results of the RUMIGEN project on new phenotypes for heat tolerance traits
    S. Mattalia, A. Vinet, J. Vandenplas, M.J. Carabaño, C. Diaz, M. Ramon, S. Aguerre, B.C.D. Cuyabano, D. Boichard, E. Pailhoux and H.A. Mulder
  31. Practical experience from the implementation of a new udder health monitoring service through regular DHI testing
    D. Schwarz, G. Witzel, S. Kleinhans and K. Ilves
  32. ICAR member’s needs regarding the use of robots and sensor data
    C. van der Linde and M. Burke
  33. Supporting automatic milking farms in milk recording
    K. Leppikorpi
  34. Embracing new streams of dairy data – how good is good enough?
    J. Mattison and S. Sievert
  35. DataHUB360°, data at the service of breeders
    D. Saunier, J.B. Daviere, T. Decers, T. Aubry and S. Desvois
  36. Magnitude of the reduction in automatically scored body condition from calving to nadir body condition score affects the fertility of Holstein cows
    P. Pinedo, D. Manríquez, J. Azocar, A. De Vries and I. Klaas
  37. Early mastitis detection: Can Lactoferrin evaluation by EU funded project MOLOKO biosensor help?
    P. Bulgarelli, A. Comparelli, F. Marabelli, E. Manobianco, L. Lopez Sanchez, S. Toffanin and J. Peters
  38. Challenges of integration and validation of farm and sensor data for dairy herd management
    K. Schodl, B. Fuerst-Waltl, H. Schwarzenbacher, F. Steininger, M. Suntinger, F. Papst, O. Saukh, L. Lemmens, DDairy-Consortium and C. Egger-Danner
  39. Using precision technology to detect the onset of digital dermatitis in dairy cows
    J. Magana and A.L. Adams Progar
  40. Milk recording in sheep and goat: state of the art using the data from the ICAR on-line yearly survey
    J.M. Astruc, A. Carta, R. Negrini, M. Simcic, M. Spehar, E. Ugarte and C. Mosconi
  41. Wool recording in sheep: results from an ICAR on-line survey
    M. Spehar, M. Antonini, J. Conington, S. McIntyre, D. Brown, M. Simcič, K. McDermott, C. Mosconi and J.M. Astruc
  42. The implementation of the standard lactation length and standard milking length in milk recording of dairy sheep and goats breeds in Slovenia
    M. Bizjak and M. Simcic
  43. Genetic improvement: A fundamental pillar for the canadian sheep industry
    F. Fortin, M. Trottier-Lavoie, A. St-Pierre and F.Schenkel
  44. Animal Identification – New developments and future possibilities
    D. Smith and K. Lane
  45. ADE implementation at iDDEN
    J. Frandsen
  46. Can milk analysis by infrared spectroscopy reveal the welfare status of cows?
    M. Bahadi, D. Warner, A. A. Ismail, D. E. Santschi, D. M. Lefebvre, R. Duggavathi and E. Vasseur
  47. Report on the incidence of selected hereditary disorders in the Polish population of Holstein-Friesian cattle
    M. Gozdek, D. Kamola, A. Prostek and T. Sadkowski
  48. A time-series analysis of milk productivity changes in US dairy states
    M. Li K.F. Reed and V.E. Cabrera
  49. Predicting dairy herd resilience on farms with conventional milking systems
    R.S.C. Rikkers, B. Ducro and C. Kamphuis
  50. Imputation of missing test day milk records and its use in genetic evaluation for milk yield in Mehsana buffaloes
    Sujit Saha, Swapnil Gajjar, Nilesh Nayee, A. Sudhakar, G. Kishore and R.O. Gupta
Envelope

Subscribe to our newsletter

Linkedin

Follow on LinkedIn

X-twitter

Follow on X

EXTRACTS FROM GUIDELINES

CERTIFICATIONS/ACCREDITATIONS

ABOUT ICAR

Copyright © 2025 · ICAR, Arthur van Schendelstraat 650, 3511 MJ Utrecht, The Netherlands