ICAR Technical Series #26

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

Proceedings of the 45th ICAR Conference held in Montreal, Canada, from 30 May to 3 June 2022 , 26-30 April 2021
Editors: A.-M. Christen, D. Lefebvre, F. Miglior, R. Cantin, M. Burke, and C. Mosconi
Published in November 2022

 

    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

ICAR, Arthur van Schendelstraat 650, 3511 MJ Utrecht, The Netherlands - Email: icar@icar.org