ICAR Technical Series #28

ISSN: 1563-2504

ISBN: 978-92-95014-24-4

Sustainable livestock production systems in a new era

Bled, Slovenia, 19-24 May 2024

Editors: M. Klopčič, S. Orlandini and C. Mosconi (Eds)

Download whole issue

Single contributions

  1. SiallSCM: a nation-wide tool for milking monitoring to enhance efficiency and welfare of Italian dairy animals
    L. Pascarella,, C. Melilli , M.P.G. Rezende, M. Fioretti and R.. Negrini,
  2. The Commercial Beef Value (CBV) encourages the adoption of sustainable and profitable practices in beef production
    M. Kelleher, C. Daly, K. Downing, R. Evans and J. McCarthy
  3. HeiferHub – A decision support tool to forecast sales of beef calves and future heifer replacements
    H. Fourdraine and J.S. Clay
  4. Optimization of dairy herd replacements combining conventional, sexed and beef semen in mating programs
    V. Ferrari,, M. Marusi, M. Penasa, J.B.C.H.M. van Kaam, R. Finocchiaro and M. Cassandro,
  5. Slovenian dairy farmers’ view on breeding goals
    A. Ule, K. Erjavec and M. Klopčič
  6. How data can have a big impact on small farms
    T. Ammerlaan – Sieperda
  7. Comparing the milking behaviour of primiparous vs. multiparous Holstein and Jersey cows in an automatic batch milking system
    P. Munoz-Boettcher, N. Rodriguez, I. Klaas, J. Velez and P Pinedo
  8. Stakeholder engagement to support the development of next generation decision support tools
    E. Newton, and L.C. Monks,
  9. New algorithm to plan easier and faster weighing for French breeders and technicians
    A. Delpeuch, M. Legris, G. Augier, L. Jeannot, D. Delgoulet, M. Le Hung and L. Griffon
  10. International benchmarking of technical data from Dairy farmers
     J. van der Beek
  11. AgNav – a tool for putting climate action planning in farmers’ hands
    M. Lynch, P. Fenton. J. Herron, D. O’Brien, E. Murphy and M. Houlihan
  12. The reality of on-farm hardware when providing tools of the future
    J. van der Noord
  13. A tool to identify cows eligible for Selective Dry Cow Therapy (SDCT)
    M. Fioretti, L. Pascarella,, C. Melilli, F. Luisi, and R. Negrini,
  14. Association of individual cow milk fatty acid proportion and variance with milk production
    J. Caputo, A.M. Miles, J. Mattison, S.J. Sievert, Xiao-Lin Wu, R.L. Baldwin VI, J. Burchard and J. Dürr
  15. Predicting glutamate concentration in milk using mid-infrared spectrometry for routine detection of energy-deficient cows
    M. El Jabri, A. Leduc,,, M. Boutinaud, F. Le Provost, A. Fischer, C. Leroux, J. Pires and M. Gelé
  16. FeMIR: MIR Spectral predictions for feed and energy efficiency. Practical Application
     M. Dale, A. Werner, C. Natterer, eMissionCow, ReMissionDairy, E.J.P. Strang, A. Al Baqain, K. Drössler and J. Bieger
  17. Predicting the likelihood of conception to first insemination using milk mid-infrared spectroscopy: a model for FOSS instrument
    N. Ho, A.J. Chamberlain,, M. Haile-Mariam, and J.E. Pryce,
  18. Daily standardization of milk mid-infrared spectra in a comprehensive regression model framework considering animal related data
    A. Mensching, J. Braunleder, E. Bohlsen, S. Schierenbeck and R. Reents
  19. Predicting dairy cattle heat stress indicators using machine learning and mid infrared spectral data
    M. Dale, E.J.P. Strang, P. Lemal, M. Jattiot, A. Werner, HoliCow Consortium, ResKuh Consortium, H. Amamou, N. Gengler and H. Soyeurt
  20. Investigating the impact of heat stress and subsequent recovery on fatty acid profiles in bovine milk
    A. Tu, M.K. Yang, Y.H. Yeh, J.W. Shiau, J.F. Huang and Y.H. Chen
  21. From milk recorder to bulk tank: understanding factors affecting consistency in fat and protein reporting
    M. Thompson and D.P Berry
  22. Analysis of factors affecting daily milk yields: an initial case study in an automatic thrice-milking farm
    L. Wu, M.J. Caputo, G.R. Wiggans, H.D. Norman, A.M. Miles, C.P. Van Tassell, R.L. Baldwin VI, S. Sievert, J. Mattison, J. Burchard and J. Dürr
  23. Assessing the impact of automatic milking systems on milk free fatty acid content in Taiwan
    H. Yeh, M.K. Yang, Y.H. Chen, J.F. Huang, J.W. Shiau and P.A. Tu
  24. DecisiveDry – Decision support for proper use of Selective Dry Cow Therapy while enhancing dairy sustainability
    S. Clay and R.H. Fourdraine
  25. Dry-off treatment of dairy-cows : methods to guide targeted antimicrobial use
    W. Obritzhauser, S. Kuchling, O. Alber, C.L. Firth, C. Schleicher, K. Fuchs, K. Linke and C. Egger-Danner
  26. The effect of different brands of automatic milking systems on bulk tank milk bacterial and somatic cell counts in dairy farms in Taiwan
    H. Liao, L.Y. Chen, S.H. Wang, J.W. Shiau and J.F. Huang
  27. Comparative dynamics of milk fatty acids for primiparous and multiparous Holstein cows in early lactation
    H. Chen, M.K. Yang, Y.H. Yeh, J.W. Shiau, J.F. Huang and PA. Tu
  28. Transition Management Index: a new tool to assess the transition period success
     E. Santschi, B. Mion, L. Fadul, D. Warner, A. Fleming, R. Lacroix, R. Moore, and G. Bisson
  29. Evolution of mature size, mature production, and the relative maturity and performance during the first two lactations of DHI-registered Holsteins in Canada
    R. Molano, R.K. Moore and D.E. Santschi
  30. Application of machine learning methods to control the milk samples analysis results reliability
    V. Rukin, S.I. Sudarkina, M.S. Krutkinaand E.V. Kamaldinov
  31. ResKuh: development of tools, diagnostics and recommendations for better herd management
    J. Bieger, E.J.P. Strang, A. Al Baqain, C. Eck, M. Aresi, L. Clarys, K. Drössler and L.M. Dale
  32. Assessing the impact of automatic milking systems on milk free fatty acid content in Taiwan
    H. Yeh, M.K. Yang, Y.H. Chen, J F. Huang, J.W. Shiau and P.A. Tu
  33. Environmental impact assessment of milk production: is a simplified tool possible?
    M. Zucali, G. Gislon, V. Ferrari, M. Marusi, A. Sandrucci, A. Tamburini, L. Bava, R. Finocchiaro and M. Cassandro
  34. Breeding for resistance to gastrointestinal nematodes in French dairy sheep: towards an increase in resilience and sustainability of sheep dairying
    M. Astruc, F. Fidelle, C. André, C. Grisez, L. Bordes, S. Jouffroy, and P. Jacquiet
  35. Introduction of a genetic evaluation for longevity in Tyrol Mountain sheep
    B. Fuerst-Waltl and C. Fuerst
  36. Breeding dairy goats for organic farming – sustainable and animal-friendly
    P.  Herold, A. Lange, M.-R. Wolber, G.M. Seyfang and H. Hamann
  37. Standard operating procedures for efficient management of small ruminant farms
    G. Arsenos, S. Vouraki,, V. Papanikolopoulou, A. Argyriadou, G. Batikas, A.M. Iatrou, V. Fotiadou, P.D. Carvalho and S. Priskas
  38. Conformation recording as auxiliary trait for functionality and fitness in dairy goats
    P. Herold, A. Lange, M. Simčič, B. Fuerst-Waltl, J. Stoeckl, R. Taferner, V. Clément, A. Bailly, M. Sanchez, J. Caballero-Villalobos, C. Iglesias Pastrana, E. Wallin, I.A. Boman, M. Valencia Posadas, J. Conington and T. Neuenschwander
  39. Assessment of Mediterranean buffalo lactation curves shape using lactation models
    L. Trapanese, N. Pasquino, A. Salzano, and M. Hostens,
  40. Early detection of multifetal pregnancies in Alpine Goats using pregnancy-associated glycoprotein (PAG) concentrations in milk
    T. Chen, M.K. Yang, Y.H. Yeh, Y.H. Chen, J.W. Shiau, J.F. Huang and P.A. Tu
  41. The estimation of variance components for litter size in two Slovenian sheep breeds
    G. Šen, M. Bizjak and M. Simčič
  42. International approach to reduce greenhouse gas emissions from sheep
    J. Conington, N. Lambe, F. Tortereau, F. McGovern, E. Navajas, I. De Barbieri, G. Ciappesoni, J. Jakobsen, E. Smith, J. Yates, M McCleod, Q. Le Graverand, K. McDermott, G. Steinheim, B. Aspeholen Aby, I. Dønnem, N. McHugh, L. Farrell, C. Marie-Etancelin, P. Johnson, D Brown and S. Rowe
  43. Developing livestock breeding strategies for enteric methane mitigation in developing countries – the case of Latin America
    A. Navajas, J.M. Alvarez, S. Munilla,, G. Ciappesoni, V.E. Vega-Murillo, R.J.C. Cantet, R. Calderón-Chagoya, M. Montaño-Bermúdez and A. Berndt
  44. Milk cell transcriptome opens a new dimension in the mammary gland biology research
    M. Zorc and P. Dovc
  45. Unlocking genetic potential: The national genotyping program for Ireland’s cattle herd
    M. Waters, K. O’Connell, K. Downing, K. McDermott, C. Vigors, T. Browne, E. Fitzgerald, D. Matthews and R. O’Kelly
  46. Opportunities and obstacles of the use of genomic data in sheep breeding; large versus small populations
    M. Špehar, J.M. Astruc, J. Ramljak and A. Kasap
  47. Estimating the effect of kappa-casein genotype on milk coagulation properties in Israeli Holstein cows
    Y. Lavon, J.I. Weller, C. Cohen, Y. Zeron and E. Ezra
  48. Genetic and genomic evaluations of quantitative milking speed phenotypes
    M. Miles, J.L. Hutchison, S. Toghiani, J.R. O’Connell, R.H. Fourdraine, P.M. Van Raden, K.L. Parker Gaddis, S. Sievert, S. Eaglen, J. Bewley and J.W. Dürr
  49. Igenity® BeefxDairy: A genomic tool for identifying genetic merit of Beef on Dairy cross calves
    R. Tait Jr., V. Pedrosa, S. Smith and J. Qiu
  50. Design of a medium density chip (microarray) for the genetic management of Pura Raza Española horses and related breeds
    A. Encina; M. Valera, N. Laseca, A. Rodríguez; S. Demyda; D.I. Perdomo‑González, P.J. Azor, A. Gil, M. Ripollés, G. Anaya, I. González, C. Medina, M.J. Sánchez-Guerrero, J. Poyato, A. Molina
  51. Improving animal health and welfare by using sensor data in herd management and dairy cattle breeding – a joint initiative of ICAR and IDF
    C. Egger-Danner, I. Klaas, L. F. Brito, K. Schodll, J. M. Bewley, V. Cabrera, M. Haskell, M. Iwersen, B. Heringstad, K. F. Stock, A. Stygar, R. van der Linde, M. Hostens, N. Charfeddine, N. Gengler and E. Vasseur
  52. A Gigacow example, weather data in longitudinal studies on heat stress
    T. Klingstrom, J.I. Ohlsson, P. Ask-Gullstrand, Lena-Mari Tamminen and D.J. de Koning
  53. Performance monitoring in the cattle sector innovates with 3D imagery
    T. Dechaux, A. Lebreton, Y. Do, M. El Jabri, L. Delattre, C. Gillé-Perrie, C. Allain and M. Bruyas
  54. HappyFeet: Hoof Health Project in Italian Holstein cattle
    M. Marusi, F. Testori, L. Benzoni, R. Finocchiaro and M. Cassandro
  55. Body Conditions Scoring: a first proposal for recommendations for recording and use for herd management, genetic improvement and welfare assessment
    A. Gyawali, C. Egger-Danner and N. Gengler
  56. Incorporating genetic information about methane intothe Dutch Annual Nutrient Cycling Assessment
    I.V. Manzanilla-Pech, B. Gredler-Grandl, M. de Haan, H. van Laar, N. Meijer, A.E. van Breukelen, G. de Jong, and R.F. Veerkamp .
  57. Machine learning for predicting environmental impacts inintensive livestock farming, overcoming data challenges
    L. Foschi, D. Pennino, M. Marconi, M. Barbanera, G. Grossi, F. Cesarini, C. Rossi, L. Bava, A. Vitali and N. Lacetera
  58. Towards breeding for lower enteric methane emissions of dairy cows in the Netherlands
    E. van Breukelen, M.N. Aldridge, Y. de Haas, C. Schrooten, J.M.L Heck, M.H.P.W. Visker and R.F. Veerkamp
  59. A holistic approach for monitoring the environmental sustainability of the Italian Holstein cattle population
    L. Benzoni, R. Finocchiaro, G. Visentin, M. Dorigo, F. Tiezzi, M. Marusi, J. Layton, A. Bracchi, G. Bonacina , M. Zucali , G. Gislon and M. Cassandro
  60. Data collection and preparation for genetic analysis of methane emissions in Danish dairy cattle
    M. Villumsen, P. Løvendahl, V. Milkevych R. Krogh, H. Schneider, M. Bjerring and G. Sahana
  61. Validation of a previously developed enteric methane emission prediction model using individual cow milk mid-infrared spectra in Ireland
    M. Frizzarin, B. Lahart and D.P. Berry
  62. Predicting methane emissions of Australian dairy cows using mid-infrared spectroscopy from milk samples
    N. Ho, F. Almasi, L.C. Marret, S.R.O. Williams, J.L. Jacobs and J.E. Pryce
  63. Reducing dairy cattle enteric methane emissions using rumen metagenome
    J. Sepulveda, O. González-Recio, A.J. Chamberlain, B.G. Cocks, J. Wang, C.P. Prowse-Wilkins,,, M. Khansefid, R. Xiang,, L.C. Marett,, S.R.O. Williams, J.L. Jacobs,, A. García-Rodríguez, J.A. Jiménez-Montero and J.E. Pryce
  64. The Swiss way of breeding dairy cattle for reduced methane: CH4COW
    B. Bapst, T.F.-O. Neuenschwander and A. Butty
  65. breed4green: Recording of new phenotypes for methane emission and feed efficiency in Austrian dairy cattle
    K. Linke, C. Schmid, A. Köck, F.J. Auer, F. Steininger, T. Guggenberger, B. Fuerst-Waltl, J. Sölkner, W. Zollitsch and C. Egger-Danner
  66. Influence of housing system and season on methane and carbon dioxide concentrations in a dairy cattle barn
    M. Bric, M. Podgornik Milosavljević, T. Perčič, S. Rogina and M. Klopčič
  67. Phenotyping sheep in a portable accumulation chamber and using devices with different accuracies measured the same methane trait
    N. Aldridge, D.J. Brown, P.T. Fitzgerald, E.H. Clayton, A. Donaldson, V.H. Oddy and J.H. van der Werf
  68. Greenhouse gas emission intensity of milk production in three Slovenian sheep breeds
    M. Bizjak and A. Cividini
  69. Methane phenotyping using different techniques and estimates of parameters for the Nordic Red cattle in Finland
    E. Negussie, A.R. Bayat, T. Stefanski, A. Chegini, and M. H. Lidauer
  70. Selection of cows at risk of subclinical ketosis as part of the milk recording of dairy cattle in Poland in 2014-2022
    J. Kwaśniewska
  71. Carcass traits of Holstein, Simmental and Brown Swiss calves, bulls and heifers and their crossbreeds with Charolais, Limousin, and Belgian Blue in Slovenia
    M. Voljč, M. Klopčič and S. Žgur