ICAR Technical Series #25
Circular farming and its impact on animal genetics, animal recording of data and cattle / herd management. Proceedings of the 44th ICAR Conference virtually held from Leeuwarden, NL, 26-30 April 2021
Editors: G. de Jong, K. de Koning, H. van den Bijgaart. M. Burke and C. Mosconi
September 2021
The whole issue containing the Proceedings is available here, while the single manuscripts that compose the Proceedings are listed hereby:
- Development of a tail scoring as health indicator for dairy cows
S Meier, K Abel and PV Kremer-Rücker - Development and implementation of an on-farm self‑monitoring tool to promote welfare in dairy cows in northern Germany
H Lehrke,, J Brinkmann, H Kahle, O Lamp and H Rowehlt - The intersection of on-farm animal welfare evaluation and technology integration as the future of animal‑based indicators for animal welfare measurement: an example from the United States
JS Jonker and EE Yeiser-Stepp - Towards secure digital farming: security model and risks associated to machine learning
AB Diallo, S Gambs, MO Killijia and H Lardé - Monitoring fattening pig’s behaviour by RFID registrations
RM de Mol, PH Hogewer, RE van Genugten-Voand JB van der Fels - Atypical spectra screening: applications for monitoring infrared instruments and model predictions
L Spiess - Beta-hydroxybutyrate and non-esterified fatty acids prediction using milk Fourier-transform infrared spectroscopy
E Walleser, JF Mandujano Reyes, K Ankla, M Höltershinke , P Hertel-Boehnk and D Döpfe - Implementation of the new certified reference material for somatic cell counting in milk
D Schwarz and V Tzeneva - How can cow-individual sensor data, national data and drone images improve our understanding of resilience
C Kamphuis, W Ouweltjes, M Poppe, CA Mücher and Y de Haas - RZ€ – The new German total merit index expressing breeding impact in Euro
S Rensing, S Kipp and H Alkhoder - Squaring the bovine circle – An Irish perspective
R Evans, S Ring,T Pabiou, D Berry and A Cromie - Improving dairy feed efficiency, sustainability, and profitability by impacting farmer’s breeding and culling decisions
MJ Van de Haar, RJ Tempelman, JE Koltes, R Appuhamy, HM White, KA Weigel, R Baldwin, P Van Raden, F Peñagaricano, J Santos, JW Durr, E Nicolazzi, J F Burchard and K L Parker Gaddis - Differences in milk composition associated with enteric methane emissions
TP Bilton, SM Hickey, AJ Jonker, W Bain, E Waller, M Hess, G Pile, M Agnew, S Muetzel, P Reid, PH Janssen, JC McEwan and SJ Rowe - Minimization of fertility economical loss by MIR based energy balance prediction
LM Dale, A Al Baqain,K Drössler, J Bieger, H Spiekers, F Onken and A Werner - Enhancing metabolic monitoring during early lactation using NEFA in blood as additional reference indicator
M Kammer, M Tremblay,, D Döpfer, S Plattner, S Gruber, R Mansfeld, S Hachenberg, C Baumgartner and J Duda - Chip-size, low cost near infrared sensors for milk analysis with lab grade performance
M Medhat, M Said, T Elarabi, A Abd El-Fadeel, W Sorour and B George - Interpretation of residual feed intake by phenotypic recursiveness in dairy cattle: A simulation study
X-L Wu,, KL Parker Gaddis, HD Norman, J Burchard, EL Nicolazzi, EE Connor, JB Cole and J Durr - Identification of cows and individual feed intake records using a 3D camera system in commercial farms
J Lassen, J R Thomasen and S Borchersen - Towards secure digital farming: security model and risks associated to machine learning
AB Diallo , S Gambs, MO Killijian and H Lardé - SMARTER – Which novel traits to improve feed efficiency?
F Tortereau, C Marie-Etancelin, P Frutos, J Conington, G Arsenos, I De Barbieri, J H Jakobsen, C Moreno-Romieux, JJ Arranz - Feasibility of a genomic selection approach for gastro-intestinal nematodes resistance based on single-step evaluation and a female informative population in Sarda breed sheep
S Salaris, S Casu, MG Usai, A Scala and A Carta - Selection tools to benefit from international cooperation in small ruminants: a comprehensive work package of the SMARTER project
JM Astruc, L Brito,, B Bapst, G Bruni, M Burke, G Ciappesoni, J Conington, C Garcia-Baccino, H Larroque, A Legarra, A O’Brien, J Posta, C Robert-Granié, M Teissier, E Ugarte, C Moreno-Romieux, D Berry - Reducing environmental impact in the Dutch dairy sector with ANCA-tool
MHA de Haan and J Verloop - Practical tools for assessing and improving a farm’s enviornmental footprint: an example from the United States
N Ayache - A new approach to predicting the fat content in 2x milking
J Kyntäjä and S Nokka - Analysis of the accuracy of lactation qualification methods and use of weighting factors for genetic evaluation
X Bourrigan, R Vallée and G Augier - Practical application of ketosis and energy deficit milk MIR spectral predictions
LM Dale, K Droessler, F J Auer, M Mayerhofer, A Köck, C Egger-Danner, F Onken, H Spiekers, P Hertel-Böhnke, E Stamer, A Werner - Recording individual real yield in mozzarella cheese in the Italian Mediterranean buffalo population
E Parlato and L Zicarelli - Developing a new selection index for the Italian Mediterranean Buffalo (Bubalus bubalis)
R Negrini, S Biffani, M Fioretti, R Cimmino and M Gómez - Data ownership, privacy, use, sharing and stewardship – The US experience
JW Dürr - iDDEN: An international perspective
Reents, and T. Pekeler - Collecting, integrating, harmonizing and connecting data from dairy farms: the US Dairy Brain project experience
VE Cabrera, L Fadul-Pacheco, S Wangen, T da Silva, F Zhang, RH Fourdraine and J Mattison - An approach to coordinating and encouraging investment in phenotypes
RG Banks - The US Dairy Brain Project: Data integration and data applications for improved farm decision-making
F-Pacheco, L, VE Cabrera, S R Wangen, T da Silva, F Zhang, RH Fourdraine and JM Mattison - Blockchain for the Dutch dairy industry
FH Ruiterkamp - How to run milk recording effectively- case Finland
S Nokka and J Kyntäjä - Performance recording and genetic evaluation of Equus genus
M Špehar, G Polak, A SG Santos, R Mantonvani, E Salimei and K Potocnik - Dairy cows enabling circular production systems
A.E. van Breukele, B.J. Ducro, R.F. Veerkam and R. Hoving - Methane, energy balance and feed efficiency MIR predictions evaluation on dairy cow’s population
LM Dale, A Werner, K Drössler, H Spiekers, P Hertel-Böhnke, E Stamer, B Kuhla, F Onken, S Klein, FK Stock, A Vanlierde - Meta-analysis of some risk factors affecting somatic cell score in dairy cattle
S Grayaa,, M Grayaa, J Bayrem, A Ben Gara and J Detilleux - Development of the first Russian genomic reference database and genomic evaluation results
D Iakovishina, K Maximova, D Nemirich, A Dekin, M Genaev, Y Tavirikov, M Sumtsova, and Y Pekov - “MastiMIR” – A mastitis early warning system based on MIR spectra
M Hoenen, A Werner, EJP Strang, C Lecomte, K Drössler, J Bieger, P Caussanel, S Weidemann, A Marcillet, M Carnevali and LM Dale - Implementation of differential somatic cell count as a new parameter for improved udder health monitoring through routine milk recording
S Kleinhans, G Reimann and D Schwarz
