Circular farming and its impact on animal genetics, animal recording of data and cattle / herd management

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