Abstracts and presentations Edinburgh 2017
The page contains the Abstracts and the Presentations of the 41st ICAR Conference held in Edinburgh (UK), 14-16 June 2017.
The Proceedings of the Conference, entitled “Big ideas for big data”, are available here. The Proceedings have been published within the ICAR Technical Series (ISSN: 1563-2504; ISBN: 92-95014-18-9)
WEDNESDAY 14 JUNE 2017
- ICAR General Assembly
- Local host welcome session; Gwyn Jones – Chairman AHDB Dairy; Professor Wayne Powell – Principal and Chief Executive of SRUC Gene editing farmed livestock – Chris Proudfoot
Plenary 1 – Legal implications of data provision services – Chaired by Brian Wickham
- Data protection aspects by merging cattle data of various origins
R. Knyrim, E. Dolamic, M. Mayerhofer, M. Koblmüller, J. Perner, R. Janacek, G. Schoder, F. Gstöttinger, R. Weissensteiner, B. Fürst-Waltl, M. Schagerl, H. Eder, C. Egger-Danner
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- A computerized consent management tool for breeders: why, how?
B. Balvay, L. Journaux
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- A Central Database for the Australian Dairy Industry
S. Jenkins, T. Francis
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- Smart Dairy Farming 3.0: multiplying innovations on the farmyard
B. van’t Land, G. Smeenk, H. Lucas, A. Lamers
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Session 1 Robots, Sensors and ICAR – Chaired by Dave Ross
Automating the dairy farmer? Understanding the barriers to uptake and use of precision technology in dairy systems
D. McConnell |
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Use of daily robotic progesterone data for improving fertility traits in Finnish Ayrshire
J. Häggman, J. Christensen, J. Juga |
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Collecting milking speed data as part of official milk recording
R.H. Fourdraine, H. Adams, A. Coburn |
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bjective carcass measurement to improve lean meat yield and eating quality in Australian beef, sheep and pork
D. Brown, D. Pethick, P. McGilchrist, C. Ruberg, W. Pitchford, R. Apps, G. Gardner |
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Towards a robust protocol for enteric methane measurements using a hand held Laser Methane Detector in Ruminants
T. Bruder, B. Rouille, T. Yan, M. Chagunda |
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Sharing data through an API platform API AGRO
E. Rehben, B. Balvay, T. Haezebrouck |
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Manufacturers’ Showcase and carry-over effects – Chaired by Steven Sievert
- Milk sample carry over in the field identifying and resolving the challenges
J. Frankfort
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- Practical Considerations to Reduce Carry-Over in Design of Recording and Sampling Devices
J. Baines
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- The new CombiFoss™ 7 DC Differential Somatic Cell Count and other Advancements in Milk Testing
D. Schwarz
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- Employing high resolution big data for predictive modelling in precision dairy farming
G. Katz
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- Evaluation of a new qPCR test to specify reasons for total bacterial count in bulk tank milk
S. Sigurdsson, L.Olesen, A. Pedersen, J. Katholm
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- Update from IDEXX: Assessing the impact of carry-over in routine DHI milk samples when offering additional testing services (Pregnancy, Johne’s, Mastitis etc) through DHI laboratories
H. Pearse
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- Update from Bentley Instruments: Latest innovations for the monitoring of milk hygienic quality, methods automation and standardization
P. Broutin
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- Practical applications of fatty acid data for the improvement of dairy cattle production and prevention of health issues in transition cows
W. Beukema, D. Barbano, R. Grant, H. M. Dann
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THURSDAY 15 JUNE 2017
Plenary 2 – The future of ICAR under alternative phenotyping strategies – Chaired by Mike Coffey
- Delivering value added services to a diverse customer base
A. Coburn
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- Agrimetrics Data Platform Harnessing and merging big data
D. Flanders, M. Coffey
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- Debate with audience participation on Plenary 2 topic Chaired by M. Coffey
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Session 3 – Integrating data to provide added value services – topping up from other data sources – Chaired by Eileen Wall
- Predict, Prescribe, Perform: integrating traditional and new data sources to enable Smart Herd Management
S. van der Beek, H. Knijn, D. Zouari
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- The DataGene Herd Test Dashboard
T. Francis, M. Humphris, R. Morris, T. Sargent, R. Shephard
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- Genetic evaluation for claw health traits as part of the integrated system for health monitoring in German Holstein dairy cattle
K. Stock, H. Swalve, R. Schafberg, V. Müller-Rätz, F. Reinhardt
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- GenoEx Update
B. van Doormaal
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- Cow Own Worth synergising data to provide a new tool to aid in culling decisions in seasonal dairy herds
M. Kelleher, D.P. Berry, P.R. Amer, A. Cromie, R. Evans
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- Association between milk fatty acids in early lactation and subsequent reproductive performance of modern high-yielding dairy cows
S. Jorjong, G. Opsomer, J. Chen, A. T. M. van Knegsel, B. Kemp, V. Fievez
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Session 4 – Impact of genomic services on performance recording organisations – Chaired by Brian van Doormaal
- Possible principles for breed association models in the genomics era, with reference to beef cattle and sheep breeds
R. Banks
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- Data collection methods used in the Beef Data and Genomics Programme (BDGP) and the development of Restful API’s for recording herd data
C. Vigors
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- A Star Tech, The Final Front-MIR: Estimated breeding values for mid-infrared derived predictions of energy traits in dairy cows
S. Smith, V. Hicks, M. Coffey, M. Winters, E Wall
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- Implementation of genomic selection in small populations – Croatian case
M. Špehar, Z. Ivkić, M. Dražić, Z. Barać
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- Designing a reference population to accelerate genetic gains for novel traits in Canadian Holstein
F. Miglior, L. Brito, P. Martin, J. Jamrozik, F. S. Schenke2, A. Canovas, X. Zhao, C. F. Baes
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- Interbeef Update
A. Cromie
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Session 5 – Methods to gather new phenotypes – Chaired by Roel Veerkamp
- Prediction of energy status of dairy cows using MIR milk spectra
C. Grelet, A. Vanlierde, M. Salavati, Hostens, L. Foldager, F. Dehareng, J. Katholm
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- Body weight prediction and genetic parameter estimation based on type traits in Italian Holstein cows
R. Finocchiaro, J. van Kaam, M.Marusi, M. Cassandro
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- Lactose in milk – How can lactose concentration data be beneficial in management and breeding?
P. Løvendahl, M. Riis Weisbjerg
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- Individual methane prediction from milk MIR spectra, across multiple breeds, lactation stages, parities and country-specific dairy farming systems
A. Vanlierde, N. Gengler, H. Soyeurt, C. Martin, E. Lewis, F. Grandl, M. Kreuzer, B. Kuhla, P. Lund, C. Ferris, C. Bertozzi, F. Dehareng
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- Targeted combination of estimated breeding values for lower accuracy mid-infrared biomarkers increases their usefulness in genetic evaluation of dairy cattle
N. Gengler, GplusE Consortium
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- Genetic analyses of ketosis and a newly developed risk indicator in Fleckvieh, Braunvieh and German Holstein
H. Hamann, A. Werner, L. Dale, P. Herold
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- Collection and use of new phenotypes in Germany
T. Hauck
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- Effectiveness of mid infrared spectroscopy to predict milk phosphorus content
M. Gelé, L. Brun-Lafleur, A. Boudon, P. Gaignon, T. Le Mouël, C. Hurtaud
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Technical Tour #1 – Visit to the milk analysis laboratories (NMR – NML)
