Main Programme 2014

Germany | Berlin | 2014 IDF/ISO 15–20 May | ICAR 19–23 May | Interbull 20–21 May

2014

Main Programme IDF/ISO Analytical Week and ICAR/INTERBULL Conference

Germany | Berlin IDF/ISO 15–20 May | ICAR 19–23 May | Interbull 20–21 May

www.icar2014.de Visit us at:


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Content Welcome

Page 2

Venue

Page 5

Programme Overview

Page 6

General Information

Page 7, 9

Detailed Programmes

Page 11

Technical Tours

Page 30

Abstracts

Page 33

Social Evenings

Page 73

Sponsors and Exhibition Area

Page 74

Notes

Page 77

1


Dear colleagues, dear guests and friends, For the first time ever the ICAR-Interbull Conference is held in conjunction with the IDF-ISO Analytical Week. As representatives of the hosts of this joint conference, the German Cattle Breeders’ Federation ADR and IDF Germany, we are extremely happy that this event is taking place in Berlin. We assure you that we have done our best to stage an event of the highest standard, working closely together with ICAR, its subcommittee Interbull, IDF and ISO. Germany is well known as a dynamic and innovative environment for animal production with constant progress in animal identification, performance and quality testing, breeding value estimation, milk analysis and sampling. We are happy to welcome you, our fellow professionals, qualified speakers and interested stakeholders throughout the world to this top-class event. Berlin is the capital city of Germany with 3.5 million inhabitants. Its rich history and abundance of museums, restaurants, theatres, castles and other cultural treasures make Berlin a remarkable travel destination. So enjoy this great city! And remember, 2014 is exactly 25 years after the peaceful German reunification - a special anniversary to celebrate, together with you! Dear colleagues and friends, we are delighted to welcome you to Berlin!

2

Christian Baumgartner

Manfred Hammel

Josef Hannen

Bianca Lind

Ines Märkle-Coldewey

Folkert Onken

Reinhard Reents

Maria Thielen


© visitBerlin, Foto: Wolfgang Scholvien

3


Programme Overview

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Tru-Test XRS EID Stick Reader

Tru-Test WB Hi Pull-Out Milk Meter

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Venue

Estrel Berlin Sonnenallee 225 12057 Berlin Germany

Conference rooms >C1+2

>C5

>C6

>C7

Registration/Wardrobe Restrooms

>C8

Lift to conference rooms: 30341 30410, 30412 30610, 30612

>B >A Estrel Saal > Exhibition area

Lyon IDF/ISO and ICAR Secretariat

Hotel reception

Straßburg Concierge Speakers preview room

Main entrance

5


Programme Overview

Programme Overview AM

PM

Wednesday, 14 May 2014 IDF MSSG*

IDF MSSG*

Thursday, 15 May 2014 IDF/ISO Opening Session

IDF/ISO Working Groups

IDF/ ISO Working Groups

Friday, 16 May 2014 IDF/ISO Working Groups


Saturday, 17 May 2014 IDF/ISO Scientific Symposium

Sunday, 18 May 2014 ICAR MASC

ICAR Board*

IB Technical Committee*


Monday, 19 May 2014 IDF SC AMDM

IDF SC HMM

IDF SC AMC IDF SC AMAC

IDF SC HMM IDF SC AMC

IDF/ ISO Working Groups


ICAR Board* ICAR Interbeef, Technical Committee, Joao Dürr*

ICAR Animal Identification, SC, Kaivo Ilves*

ICAR Animal Data Exchange, WG, Erik Rehben*

ICAR Animal Data Exchange, WG + Manufactures, Erik Rehben* ICAR Animal Welfare Recording, ICAR Auditors Meeting*

WG, Pierre-Louis Gastinel*

6

IB Steering Committee*



GENERAL INFORMATION Conference venue

Evening

Estrel Berlin Sonnenallee 225 12057 Berlin Germany

Phone: +49 (0) 30 6831-0 Fax: +49 (0) 30 6831-2345

Registration desk Phone: +49 (0) 30 6831-25301 Opening hours: Wednesday, 14 May 2014 Thursday, 15 May 2014 Friday, 16 May 2014 Saturday, 17 May 2014 Sunday, 18 May 2014 Monday, 19 May 2014 Tuesday, 20 May 2014 Wednesday, 21 May 2014 Thursday, 22 May 2014 Friday, 23 May 2014

IDF/ISO Welcome Cocktail

IDF/ISO Exhibitors Showcase

08:00 – 19:00 08:00 – 19:00 08:00 – 19:00 08:00 – 19:00 08:00 – 18:00 08:00 – 19:00 08:00 – 19:00 08:00 – 19:00 08:00 – 19:00 08:00 – 16:00

Speakers preview room

IDF/ISO Gala Evening

The speakers preview room, room Straßburg, will be open at all times during the conference. Please come to the speakers preview room at least one day ahead of your oral presentation. Presentations will be collected and delivered for you to the lecture halls.

IDF/ISO and ICAR Secretariat The secretariat is located in room Lyon.

Language The official language of the congress is English. There will be no translations.

General note

!

In SC and PG meetings only members and announced observers can participate. For assistance please refer to the IDF/ISO secretariat ([email protected]).

Name tags Official conference name tags will be required for admission to all technical sessions, evening functions and the exhibition area. Participants who lose their name tags will have to pay a fee of 50.00 EUR to obtain a replacement tag.

Internet Internet access via Wireless LAN is free of charge in the conference area. SSID: ESTRELNET Login: IDFICAR2014 Password: Berlin

7


Programme Overview

Programme Overview AM

PM

Tuesday, 20 May 2014 IDF SC SA IDF SC AMPAI

IDF MSSG*

ICAR Animal Identification, SC + Manufactures, Kaivo Ilves*

ICAR Interbeef, WG, Brian Wickham*

ICAR Dairy Cattle Milk Recording, Hans Wilmink*

ICAR Artificial insemination and relevant technologies, WG, Gordon Doak*

ICAR Parentage Recording, WG, Suzanne Harding* ICAR Functional Traits, WG, Christa Egger-Danner*

ICAR Functional Traits, WG, Christa Egger-Danner*

Joint meeting of the ICAR working groups on sheep and goats, Zdravko Barac & Jean-Michel Astruc*

ICAR Genetic Analysis, WG, Wim van Haeringen*

ICAR Recording Devices, SC, Martin Burke*

ICAR Recording Devices, SC, Martin Burke*

IB Business Session

ICAR Breed Association, TF, Matt Shaffer*


IB Open Meeting

IB Open Meeting

ICAR/IB Technical Session, Parentage verification and parentage discovery, MS1, Suzanne Harding

Wednesday, 21 May 2014 ICAR General Assembly

ICAR Opening

ICAR Keynote Presentations

ICAR Main Session Carry over/Sample Quality, MS2, Christian Baumgartner & Martin Burke ICAR Open Session, S3, Danuta Radzio & Jorge Lama

IB Open Session

IB Business Session


Thursday, 22 May 2014 ICAR Main Session Functional Traits, MS3, Christa Egger-Danner

Technical Tours (Excursions)

ICAR Dairy Cattle Milk Recording, S1, Hans Wilmink

Friday, 23 May 2014 ICAR Main Session IT, MS4, Neil Petreny ICAR Dairy Sheep and Goats, S2, Jean-Michel Astruc

8

ICAR Presentations of SC, TF ICAR Board plus chairs SC, and WG WG, TF*


GENERAL INFORMATION Evening

Exhibition information The exhibition will be located in the foyer area of Estrel Saal and will be open at all times during the conference. For further details please see page 74.

Host ICAR/IB Welcome Cocktail

German Cattle Breeders’ Federation Arbeitsgemeinschaft Deutscher Rinderzüchter e.V. Adenauerallee 174 53113 Bonn Germany Fon: +49 (0) 228 91447-0 Fax: +49 (0) 228 91447-11 info@ adr-web.de www.adr-web.de

Conference office event lab. GmbH Dufourstrasse 15 04107 Leipzig Germany Fon: +49 (0) 341 24059650 Fax: +49 (0) 341 24059651 [email protected] www.eventlab.org

Main session: Means either joint sessions (e.g. between IB and ICAR) or joint by different ICAR SC and WG. We try to avoid too much overlap with other technical sessions, but this will not always be possible MS1: Currently parentage verification is moving from Microsatellite based approaches to a SNP based system. ISAG and ICAR have set standards to be used for both parentage verification and discovery. A joint session shall bring together the different ICAR groups related to this topic and industry representatives to discuss the implementation.

ICAR Gala Evening

MS2: Unique possibility to discuss this topic with participants of the IDF/ISO Analytical week and experts of the ICAR group. MS3: Functional traits are increasingly important for herd management and breeding.We will continue the successful ICAR Health Data Conference from Aarhus 2013. MS4: The IT sector offers tremendous new options regarding mobile computing, use of on farm data e.g. from biosensors for central analyses and new ways of graphical presentation of complex information. S1: The status on development the new ICAR guidelines for dairy cattle milk recording are presented. A large number of new developments in recording have taken place in the last decade, such as the use of automatic milking and recording systems, data collection and data processing. This session is to get the state of the art in recording and to make recommendations towards ICAR guidelines. * Closed Session

9


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Detailed Programmes Day Time Room Duration

11


Wednesday, 14 May 30610 8:30

IDF MSSG*

Thursday, 15 May Estrel Saal A

Estrel Saal C6

Estrel Saal C7

Estrel Saal C8




S03

A04

C32




P09

A10

C13 C14




S10

A10 cont.

C19



A12

C25

IDF/ISO Opening Session Chairs, deputy chairs and PLs

10:30 11:00

Coffee break

Coffee break

IDF MSSG* cont.

12:30 14:00

Lunch break

Lunch break

IDF MSSG* cont.

15:30 16:00

Coffee break

Coffee break

IDF MSSG* cont.

18:00 18:30 19:30

12

IDF/ISO Welcome Cocktail Please see page 73.


Friday, 16 May Estrel Saal C5

Saturday, 17 May Estrel Saal C6

Estrel Saal C7

Estrel Saal C8




S01 (C11, D06, P06)

P13 P15

C20 C21 IDF/ISO Working Groups

Estrel Saal B

Estrel Saal A

IDF/ISO Scientific Symposium (09:00-11:00)

C23 Coffee break IDF/ISO Working Groups



D06

P06 P05

C11

Coffee break (11:00-11:30)

IDF/ISO Scientific Symposium cont.

Lunch break IDF/ISO Working Groups



D07

S09

C27




D08 D09

S11

C12 C29 C31 C33

(11:30-13:00) Lunch break

Coffee break

IDF/ISO Exhibitors‘ Showcase IDF/ISO Gala Evening

Please see page 73.

13


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Saturday, 17 May After the last two symposia, dealing with safeguarding dairy food safety and the role of standardization including case studies of trade issues, this year´s symposium is focused on the contribution of analytics to safeguard our dairy cows´ health and healthy dairy products. The intention is that IDF/ISO Analytical Week together with ICAR Biennial Congress and INTERBULL are functioning as a melting pot in the background. These combined events attract specialists in the field of analytics as well as experts in “digesting” and applying data to enhance information quality and information density for dairy herd managers in the frame of a health oriented DHI system, which should lead to fruitful interdisciplinary discussions – to the benefit of the dairy farmers.

8:30–13:00 |

Estrelsaal B

IDF/ISO Scientific Symposium: What can analytics contribute to healthy cows and healthy dairy products? 8:30–9:00 |

30min.

Welcome | Registration | Morning tea or coffee 9:00–11:00 |

120min.

Opening Christian Baumgartner (ADR/DLQ) – Introduction to the Scientific Symposium Jaap Evers (IDF) – The role of dairy analytics today – the IDF perspective Udo Folgart (VDM) – Healthy cows for healthy milk (and happy consumers) – Guiding principles of the German dairy sector

Folkert Onken (DLQ) – milchQplus – A national programme to improve udder health based on DHI data

David Barbano (Cornell University) – Diving deeper into raw milk data – Advanced use of

FTIR-spectra

11:00–11:30 |

30min.

Health break 11:30–13:00 |

90min.

RefSysSCC – a joint project of IDF/ISO and ICAR to build up a reference system for somatic cell counting Harrie van den Bijgaart (IDF/ISO/ICAR) – What is a reference system and why do we need it? Silvia Orlandini (IDF/ISO/ICAR) – Current situation of the joint RefSysSCC project – Who? What?

When?

Thomas Berger (IDF/ISO) and Werner Luginbühl (ChemStat) – The implications of new statistical tools to evaluate and compare the analytical performance of laboratories

Summary and adjourn

15


Sunday, 18 May 30610 8:30

10:30 11:00


Monday, 19 May 30612

ICAR MASC

Coffee break


Estrel Saal C6

IDF SC AMC

Estrel Saal C7

Estrel Saal C8

IDF SC AMDM

IDF SC AMAC

IDF SC HMM


Coffee break

ICAR MASC

IDF SC AMC

cont.

cont.

P17

cont.

12:30 14:00

Lunch break


Lunch break

ICAR Board*

IDF SC AMC

IDF SC HMM

cont.

cont.

cont.

15:30 16:00

Coffee break

IB Technical Committee* cont.


P08

Coffee break

ICAR Board*

IDF SC AMC

IDF SC HMM

cont.

cont.

cont.


P08 cont.

18:00

16


Estrel Saal C5

30410

30610

30612

Straßburg

ICAR Animal ICAR Interbeef, ICAR Board* Data Exchange, Technical WG Committee Erik Rehben*

Joao Dürr*

ICAR Animal ICAR Interbeef, ICAR Board* Data Exchange, Technical cont. WG Committee

Erik Rehben* cont.


Joao Dürr* cont.

ICAR Animal ICAR Animal Data Exchange, Identification, WG + SC Kaivo Ilves* Manufactures

IB Steering Committee* cont.

Erik Rehben*

ICAR Animal Welfare Recording WG*

Pierre-Louis Gastinel (13:30-15:30)

Coffee break

ICAR Animal ICAR Animal Data Exchange, Identification, WG + SC Manufactures Kaivo Ilves* Erik Rehben*


ICAR Auditors Meeting*

cont.

cont.

cont.

17


Tuesday, 20 May Estrel Saal C6 8:30

Estrel Saal C7

ICAR Functio- IDF SC SA nal Traits, WG

Estrel Saal C8

IDF SC AMPAI

Christa EggerDanner*

Estrel Saal A

IB Business Session

30410

ICAR Animal Identification, SC + Manufactures Kaivo Ilves*

10:30 11:00

Coffee break

ICAR Functio- IDF SC SA nal Traits, WG Christa EggerDanner* cont.

12:30 14:00

cont.

ICAR Breed As- IB Open sociation, TF Meeting Matt Shaffer*

ICAR Animal Identification, SC + Manufactures Kaivo Ilves* cont.

Lunch break

ICAR Functional Traits, WG Christa EggerDanner* cont.

IDF MSSG*

(Members only)

IB Open Meeting cont.

ICAR Interbeef, WG Brian Wickham*

15:30

Coffee break

Coffee break

16:00

ICAR Functional Traits, WG Christa EggerDanner*

17:30

cont.

Coffee break (16:00-16:30)

ICAR/IB Technical Session: Parentage verification and parentage discovery, MS1 Suzanne Harding

18:00 19:00

ICAR/IB Welcome Cocktail Please see page 73.

18

ICAR Interbeef, WG Brian Wickham* cont.


30412

30341

30610

30612

ICAR Parentage Joint meeting ICAR Recording ICAR Dairy recording, WG of the ICAR WG Devices, SC Cattle Milk Suzanne Harding* Martin Burke* on sheep and Recording Hans Wilmink* goats Zdravko Barac & Jean-Michel Astruc

ICAR Parentage Joint meeting ICAR Recording ICAR Dairy recording, WG of the ICAR WG Devices, SC Cattle Milk Suzanne Harding* Martin Burke* on sheep and Recording Hans Wilmink* goats cont. cont. Zdravko Barac & Jean-Michel Astruc cont.

ICAR Genetic Analysis, WG

Wim van Haeringen*

cont.

ICAR Recording ICAR Artificial Devices, SC insemination Martin Burke* and relevant technologies, cont. WG Gordon Doak*

Coffee break

ICAR Genetic Analysis, WG

Wim van Haeringen* cont.

ICAR Recording ICAR Artificial Devices, SC insemination Martin Burke* and relevant technologies, cont. WG Gordon Doak* cont.

19


20


Tuesday, 20 May Main Sessions

Time Duration

16:30–18:00 |

Estrelsaal A

ICAR/IB Technical Session: Parentage verification and parentage discovery, MS1

Chair: Suzanne Harding

Parentage recording and discovery Overview Suzanne Harding 16:30–16:45 |

15min.

International Genotype Exchange Platform (GENOEX) Joao Dürr 16:45–17:05 |

20min.

Analytical and statistical consideration on the use of the ISAG-ICAR-SNP panel for parentage control, genotyped with the Illumina bead chip technology, exemplified on the German Holstein (HF) population Ekkehard Schütz 17:05–17:25 |

20min.

Application of a custom SNP chip: Microsatellite imputation, parentage SNP imputation, genomic evaluations, and across-breed nation-wide genetic disease prevalence with the International Beef and Dairy SNP chip Matthew McClure 17:25–17:45 |

20min.

Discussion 17:45–18:00 |

15min.

21


Wednesday, 21 May

Wednesday, 21 May Estrel Saal AB 8:30

ICAR General Assembly

Estrel Saal C

30610

10:30–13:10 |

IB Open Session

Estrelsaal AB

ICAR Opening and keynote presentations Chair: Reinhard Reents

Opening

Uffe Lauritsen, ICAR President 10:30–10:35 | 5min.

10:00 10:30 11:00

12:15

Sustainability in the agricultural development of Germany Clemens Neumann, Federal Ministry of Food and Agriculture 10:35–11:00 | 25min.

Coffee break

ICAR Opening (10:30-11:15)

ICAR Keynote Presentations

(11:15-13:00)

Coffee break

Cattle Breeding in Germany

IB Open Session

Bianca Lind, German Cattle Breeders‘ Federation ADR 11:00–11:15 | 15min.

Keynote Presentation I: Animal identification, animal breeding and international trade - the new EU Regulation on Zootechnics

cont.

Photo session 13:10 14:00

15:30

(13:00-13:10) Lunch break

ICAR Main Session Carry over/Sample quality, MS2

Sergio Pavón, EU Commission 11:15–11:50 | 35min.

IB Business Session

Keynote Presentation II: ICAR in a changing environment for animal production Hans Wilmink, CRV 11:50–12:25 |

Christian Baumgartner

Keynote Presentation III: Genotypes are useful for more than genomic evaluation

Coffee break 16:00

ICAR Main Session Carry over/Sample quality, MS2

Martin Burke cont.

17:30 18:00

22

35min.

ICAR Open Session, S3

Danuta Radzio & Jorge Lama


Paul VanRaden, USDA 12:25–13:00 | 35min.

Photo session 13:00–13:10 |

10min.


Main Sessions

14:00–17:30 |

Estrelsaal AB

ICAR Main Session: Carry over/Sample Quality, MS2 Chair: Christian Baumgartner

The strategic importance of sampling processes for ICAR in a dynamic environment Uffe Lauritsen 14:00–14:20 |

20min.

ICAR’s Accuracy Task Force – the reason for its establishment

Brian Wickham 14:20–14:45 |

25min.

Draft: ISO 707|IDF 50 - Guidance on sampling for milk and milk products David Chedotal 14:45–15:10 |

25min.

Discussion 15:10–15:30 |

15min.

Chair: Martin Burke

Verification of correct assignment of milk samples to cows in AMS farm by DNA microsatellites Jürgen Duda 16:00–16:25 |

25min.

A testing protocol for carry over in AMS using Tracer-Color dilution Peter Løvendahl 16:25–16:45 |

20min.

16:00–17:30 |

Estrelsaal C

ICAR Open Session, S3

Time Duration

Chair: Danuta Radzio & Jorge Lama

Introduction 16:00–16:05 |

5min.

How performance recording data can reveal herd animal welfare level: Building a useful tool for Italian breeders Alessia Tondo 16:05–16:20 |

15min.

Dairy livestock welfare and climate change, risks analysis Kakha Nadiradze 16:20–16:35 |

15min.

FabaHELMI – Advisory service for better fertility in Finnish dairy cattle herds Anu Myllys 16:35–16:50 |

15min.

Network of advisory services to improve the health of dairy cows in Baden-Württemberg Stefanie Hollenbach 16:50–17:05 | 15min.

Detection of ketosis in dairy cattle determining infrared milk ketone bodies amount Jean-Bernard Davière 17:05–17:20 | 15min.

Questions and discussion 17:20–17:30 |

20min.

Best practices to minimize carry-over contamination in milk recording samples, both from operator and from equipment design and set-up perspectives Steven Sievert 16:45–17:10 |

25min.

Discussion and summary 17:10–17:30 |

20min.

23


Thursday, 22 May Estrel Saal AB 8:30

Estrel Saal C

ICAR Main Ses- ICAR Dairy sion Functional Cattle Milk Traits, MS3 Recording, S1 Christa Egger-Danner

Hans Wilmink

Thursday, 22 May 8:30–12:00 |

Estrelsaal AB

ICAR Main Session: Functional Traits, MS3 Chair: Christa Egger-Danner

Harmonization of recording and use of direct health data as basis of sustainable improvement of dairy health and longevity Kathrin Friederike Stock 8:30–8:45 | 15min.

10:00 10:30

Coffee break

ICAR Main Ses- ICAR Dairy sion Functional Cattle Milk Traits, MS3 Recording, S1 Christa Egger-Danner cont.

12:00

TECHNICAL TOURS

Lunch box provided.

Hans Wilmink cont.

Metabolic disorders and their relationship to milk production traits in Austrian Fleckvieh Birgit Fuerst-Waltl 8:45–9:00 | 15min.

Claw health data recording in Spanish dairy cattle Noureddine Charfeddine 9:00–9:15 | 15min.

Potential of fine milk composition for cow udder health management Aurélie Lainé 9:15–9:30 |

15min.

From science to practice - improved udder health with the German project milchQplus Maria Thielen 9:30–9:45 |

15min.

Inclusion of direct health traits in the total merit index of Fleckvieh and Brown Swiss cattle in Austria and Germany Christa Egger-Danner 9:45–10:00 | 15min.

Phenotypes for novel functional traits of dairy cattle John Cole 10:30–11:00 |

Progesterone in milk - investigations on practicability as a functional trait in dairy cows

18:30 19:30

ICAR Gala Evening

Please see page 73.

Ariane Boldt 11:00–11:15 |

15min.

Genetic evaluations based on data from automatic milking systems Bjørg Heringstad 11:15–11:30 |

24

30min.

15min.


Genomic breeding values for novel traits such as feed efficiency through female only reference populations Donagh Berry 11:30–11:45 |

15min.

The road to genetic selection for methane emission from ruminants: A global approach Yvette de Haas 11:45–12:00 |

15min.

8:30–12:00 |

Estrelsaal C

ICAR Dairy Cattle Milk Recording, S1 Chair: Hans Wilmink

The ICAR guidelines for dairy cattle recording: An overview of the work and ideas of the Dairy Cattle Milk Recording working group

An overview of wished recording requirements to satisfy to the current evolution of milk recording organizations and selection programs in France Xavier Bourrigan 10:50–11:05 |

Main Sessions

Time Duration

15min.

Why estimate what can be mesured? Michal Basovník 11:05–11:20 |

15min.

Data quality points – an immediate and motivating supervision tool Heli Wahlroos 11:20–11:40 |

20min.

General discussion 11:40–12:00 |

20min.

Jacob van de Westhuizen 8:30–8:50 | 20min.

Practical aspects in milk recording in Central and Eastern Europe and its effects on the guidelines

Pavel Bucek 8:50–9:10 |

20min.

Accurate recording at large herds in the United States: Current practices and expected developments Kevin Haase 9:10–9:30 |

20min.

Supporting the quality of the raw milk based on cattle breeding in Turkey

Huseyin Velioglu 9:30–9:45 |

15min.

Development’s milk recording in Morocco (Case Study: Benslimane’s Mabrouka Cattle Breeders Cooperative) Nadia Mousili 9:45–10:00 |

15min.

Automatic milking and milk production recording in New Zealand Claudia Kamphuis 10:30–10:50 |

20min.

25


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26 S W I S S Q U A L I TY

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Milk flow (kg/min) 6

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5 4 3 2 1 0 1

2

3

4

Milk flow curve 1

5

6

7

8 9 10 Milking time (min)

Milk flow curve 2

Relevant milking parameters like : (1) level and duration of peak flow (2) quarter distribution (3) machine stripping and (4) milking time are provided regularly by the LactoCorder with no additional cost or effort. Milk flow (kg/min) 6

Electrical conductivity (mS/cm) 8

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Milk flow curve

Thanks to high resolution milk flow curves, the quality of the milking routine and milking equipment can be evaluated, for example: (1) lack of pre-stimulation (2) air leakage, (4) overmilking and (5) machine stripping. Furthermore, (6) changes of electrical conductivity in connection with (3) the flow stopping of single quarters, can give additional indications of udder disease.

WMB AG Wegenstrasse 6 CH-9436 Balgach T: +41(0)71.7271830 F: +41(0)71.7271831 [email protected] www.wmb.ch

27


Friday, 23 May

Friday, 23 May Estrel Saal AB 8:30

Estrel Saal C1+2

ICAR Main ICAR Dairy Session IT, MS4 Sheep and Neil Petreny Goats, S2 Jean-Michel Astruc

10:00 10:30

Coffee break

ICAR Main ICAR Dairy Session IT, MS4 Sheep and Neil Petreny Goats, S2 Jean-Michel Astruc cont.

13:30

ICAR Main Session: IT, MS4 Chair: Neil Petreny

Introduction Neil Petreny 8:30–8:35 |

5min.

Juho Kyntäjä 8:35–8:50 |

15min.

MyAgSource: An online decision aid and herd management analysis tool developed to address the changing information management needs of US dairy producers and consultants Robert Fourdraine 8:50–9:05 | 15min.

Data on the hoof – Collecting herd management data amongst the cows

Lunch break

ICAR Presentations of SC, TF and WG

Suzanne Harding 9:05–9:20 |

15min.

Automatic classification of eating and ruminating in cattle using an collar mounted accelerometer

15:00

ICAR Board plus chairs SC, WG, TF* 16:30

Estrelsaal AB

User experiences of a herd management programme in a mobile device

cont.

12:00

8:30–12:00 |

Craig Michie 9:20–9:35 |

15min.

Questions & Discussion 9:35–10:00 |

15min.

Reconvene 10:30–10:35 |

5min.

New trends in data capture and exchange solutions between farms and external partners: The French situation Béatrice Balvay 10:35–10:50 |

15min.

Data exchange with robots and sensors: Achievements and prospects of the Animal Data Exchange initiative Erik Rehben 10:50–11:05 |

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15min.


Main Sessions

Time Duration Rinderdatenverbund „RDV“ – IT-NetworkSolution for 2 million cows in Austria and Germany Fritz Gollé-Leidreiter 11:05–11:20 | 15min.

Use of a data warehouse in animal husbandry and animal breeding Reinhard Reents 11:20–11:35 |

15min.

Questions & Discussion 11:35–12:00 |

8:30–12:00 |

25min.

Estrelsaal C1+2

ICAR Dairy Sheep and Goats, S2 Chair: Jean-Michel Astruc

Introduction

Jean-Michel Astruc 8:30–8:40 | 10min.

Ziegendatenverbund „ZDV“ – IT-NetworkSolution for goat performance recording in Bavaria and Baden-Württemberg

Klaus Droessler 8:40–8:55 |

15min.

Sheep breeding in the Czech Republic Pavel Bucek 8:55–9:10 |

15min.

National sheep and goats breeding program of Turkey and Sheep and Goats Breeders Association‘s collaboration system İrfan Daskiran 9:10–9:25 |

15min.

Lactation length and milk yield of Alpine goat in Slovenia Drago Kompan 9:25–9:40 |

15min.

Milk production and composition of „Beni Arouss“ North Moroccan local goat Samira El Otmani 9:40–9:55 | 15min.

Heritability of persistency traits and their genetic correlations with milk yield and udder morphology in dairy sheep Antonello Carta 10:30–10:50 |

20min.

Genomic selection in French dairy sheep: Main results and design to implement genomic breeding schemes Francis Barillet 10:50–11:10 |

20min.

Genomic evaluation validation test proposed by Interbull is necessary but not sufficient because it does not check the correct genetic trend Jean-Michel Astruc 11:10–11:25 |

15min.

The Norwegian healthier goats project Dag Lindheim 11:25–11:40 |

15min.

Appraisal of the selection plan for scrapie resistance in the Sarda dairy sheep breed Sotero Salaris 11:40–12:00 |

20min.

29


Technical Tours Departure

12:10

Tour 1: Creamery + Dairy Farm Creamery Gläserne Molkerei GmbH (‘transparent‘ organic dairy plant), Molkereistraße 1, 15748 Münchehofe, www.glaeserne-meierei.de ”Gläserne Molkerei“ is a creamery processing organic milk into various dairy products. The raw milk is delivered by organic farmers from Northern and Eastern Germany. The creamery stands for transparency and credibility in the manufacture of their organic products. Dairy farm with suckler cow husbandry 660 Holstein cows milked in a 34 point rotary Average milk production in 2013: 10,304 kg milk, 4.17% fat, 3.4% protein

Departure

12:40

Tour 2: Cattle breeders‘ association Berlin-Brandenburg + Dairy Farm RBB Rinderproduktion Berlin-Brandenburg GmbH RBB Rinderproduktion Berlin-Brandenburg GmbH, Lehniner Straße 9, 14550 Groß Kreutz with marketing centre and AI centre, www.rinderzucht-bb.de RBB is a strong and forward thinking partner for farmers. With breeding, insemination and marketing under one roof, RBB runs an efficient organization for the success of their members and customers. 125,000 herd book cows - more than 90% of which are German Holsteins - form a solid basis for the innovative breeding program. Breeding improvement and the good management of the breeders is demonstrated by a milk yield of 9,000 kg milk per cow and year (305 days) with an average herd size of 315 cows. The young bulls are tested under real, practical conditions on contracted farms, which forms the basis for an optimal and reliable proof run. Furthermore, within the test herd program RBBPLUS, additional data on secondary traits for fertility and functionality are reliably collected at big breeding farms with an average herd size of more than 600 cows. A characteristic of their breeding area is the gene resource “Deutsches Schwarzbuntes Niederungsrind” (DSN), a dual purpose breed. More than 50% – 1,500 herd book cows - of the available breeding population in Germany can be found here. Breeders develop and care for this native breed through a special program in the state of Brandenburg. Dairy farm with a biogas plant 347 Holstein cows milked in a 2x10 herringbone parlour Average milk production in 2013: 10,596 kg milk, 3.84% fat, 3.35% protein

Departure

12:20

Tour 3: Milk recording organization Brandenburg + Dairy Farm Milk recording organization Brandenburg Landeskontrollverband Brandenburg e. V., Straße zum Roten Luch 1a, 15377 Waldsieversdorf, www.lkvbb.de Landeskontrollverband Brandenburg e. V. is an independent and neutral organization that offers wide and future-oriented services for farmers. The main competencies are milk performance recording and milk quality testing, advisory services for dairy farmers as well as identification and registration of animals (cattle, pig, sheep, and goat). The organisation is quality certified according to DIN ISO 9001. The powerful and modern laboratory is accredited according to DIN EN ISO/IEC 17025. Moreover, this milk recording organization offers further services like mastitis diagnostic, analysis of feed and drinking water, soil, plants, farmyard manure (organic manure) as well as analysis of input and output material of biogas plants. Dairy farm with a biogas plant 996 Holstein cows milked in a 2x20 parallel parlour Average milk production in 2013: 10,432 kg milk, 3.95% fat, 3.20% protein

30


Tour 4: Institute for the Reproduction of Farm Animals Schönow + Dairy Farm Institute for the Reproduction of Farm Animals Schönow Inc. IFN Schönow, Bernauer Allee 10, 16321 Bernau, www.ifn-schoenow.de The IFN Schönow Inc. is an innovative research facility working toward new and continued developments including biotechnologies in the area of farm animals. Research focuses on increasing efficiency of artificial insemination procedures with cattle and pig species. In addition to the research objectives, the Institute offers a variety of services. Services cover consulting in fertility management, evaluation of quality control through the Institute‘s reference laboratory for standards in spermatology (Referenzlabor für Spermatologie), as well as offering professional formation through its state-certified facilities of education. Additionally, they include assistance to animal breeders and to enterprises in top management of reproduction and of strategies for breeding. Its tradition since 1958 and its reestablishment in 1993, provide today‘s IFN Schönow Inc. with experience and expertise in animal breeding and guide its current innovations for biotechnological options. Its close cooperation with the IFN Schönow Ltd. (IFN Schönow GmbH) enhances the Institute‘s informed partnership regarding parentage control.

Departure

12:50

Dairy farm with a biogas plant 1.193 Holstein cows milked in a 2x18 herringbone parlour Average milk production in 2013: 9,004 kg milk, 3.96% fat, 3.31% protein

Tour 5: Federal Institute for Risk Assessment Berlin + Dairy Farm Federal Institute for Risk Assessment BfR Berlin, location Alt-Marienfelde 17-21, 12277 Berlin, www.bfr.bund.de The Federal Institute for Risk Assessment under the Federal Ministry of Food and Agriculture is responsible for all scientific aspects of consumer health protection. BfR is the national partner of the European Food Safety Authority. Around 750 members of staff work at four locations in Berlin. “Identifying risks - protecting health” - these are the tasks of the Federal Institute for Risk Assessment. They encompass the assessment of existing and the identification of new health risks, the drawing up of recommendations on risk reduction and the communication of this process. In its assessments and recommendations BfR is not influenced by any economic, political or social interests. It presents them in a comprehensible manner for the general public. Current work at the BfR encompasses the usage of antibiotics and the situation of resistance against antibiotics in livestock farming in Germany. BfR also runs a research dairy herd.

Departure

12:30

Dairy farm with a biogas plant 619 Holstein cows milked in a new 40 point abreast rotary Average milk production in 2013: 10,097 kg milk, 4.08% fat, 3.45% protein

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Funke-Dr.N.Gerber Labortechnik GmbH Tradition, Progress, Continuity Since 1904, Funke-Gerber has been an important player in dairy farming, both at home and abroad. The production of laboratory apparatus for the testing of milk and foodstaffs is among its crowning achievenments. The manufacture of centrifuges together with butyrometers and other appliances for the fat determination according Dr.N.Gerber continues to occupy a central place in the company´s business activity. Over and above this classical field, the company develops and produces the most modern electronic devices for milk analysis. “CryoStar” appliances for the freezing-point determination are highly regarded on account of their precision and reliability and have been in use in many dairies and institutes for years. A new era in routine laboratory analysis has been opened by the new “LactoStar” appliances. The application of know-how and continous further development make Funke-Gerber a successful supplier for laboratory equipment in the dairies. Decades of trusting co-operation have given our company the necessary global presence to ensure the provision to customers, in association with the numerous business partners who represent Funke-Gerber in their countries. Since 1904, the name Funke-Gerber has been a byword for quality, reliability and continuity.

32

Gerber Centrifuge

Milk Analyzers

Freezing Point

SuperVario-N

LactoStar / LactoFlash

CryoStar I


Abstracts

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Abstracts

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Keynote Lectures (KL) Animal identification, animal breeding and international trade – the new EU Regulation on Zootechnics *S. Pavón 1 Directorate General for Health and Consumers, European Commission, Brussels, Belgium 1

KL-01 May 21 11:15 35min.

International trade of food products is rapidly changing and Tariff Barriers no longer represent a major limitation for market access. Non-Tariff Barriers (NTB) have emerged during recent years as a key tool for the international trade of agricultural food products. Among NTB, Sanitary and Phytosanitary (SPS) standards - and related animal identification and traceability protocols - are playing a leading role in the international trade of food products. Animal identification and traceability systems became an essential part of the European Union’s basic infrastructure to manage not only public and animal health but also consumer information, the functioning of a single market (composed of 27 Member States), crisis management and prevention of fraud. Animal diseases have the potential to significantly impact international trade. As a result, many countries worldwide have put in place animal identification and traceability systems. The EU has always been a major exporter of genetic material and technology-related worldwide. Recently, new trade barriers have been emerging making international trade in genetic material more difficult. For these emerging pathogens there would be a lack of international standards making it more difficult to solutionate trade disputes since no international trade recommendations or guidelines are available. In addition, barriers having an “administrative” nature have also appeared as a major problem for international trade. International trade in live animals and genetic material has been particularly affected in the EU due to these unjustified restrictions. The European Commission recently adopted (2014) a legislative proposal with the objective to set up at EU level the zootechnical and genealogical conditions for trade in and imports into the European Union of breeding animals and their germinal products. The proposed regulation provides in a single legal framework the principles of recognition and listing of breeding organisations, breeders associations and private undertakings, approval of their breeding programmes, etc… In addition it provides rules on imports from third countries of breeding animals, their semen, ova and embryos, and the designation of reference centres for breeding of animals. Provisions are laid down in this Regulation to carry out official controls and zootechnical checks and to resolve disputes arising where zootechnical checks disclose non-compliance with zootechnical requirements.

ICAR in a changing environment for animal production *J.B.M. Wilmink1 CRV B.V., Arnhem, The Netherlands

1

ICAR will play a more important role in the food production process. Food production will become more efficient and more sustainable. This is driven by the need for more animal protein and the need to utilize resources as effective as possible because of increasing scarcity. A number of development in technology, like genomics, smart sensors, cloud solutions, will make it possible to produce more food with less input. ICAR focus is on data collection of performances of ruminants and the process of data conversion to useful information for customers. The importance of this process will increase tremendously in the next decade. The future for ICAR is challenging.

The name of the main author is underlined. The name of the presenting author is marked with an asteriks*

KL-02 May 21 11:50 35min.

35

Abstracts

KL-03 May 21 12:25 35min.


Genotypes are useful for more than genomic evaluation *P. VanRaden1, C. Sun2, T. Cooper1, D. Null1, J. Cole1 1 USDA-ARS, Animal Improvement Programs Lab, Beltsville, MD, United States 2 National Association of Animal Breeders, Columbia, MO, United States New services that provide pedigree discovery, breed composition, mating programs, genomic inbreeding, fertility defects, and inheritance tracking all are possible from low cost genotyping, in addition to genomic evaluation. Genetic markers let breeders select among sibs before their phenotypes became available, and 50,000 markers combined with larger reference populations greatly increased the reliability of genomic evaluations since 2008. With genotypes available for most sires, grandsires, and great grandsires, fairly complete pedigrees can be discovered in dairy herds that had poor or no pedigree recording. For 289,390 females genotyped in 2013, 11% had no sire reported, 15% had an incorrect sire reported, and 6% had a non-genotyped sire reported. Of the 75,905 females with incorrect or missing sires, a true sire was suggested for 50,538 (67%). Breed composition for crossbred animals can be accurately estimated using large differences among breeds in allele or haplotype frequencies. An animal’s own genomic inbreeding is easy to estimate, and genomic instead of pedigree inbreeding in the next generation can be controlled by computing genomic relationships for each potential mate pair. Use of genomic instead of pedigree inbreeding gives an estimated benefit of $30 per female calf produced. A total of 18 recessive defects and simply inherited conditions are tracked or imputed for each genotyped animal. Web displays allow visual inspection of chromosomal breeding values and marker effects for each trait. Cost of genotyping is greatly reduced by reading a subset of the markers and imputing the rest, with a small reduction in accuracy. All of these services are now being or can be provided routinely for > 500,000 genotyped animals in the North American database, and are also available and routinely used by dairy producers from 35 other countries that submit genotypes to the database.

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OFFERING THE IDEAL CONTAINER

A dedication to Dairy Vial production The name of the main author is underlined. The name of the presenting author is marked with an asteriks*

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Abstracts

Oral Presentations (OP) OP-01 May 20 16:30 15min.

ICAR/IB Technical Session: Parentage verification and parentage discovery, MS1 Parentage recording and discovery overview *S. Harding1 1 Cattle Information Services, Rickmansworth, United Kingdom As an introduction to this session, I will give a brief explanation of the Terms and Conditions of the Parentage Recording Working Group, the scope of the group and the work we are currently undertaking. The increase in the analysis of parentage using SNPs has meant that there are now many organisations using bespoke chips as well as using the Illumina range of SNP chips for parentage verification and parentage discovery.

OP-02 May 20 16:45

International Genotype Exchange Platform (GENOEX) *J. Dürr1, H. Jorjani1, R. Reents1 1 Interbull, Uppsala, Sweden

20min.

Interbull service users have manifested interest of developing an international platform for genomic data exchange to enable Interbull to provide customized services to the current users and also to different players that are not directly involved with genetic evaluations but with genomic data. In order to identify clearly the existing demand, a survey among Interbull service users and collaborators was conducted in August 2012 and a total of 48 responses from 30 different countries was received. Considering the feedback received and technical aspects, the Interbull Centre recommended adopting the BC|SNPmax data management system, by Biocomputing Platforms, as the database and SNP handling tool. This option was corroborated by an expert group invited by the Interbull Steering Committee. The Interbull Data Exchange Area (IDEA), will continue to be developed in parallel to manage pedigrees, national and international genetic evaluation data, and communication between the two databases will be developed. The objectives of the GENOEX proposal are: a. establishing the infrastructure necessary for international cooperation based on SNP data; b. optimizing customer investments in genotyping by avoiding duplication; c. establishing standard protocols for genomic data exchange; d. becoming the international source of bovine parentage SNPs; e. facilitating multilateral SNP data exchange by establishing a common repository and customer driven access rules; and f. providing affordable genomic data storage for small populations. The services to be provided through the implementation of GENOEX platform at the Interbull Centre are differentiated into three categories: parentage SNP exchange service (PSE), genomic data exchange service (GDE) and customized genomic repository (CGR) service. A step-wise implementation process will be adopted, starting by PSE followed by GDE and CGR.

OP-03

Analytical and statistical consideration on the use of the ISAG-ICAR-SNP panel for parentage control, genotyped with the Illumina bead chip technology, exemplified on the German Holstein (HF) population

May 20 17:05 20min.

*E. Schütz1, B. Brenig1 1 Georg-August-Universität, Institute of Veterinary Medicine, Göttingen, Germany Background: For SNP-based parentage control in cattle a set of 100/200 SNPs is proposed by ISAG-ICAR. Nevertheless, quality criteria for the use of SNP results are lacking and the exclusion probability is not precisely defined, due to limited number of HF-cattle evaluated. We propose a statistical procedure for excluding single SNPs from parentage control, based on case-by-case evaluation of the Genotype-Calling (GC) score, to minimize

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exclusions, based on miscalls. In addition exclusion power of the ISAG-ICAR-panel SNPs in the German HF population is adjusted, by the use of >25,000 SNP results. Methods: The averages and SD of GC-scores for the 200 SNPs were calculated for the bovine 50k (n=20,000) and 10k (n=7000) bead chips and used as basis to calculate the Z-value for any given sample. The combined error was defined as square root of the sum of squared Z-score (ancestor and parent(s)); Z-score >0 were set to zero. Results: When compared to the provided data, the minor allelic frequencies in the German HF cattle population, yielded an exclusion probability that was 1.7-fold higher for one parent and 2.4-fold higher for two parents. Two SNPs from the core-panel are monomorphic. In a simulation of 10,000 parentage control combinations, using the GC-score data from both chips, SNPs with a total error >Z=3.67 were censored. In using this approach of error control, about ~2.5% would be excluded from SNP based parentage control, based on the ISAG/ICAR recommendations (core panel: ≥90 SNPs for one, ≥85 SNPs for two parents). This value was lower (~1%) if only 10k chip data were used. When applied to real data from 1700 single parentage assessments, the rate of doubtful parentages was greatly reduced to 0.2%, and 77 parentage exclusions due to weak genotype calls were avoided, whereas only 65 samples would have been rejected. Conclusions: SNPs based parentage evaluation provides a high exclusion higher in the German HF population than pre-calculated. Usage of SNPs with weak calls for calculation of breeding indexes is generally accepted, but for parentage control a higher pre-evaluation raw data quality is desired to minimize false exclusion of parentages. We propose a method by which this error is controlled, while excluding only few ancestor/parent combinations from evaluation, and therefor has a favorable cost/benefit ratio.

Application of a custom SNP chip: Microsatellite imputation, parentage SNP imputation, genomic evaluations, and across-breed nation-wide genetic disease prevalence with the International Beef and Dairy SNP chip *M. McClure , M. Mullen , F. Kearney , A. Cromie , M. Treach , P. Flynn , R. Weld , D. Berry 1 ICBF, Bandon,, Ireland 2 Teagasc, Animal & Grassland Research and Innovation Centre, Athenry, Ireland 3 Weatherbys Ireland, Johnstown, Ireland 1

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OP-04 May 20 17:25 20min.

Since spring, 2013 over 24,500 Irish beef and dairy cattle have been genotyped on the custom International Beef and Dairy (IDB) SNP chip for 16,562 single nucleotide polymorphisms (SNP). The IDB has been used in genomic evaluations, parentage verification and assignment, as well as determination of animal genetic disease and major gene status. When the putative sire had no SNP genotypes available, parentage verification was undertaken on >10,000 cattle using 1,002 IDB SNP to impute ISAG microsatellite (MS) alleles with >98% accuracy for MS-based parental verification. Any animal with >1 MS concordance error between its imputed MS profile and its listed sire was directly MS genotyped to maintain stringent verification quality levels. Additionally we present here that imputation of parentage verification SNP from >20 genotyped progeny is achievable at >99% accuracy. MS imputation is aiding, and progeny-based SNP imputation will aid, the transition from MS- to SNPbased parentage verification. MS imputation has saved the Irish cattle industry >€200,000, as the average MS genotype cost parentage verification is €20 per animal. Diagnostic SNP for genetic diseases and major genes were included on the IDB to provide more accurate breeding advice. Direct genomic values (DGVs) for dairy cattle are as accurate when the IDB is used as when Illumina 50K data is used. Overall, the IDB has had a major impact on the Irish cattle population enhancing DGV predictions, assisting in the rapid transition of parentage verification to SNPs, and facilitating precision genomic matings to avoid unwanted allele frequencies in lethal mutations and major genes.


39

Abstracts


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ICAR Main Session: Carry over/Sample Quality, MS2 The strategic importance of sampling processes for ICAR in a dynamic environment

OP-05

*U. Lauritsen1 1 Danish Cattle Federation, Milk Recording Division, Aarhus, Denmark

May 21

Fast growing developments in analytic methods, industrial setups, and adjustment to practical use, finds its way into analytic services for dairy farmers. Exploitation of all these new features, transferring into efficient and valuable management tools, needs a good deal of understanding of the nature of sampling and milking routines. It also needs a broader view of where milk recording services might go in the near future. We can only develop a demanded service if we understand the end users need. I will in this short introduction to the 90 minutes session, focus on some basic elements in today’s sampling and milk recording, based on the needs of the farmers.

20min.

ICAR’s Accuracy Task Force - the reason for its establishment *B. Wickham1 1 Consultant, Ireland Accuracy is a key concept in animal recording. The ICAR Board has recently decided to establish an Accuracy Task Force with two objectives; •

to develop a scientifically sound philosophical basis for ICAR to use in establishing accuracy guidelines for the collection of animal recording data that is incorporated into information services that support; breeding, farm management, traceability/supply chain/quality assurance, and health/welfare, and

•

to provide statistical tools and guidelines, for use by ICAR Groups in establishing accuracy guidelines relevant to their particular area of expertise.

14:00

OP-06 May 21 14:20 25min.

This paper provides the background thinking that gave rise to the establishment of this Task Force. The decisions that are made based on data collected from laboratory(s), or even in-line testing, include decisions covering: bulk milk quality, farmer payment, breeding, quality assurance and disease control. In each case the accuracy of the decision will be a reflection of the accumulation of “errors” arising from each step in the process that results in the information used for decision making. That is, Accuracy of Information (e.g. Breeding Index, Bulk Milk SCC, ...) = Accumulated Accuracy of [Identification, Sample Representation, Sample Contamination, Component Testing, Data Transmission, Data Storage, Data Retrieval, Statistical Model, …]. The key point being that sample contamination (carryover) is one part of a multistep process and depending on the decision being made and the accuracy of the other steps in the process may be having a relatively small or large impact. ICAR needs to ensure it is using the best available tools for establishing accuracy guidelines for all aspects of animal recording.


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Abstracts

OP-07 May 21 14:45 25min.

Draft: ISO 707|IDF 50 - Guidance on sampling for milk and milk products T. Hauck1, *D. Chedotal1 1 Milchprüfring Bayern e. V., Wolnzach, Germany ISO 707|IDF 50 is providing guidance on sampling for milk and milk products. However, it does not cover automated sampling of liquid milk and milk products at milk collection trucks, milk collections points and at dairy plants. Guidance will be provided for automated sampling of liquid milk and milk products on milk collection trucks, milk collection points and at dairy plants. The scope will cover both technical and human aspects such as teaching personal, training to avoid risks and cross contamination, cleaning and maintaining the equipment as well as tracking performance reliability and accuracy. This ISO - IDF standard is intended to provide guidance to: • Users of Auto-sampling equipment which is used for taking samples for composition measurement, Quality control and payment • Dairy Industry Inspection and Advisory Services • Those responsible for testing and validating Auto-sampling equipment. Sampling of milk from individual cows is not within the scope as it is already covered by guidelines from the International Committee on Animal Recording, but looking at the details of our recommendations we shall see that the two worlds are not far from each other.

OP-08 May 21 16:00 25min.

Verification of correct assignment of milk samples to cows in AMS-farms by DNAmicrosatellites *J. Duda1, R. Ingolf2 1 LKV Bayern e.V., München, Germany 2 Tierzuchtforschung, Grub, Germany Somatic cell content in bovine milk samples enables extraction of DNA of sufficient quality and quantity which can be used for parentage verification by microsatellite analysis. If the DNA analysis of the milk sample excludes the sire as registered in herdbook data, there may be two possible causes. Firstly, wrong assignment of the milk sample to the cow, secondly the registered parentage of the cow is not correct. From 60 Bavarian farms with robotic milking systems ten cows of each herd were chosen during routine milk performance recording by an algorithm of the data center for milk recording. In the milk analysis laboratory the samples of the selected cows were automatically separated for subsequent DNA testing by GeneControl GmbH in Bavaria. The results from the DNA test were as following: 371 samples showed correct parentage, for 19 samples incorrect paternal parentages were found (with 9 samples from a single farm as a result of poor sample handling), 29 samples were contaminated by admixture of samples from different cows and 90 samples were insufficient due to too low somatic cell counts or poor sample quality.

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Further tests will be performed in order to evaluate the sensitivity of the DNA test concerning admixtures of milk and dependency on somatic cell count. Thanks to the high degree of automation the method could be applicable for routine verification of correct sample mapping and sample quality, but some additional effort will be needed for a better performance.

A testing protocol for carry over in AMS using tracer-color dilution *P. Løvendahl1, M. Bjerring2, T. Larsen2 1 Aarhus University , Molecular Biology and Genetics, Aarhus, Denmark 2 Aarhus University, Animal Science, Aarhus, Denmark

OP-09 May 21 16:25 20min.

Carry-over (CO) is the phenomenon that a milk sample from cow B also contains some fraction of milk from cow A that was milked just before B. This protocol describes a method for quantifying the fractional CO in a test-lab or on-farm situation, as suggested at ICAR Aarhus 2013. The estimate of CO covers the complete and complex system from the udder of cow to the sample ending in the milk testing laboratory. The protocol described here is based on our experiences from the application of previous versions of CO testing protocols. The protocol is designed to detect liquid volumes of milk using tracer-color dilution as principle. The protocol tests anAMSwhich is disconnected from the bulk tank pipeline and replace live cows with phantom-cows. All functional settings are for “recording-sampling”. Two “phantom-cows” are milked twice each. One cow (named “Yellow”) contains milk with a fluorescent (water and fat soluble; e.g. fluorescein) color tracer, and the other (named “White”) contains pure milk without any color added. Fluorescence in samples is measured using spectroscopic fluorescence methods. Fractional CO is calculated as the percentage of “yellow” in the first “white” cow milk samples. The protocol takes advantage of standard laboratory procedures for determination of CO in as far as possible and gain accuracy by duplication. That means, using two color tracers, running colored and White two times before switching to new color, and repeating the whole series at least as duplicates, and better as triplicates, in order to obtain the most reliable results. Previously we have detected CO between 2.0 and 18.0 %, with the better results from well-adjusted AMS and samplers. In comparison, non-AMS CO values between 2.5 and 4.5% were detected using this method. Further insights are obtained by testing CO at various amounts of milk to provide a CO-profile. Implementing the protocol requires some investment in instruments but procedures are generally simple.

Best practices to minimize carry-over contamination in milk recording samples, both from operator and from equipment design and set-up perspectives *S. J. Sievert , R. J. Cantin 1 National DHIA, Verona, WI, USA, United States 2 CanWest DHI, Guelph, ONT, Canada 1

2

OP-10 May 21 16:45 25min.

Carryover contamination (CO) of milk samples is defined as residual milk from one cow that mixes with milk of another cow during sample collection. Considering multiple component samples for a cow over the course of the lactation and a near-random distribution of CO possibilities, the lactation effect on milk fat, protein, and SCC is minimal. With the implementation of new health diagnostic and screening tests, there is a renewed focus on the effect of CO on results. While laboratories performing enzyme-linked immunosorbent assays (ELISA) and polymerase chain reaction (PCR) tests have developed protocols to minimize the impact of CO, their role is primarily limited to the analysis of the milk sample presented. The role in the reduction of CO of milk samples lies with the on-farm sampling practices and collection, most often by the milk recording organization The name of the main author is underlined. The name of the presenting author is marked with an asteriks*

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Abstracts

(MRO) but also from owner sampler herds. The wide range of ICAR-approved recording devices used by MRO to collect representative milk samples vary in design and method of operation, providing varying potentials of CO. Identification of source(s) of probable CO is necessary to impact carryover reduction and provides equipment manufacturers useful information from a design perspective. Acceptance of the limitations of recording devices along with the development of best practices to minimize potential CO by recording device operators can provide milk samples for analysis that accurately represent the animal sampled. For automatic milking and sampling systems, these practices can be implemented through alterations in the system programming and design. However, minimizing CO in the collection of samples via traditional recording devices and external samplers is a challenge as it includes a larger human component, therefore training of MRO and owner sampler staff in best sampling practices is critical. Specific focus on best practices to minimize CO for these mechanical recording devices should be placed on 1) specific equipment set-up and maintenance; 2) understanding the impact of the existing milking system on equipment operation; and 3) proper operator usage. These practices should also include provisions for accurate cow identification, sample to cow identification, sampling order, and potentially chain of custody, resulting in increased accuracy.

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References

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ICAR Open Session, S3 How performance recording data can reveal herd animal welfare level: Building a useful tool for Italian breeders *A. Tondo1 1 Italian Breeders Association, R & D, Rome, Italy

OP-11 May 21 16:05 15min.

An assessment of animal welfare level of a whole herd requires distinct investigation of two different areas: •

Evaluation of farming systems in which an animal can live in wellness

•

Evaluation of animal based parameters expressing whether the animal has a condition of wellness

Many scientific papers have been published both about the influence of farming system on animal welfare and about animal based evaluation of animal welfare. Many protocols have been already applied in order to give a support to animal welfare control. Nevertheless, whereas herd evaluation of the first area is easier as it is referred to farm parameters measurements, the latter needs data processing as it is based on animal parameters measurements (often analytical individual parameters). However, final evaluation has to convey the wellness level of all animals of the same herd. Several animal welfare risk factors have been identified by scientific research basing on performance recording data. The aim of this paper is to present an algorithm which calculates a unique herd animal welfare index from individual performance recording measurements. A set of risk factors have been chosen. Data is previously transformed into standardised values. Afterward, one value for each risk factor is calculated as an index of the animal welfare of the whole herd. An overall index, including all risk factors, is also obtained in order to give a useful information of herd animal welfare level. This final index is an intuitive instrument able to identify critical animal welfare situations or to label herds as optimal. An application using Italian performance recording data is provided.

Dairy livestock welfare and climate change, risks analysis *K. Nadiradze1, N. Phirosmaashvili1 1 Association for Farmers Rights Defense, AFRD, Dairy Livestock, TBILISI, Georgia The Association for Farmers Rights Defense, AFRD was formed in 1999 to help meet the growing needs of Georgia’s dairy industry for applied research, industry training, and more trained graduates for careers in the dairy/food industries. AFRD is now in its 15 th year as one of the oldest NGO in Georgia having dairy centers and Extension and Rural Advisory Services. Last Year AFRD was invited to Berlin, for participation on GFRASGlobal Forum for Rural Advisory Services as Presenter and after that was successfully established EUFRASEuropean Forum for Rural Advisory Services, AFRD has became as Co-Founder-EUFRAS Georgia. AFRD is helps to Dairy Farmers in a technical expertise, development of physical facilities, equipment, and industry relationships to address many current and future needs of Georgian dairy Farmers. The AFRD is recognized statewide, nationally and increasingly internationally as a focal point for innovation and training in dairy foods. Its outreach programs serve approximately 50-70 participants annually through its many short courses and symposia. In addition to improving and growing its existing programs the AFRD seeks to develop new program emphasis to support global market growth and dairy innovation for the Georgian dairy sector. In addition, it is exploring new program approaches to address the expressed needs for more trained graduates to fill the many technical needs critical to drive product quality and ultimately dairy product sales growth. The Projects was focused on risk management and disease control in Animals, aiming giving to decision-makers the necessary recommendations to deploy intervention methods and help prevent large-scale spread of zoonotic diseases and different pollutants affecting food and feed for human ad animals. The overall objective of our research project was to combine climate models, weather-dependent infection-control data for key diseases, and local The name of the main author is underlined. The name of the presenting author is marked with an asteriks*

OP-12 May 21 16:20 15min.

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Abstracts

knowledge of Farmers about population behavior, disease control and transmission patterns. We learned by these researches that there was a clear lack of use of climate-model data sets for impact studies, assessments and evaluations. We investigate the conditions of the animals diseases like: brucellosis, bovine tuberculosis, echinococcosis, leishmaniosis, listerias and zoonotic trypanosomes.

OP-13 May 21 16:35 15min.

FabaHELMI - Advisory service for better fertility in Finnish dairy cattle herds *A. Myllys1, L. Rampa1, K. Vaaramaa2 , M. Päivärinta1 & U.-M. Sundelin-Ryytty1 Faba co-op., P.O.Box 95, Korpikyläntie 77, 15871 Hollola, Finland ProAgria Maatalouden Laskentakeskus (ProAgria Agricultural Data Processing Centre), Urheilutie 6, P.O. Box 25, 01301 Vantaa, Finland

1 2

The new advisory service FabaHELMI (HELMI refers to pearl) was introduced in February 2014 to Finnish dairy farmers. FabaHELMI service is performed by AI-technicians working for Faba co-op. and specialized in fertility issues and fertility advisory. Fertility advisor visits the farms every 2 to 13 weeks as agreed with the farmer. FabaHELMI service aims to improve fertility both on the whole herd scale as well as on individual animal scale. Fertility disorders and poor management of fertility cause high monetary losses for the farmers. FabaHELMI service supports the farmer in his efforts towards better fertility. The advisor visits the farm regularly and checks both pregnancies and ovarian activity of cows in voluntary waiting period. Animals with fertility disorders are redirected to veterinary treatment, and in feeding problems the herd owner is guided to contact his feeding advisor. Special attention is paid to animal welfare and housing that may affect fertility in the herd. Twice a year the advisor and farmer focus on the fertility report and have a close look on reproduction outcomes during the last twelve and six months. With continuous monitoring of the fertility status of the herd, detection of heats and conception rate are improved. The fertility report designed for this service describes a thorough picture of the fertility situation in the herd, shows the in herd -development of the key figures and gives also the reference group results for the same traits. The figures are highlighted with descriptive pictures and graphs to ease the interpretation of the report. With this service the farmer will get tools to follow the improvement in fertility and he is strongly encouraged to set targets for his herd management.

OP-14 May 21 16:50 15min.

Network of advisory services to improve the health of dairy cows in Baden-Württemberg *S. Hollenbach1, F. Gollé-Leidreiter1 1 LKV BW e.V., Stuttgart, Germany Animal health is one main topic on the political agenda in Germany. To collect and analyze performance and health data in the dairy sector, an IT-network solution for advisory services (RDV- Rinderdatenverbund) was set-up with the aim to improve animal health in the dairy sector. The software is developed by milk recording organizations (MRO) from Austria, Bavaria, Schleswig-Holstein and Baden-Württemberg. The software package for veterinarian is a product of the close cooperation between MRO’s and the veterinarian communities of the different regions. In Baden-Württemberg the MRO built an advisory service network (Verbundberatung) together with farmers, vets and own technicians for the health improvement of dairy cows. Advice of all partners in the network is based on the common data base, using the “RDV” software. The „RDV“ offers hereby various software packages to different users: For famers there is a herd management software (RDV-Farm), an Android and IOS-app for mobile data collection and access (RDV-App) and a software to document the use of medicine (RDV-Med); for veterinarian exists a package for stock supervision (RDV-Vet) and for advisors a software to calculate feed rations (RDV-Feed) and to select optimal mates (RDV-Optibull). The network advice services are focusing on problems of udder health, fertility and metabolism. In joint meetings

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the farmers, vets and advisors define objectives of their work and ways of implementation. The progress is evaluated in consecutive meetings. This network benefits from the fact that all partners work on a common data base, having the same health agenda for the herds, facilitating the definition of a corresponding course of action and common thresholds. Furthermore, a clear assignment of activities can be realized, with the vets being responsible for udder health, fertility and metabolism, while advisors are assigned to animal keeping and feeding. The network started acting in Baden-Württemberg at the end of 2013.

Detection of ketosis in dairy cattle determining infrared milk ketone bodies amount *J.- B. Davière1 1 CLASEL, Saint Berthevin, France Ketosis is a disease caused by negative energy balance. This disease affects more than 50 % of dairy farms (Fourichon et al, 2010) and causes economic losses : decrease in milk yield (around 300-450 kg of milk/lactation) (Duffield, 2003), decrease in fertility, increase in intercurrent diseases as mastitis, displaced abomasum and metritis (Leblanc, 2010). The current method of detection of ketosis, based on the milk fat/protein ratio, is limited: sensitivity of 58 % and specificity of 69 % (Duffield, 2003). FCEL has developed a model for detecting ketosis in dairy cows from milk composition and zootechnical criteria. The model was built from 184 individual milk samples from 70 dairy herds. The milk components were measured by chemical reference method (Scalar method) (De Ross, 2007) and by infrared method in order to determine the cows’ status (healthy or suffering from ketosis). The model was then validated by a first dataset of 2,500 cows (within 100 days of lactation) and by a 2nd dataset including 60 selected dairy cows with the status of suffering from ketosis (according to the model). Blood analysis (BHB and glucose (Optium, Xceed), liver enzymes as aspartate aminotransferase (AST), and gamma glutamyltransferase (gGT) (Vet Test, Idexx)) were performed on the 60th dairy cows in order to compare the statutes predicted by the model with blood tests (Enjalbert et al, 2001). This indicator (CetoDetect®) is measured by infrared method from milk performance samples. CetoDetect can detect animals (within 100 days of lactation) healthy and suffering from ketosis with a sensibility of 91 % and a specificity of 88 %. For 2 years, this indicator is available for farmers.


OP-15 May 21 17:05 15min.

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Abstracts

48



ICAR Main Session: Functional Traits, MS3 Harmonization of recording and use of direct health data as basis of sustainable improvement of dairy health and longevity

OP-16 May 22

*K. F. Stock , J. B. Cole , J. E. Pryce , N. Gengler , A. Bradley , B. Heringstad , L. Andrews-Noden , C. Egger-Danner8 1 Vereinigte Informationssysteme Tierhaltung w.V. (vit), Genetic evaluation division, Verden, Germany 2 Animal Improvement Programs Laboratory, ARS, USDA, Beltsville, United States 3 La Trobe University, Department of Environment and Primary Industries, AgriBio, Bundoora, Australia 4 University of Liège - Gembloux Agro-Bio Tech (GxABT), Agricultural Sciences Department, Gembloux, Belgium 5 Quality Milk Management Services Ltd, Easton, United Kingdom 6 Norwegian University of Life Sciences, Department of Animal and Aquacultural Sciences, Ås, Norway 7 Holstein UK, Rickmansworth, United Kingdom 8 ZuchtData EDV-Dienstleistungen GmbH, Vienna, Austria 1

2

3

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7

8:30 15min.

Animal health and welfare issues have emerged as important factors for efficiency, competitiveness and public acceptance of livestock keeping and breeding worldwide. In dairy cattle, health monitoring has been in the focus of multiple research projects since the 1970s. Information on diseases from veterinary records and onfarm documentation systems are the main sources of direct health data, for which routine genetic evaluations were first implemented in the Nordic countries and more recently in a few other countries. The goal of the ICAR Functional Traits Working Group is to deliver information and tools that facilitate the use of health data across sectors and countries, thereby supporting the implementation of sustainable health monitoring and improvement systems. The ICAR guidelines for Recording, Evaluation and Genetic Improvement of Health Traits cover different approaches for the collection and use of health data in dairy management and breeding, and recommend best practices. Standardization is essential for building up the required information base on dairy health by collaborative and integrative approaches, and the hierarchically structured, comprehensive key for health data recording can serve as a reference which facilitates the connection of data sources. International and interdisciplinary exchange of experiences and collaborations can contribute to the development of efficient breeding strategies with increased weight on health and welfare traits. The ICAR 2013 Health Data Conference showed the potential of broad adoption of the available health data standards for the benefit of all stakeholders in the dairy sector. Clear and restrictive regulations regarding access and use of health information help increase the rate of data integration which is needed for maximum performance regarding support of short- and longterm improvements of the dairy herd. Based on internationally harmonized recording of direct health data, joining of sectoral, regional and national initiatives is expected to propel the targeted improvement of health, welfare, and longevity in dairy breeding.

Metabolic disorders and their relationships to milk production traits in Austrian Fleckvieh S. Ederer1, C. Egger-Danner2, W. Zollitsch1, *B. Fuerst-Waltl1 1 University of Natural Resources and Life Sciences Vienna (BOKU), Department of Sustainable Agricultural Systems, Div. Livest. Sci., Vienna, Austria 2 ZuchtData EDV-Dienstleistungen GmbH, Vienna, Austria

OP-17 May 22 8:45 15min.

In 2010, a routine genetic evaluation for the direct health traits mastitis, early fertility disorders, ovarian cysts and milk fever was introduced for Fleckvieh as part of the joint Austrian-German genetic evaluation. In order to include direct health traits in the total merit index, a female fertility index and an udder health index were additionally implemented in 2013. For metabolic disorders, no such index has been developed yet. Thus, genetic relationships between metabolic disorders and possible auxiliary traits needed to be investigated. In total, 12512 diagnoses for metabolic disorders and more than two million test day records were available for validated farms. After all restrictions, 118,237 records based on electronically transmitted veterinarian diagnoses collected between 2006 and January 2013 could be used. Metabolic disorders for rumen acidosis (ACI), displaced abomasum (ABO), milk fever (FEV), ketosis (KET) and slaughtering caused by a metabolic disease The name of the main author is underlined. The name of the presenting author is marked with an asteriks*

49


Abstracts

(SLA) were defined as binary traits (0/1 or healthy/diseased) in specific time periods. The frequencies of the metabolic disorders were 0.08%, 0.02%, 2.75%, 0.56% and 0.51 % for ACI, ABO, FEV, KET and SLA, respectively. As metabolic disorders mainly occur at the start of lactation, first test-day performance traits were considered as auxiliary traits: fat, protein, lactose and urea content (UREA) of the milk, and the calculated ratios of fatprotein (F:P1), fat-lactose (F:L1) and protein-lactose (P:L1). For the second test day only ratios were considered. Genetic correlations and heritabilities were estimated with a linear repeatability animal model. For the low frequency traits ACI and ABO, genetic variances were close to zero with high standard errors. Heritabilities for FEV, KET and SLA were 0.034, 0.008 and 0.006, respectively. Heritabilities and genetic correlations indicated that the F:P1 ratio is a possible auxiliary trait for FEV, KET and SLA. Additionally, F:L1 and UREA could be considered.

OP-18

Claw health data recording in Spanish dairy cattle

May 22

*N. Charfeddine1, M. Perez-Cabal1,2 1 CONAFE, Technical Department, VALDEMORO, Spain 2 University, Animal Production, Madrid, Spain

9:00 15min.

A new electronic recording system for claw health data called I-SAP is being implemented by the Spanish Holstein Association (CONAFE) in Spain since 2012 in cooperation with private trimmers. This program is a tool developed from the continuous demand of Spanish farmers as a consequence of the detriment in claw health during the last decades. CONAFE provides each trimmer a tactile PC-tablet with a useful and friendly software called DATPAT for record keeping in farms. The trimmer connects via the Internet with the database to download herd animal data and to send information back after each working day. During this two years of being used I-SAP enrolled more and more trimmers. At the end of 2012, the program was used by four-fold trimmers than at the beginning. The increasing trend continued along next year, with 25 claw trimmers in December 2013. These figures show the success of the implementation of I-SAP. Claw trimming data from July 2012 to Jun 2013, including 78,257 records registered by 21 trimmers in 834 dairy herds were used to calculate the observed incidence rate within herd for the 6 claw disorders: Dermatitis (DE), Sole Ulcer (SU), White Line separation (WL), Interdigital Hyperplasia (HP), Interdigital Phlegmon (PH), and Chronic Laminitis (CL). Average incidence rates for DE, SU, WL, HP, PH and CL, were: 8.58%, 16.18%, 7.20%, 0.57%, 0.80% and 3.94 %, respectively. The 85% of lesions were present in rear legs. The mean (±SD) herd incidence of cows with at least one lesion was 31.72±18.52%, 25.09% of which were new lesions and 6.63% were chronic lesions. Recording data may take extra time and engagement, but once the claw trimmer gets used to the software, recording takes only few seconds. The advantages of electronic recording are unquestionable for trimmers and farmers, who can access the historic database as well as the statistics whenever they need.

OP-19 May 22 9:15 15min.

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Potential of fine milk composition for cow udder health management *A. Lainé1, B. Catherine1, G. Nicolas1 1 University of Liège, Gembloux Agro Bio-Tech, Gembloux, Belgium The objective of this research was to investigate the potential of mid-infrared (MIR) analysis of milk to provide indicators of the udder health status of dairy cows. Mastitis data collected in 49 Walloon herds were merged with test-day data including milk composition and MIR spectra. A total of 1987 healthy lactation and 3204 lactations with at least one mastitis, clinical or sub-clinical, chronic or new infection, were identified. First, using paired t tests, significant differences between milk composition of the test-day from 10 to 45 days before the mastitis and milk composition of the test-day occurring during the mastitis (from 10 days before to 10 days after the event) were observed for fat, protein, casein, lactoferrin, saturated FA, short chain FA, medium chain FA, Na, Mg and K. Moreover, milk composition of test-days from healthy lactations was compared with milk


composition of test-days occurring from 45 to 15 days before a mastitis using t tests. Lactoferrin, Na, titrable acidity, and urea were identified as potential early indicators of mastitis. The results emphasized the potential of MIR analysis of milk to provide udder health indicators.

From science to practice - improved udder health with the German project milchQplus *M. Thielen1, S. Hachenberg1, B. Behr1, J.- H. Paduch2, S. Degen2, K. Oberhollenzer3, R. Oppermann4, V. Krömker2, C. Baumgartner3, F. Onken1 1 German Association for Performance and Quality Testing (DLQ), Bonn, Germany 2 University of Applied Sciences and Arts, Faculty II, Microbiology, Hannover, Germany 3 Bavarian Association for raw milk testing (MPR Bayern), Wolnzach, Germany 4 Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries, Westerau, Germany

OP-20 May 22 9:30 15min.

The aim of the nationwide project milchQplus is to improve the udder health status on German dairy farms. For this purpose, additional key figures are to be implemented by the 12 German milk recording organisations in their dairy herd improvement reports reaching about 53,000 dairy farmers monthly. These key figures are calculated from data produced by the normal milk recording of the individual cows and allow an assessment of the health status of the bovine mammary gland at herd level. Particularly, they give a picture of existing udder diseases, the duration of udder diseases as well as new udder diseases, always presented as a proportion of the whole herd. Most importantly, these values are objectively measurable figures, thus, they can make a valuable contribution to a strategic optimisation of the udder health management on farm. They allow continuous monitoring of udder health at herd level and act as an early warning system for mastitis problems at herd level. Additionally, they can be used to set realistic development targets as well as to control the effectiveness of improvements made. Furthermore, it is well known that the communication between the stakeholders involved in the farm plays an essential role in advancing udder health. Within the project this is considered in two ways: Firstly, workshops are carried out for consultants and milk recording personnel to raise their technical expertise with focus on the key figures as well as to improve their general communication skills. Secondly, in 2013 and 2014 dairy farmers, veterinarians and farm consultants across Germany have been interviewed on their experiences with and views on improving mammary gland health. Based on the results of these interviews a strategy will be developed to implement the project results such that a sustainable optimisation of the udder health status in practice is achieved.

Inclusion of direct health traits in the total merit index of Fleckvieh and Brown Swiss cattle in Austria and Germany C. Fuerst1, *C. Egger-Danner1 1 ZuchtData, Vienna, Austria

OP-21 May 22 9:45 15min.

In Austria a health monitoring system for cattle started in 2006 and has become part of the routine performance recording in the meantime. Similar health monitoring systems in Baden-Wurttemberg and Bavaria were established later on. So far the focus is on veterinarian diagnoses, but diagnostic observations of farmers are also recorded and will be included in the routine evaluation in the near future. Routine genetic evaluations for the direct health traits mastitis, early fertility disorders, ovarian cysts and milk fever were introduced in 2010 for Fleckvieh and 2013 for Brown Swiss. So far no genomic EBVs are available for the direct health traits, therefore conventional EBVs and pedigree indices are used instead. In 2013, two new indices were introduced to include direct health traits in the total merit indices (TMI). The first one is a female fertility index consisting of non-returnrate, time from first to last insemination, early fertility disorders and ovarian cysts. Early fertility disorders have an economic weight of 33 and 34% for Fleckvieh and Brown Swiss, for ovarian cysts these weights are 14 and 15%, respectively. Within the TMI the weight of the fertility index is 6.8% in Fleckvieh and 8.6% in Brown Swiss. The second new index is an udder health index calculated from somatic cell score (weight of 70%) and mastitis


51


Abstracts

(30%). To increase reliability, the conformation traits fore udder attachment, udder depth and teat placement are used as auxiliary traits. The weight of the udder health index in the TMI is 9.7% and 10.0% in Fleckvieh and Brown Swiss, respectively. Changes in TMI due to the inclusion of the health traits were small, correlations were above 0.99 because of rather low reliabilities of health EBVs so far. Currently, a research project is in process to re-estimate the economic weights, optimize the index calculation and revise the composition of traits in the TMI in order to improve the genetic gain particularly for fitness and health traits.

OP-22 May 22 10:30 30min.

Phenotypes for novel functional traits of dairy cattle *J. Cole1 1 Agricultural Research Service, USDA, Animal Improvement Programs Laboratory, Beltsville, United States Modern dairying uses sophisticated data collection systems to maximize farm profitability. This includes information on cows and their environments. As on-farm automation increases many more phenotypes can be collected. There are two principal sources of data: farms and laboratories. On-farm data are typically recorded by farmers, but it is now common for information to be collected by other experts. For example, claw health data are often recorded by hoof trimmers. Automated milking systems provide detailed information about individual milkings, including time and conductivity for mastitis detection, and tools exist to assay progesterone in realtime. However, those systems often integrate poorly with the software used to interface with milk recording programs. Some farms have automated stations to record climate data, but much environmental information is not captured in on-farm systems, e.g., housing and flooring types and ration composition. Many phenotypes are based on the laboratory analysis of milk samples, and spectroscopic analysis is used to determine milk and fat concentrations in milk. Recent research suggests that many other phenotypes can be collected from those data, including milk fatty acid composition and methane production. The latter trait may provide a more economical measure of feed efficiency than individual intakes. There are also milk ELISA-based tests for diseases such as paratuberculosis and leucosis to provide early identification of carriers. Many young animals are genotyped, but only summary data are stored on the farm. Some phenotypes, most notably haplotypes associated with reduced fertility and increased perinatal mortality, can be generated directly from data collected in national databases. There are now more than a dozen of these recessives tracked in the US and other countries. The most substantial challenge faced by many dairy managers will be the effective use of the many new phenotypes that now are available.

OP-23 May 22 11:00 15min.

Progesterone in milk - investigations on practicability as a functional trait in dairy cows *A. Boldt1, W. Kanitz2, G. Martin3, B. Losand1, A. Römer1 1 State Research Centre for Agriculture and Fishery Mecklenburg-Western Pomerania, Institute of Animal Production, Dummerstorf, Germany 2 Leibniz Institute for Farm Animal Biology, Institute for Reproductive Biology, Dummerstorf, Germany 3 Martin-Luther-University Halle-Wittenberg, Institute of Agricultural and Nutritional Sciences, Halle/ Saale, Germany The interval from calving to commencement of luteal activity (CLA) was determined by progesterone measurements from milk samples obtained once weekly until 14th week postpartum in 513 German Holstein cows in first to third parity. Milk samples were analyzed by an “on-farm” device (eProCheck®, Minitüb) and simultaneously by RIA. The threshold value for CLA was determined at a progesterone concentration >5 ng/ml milk. Milk progesterone concentrations of “on-farm” measurements correlated with measurements done by the RIA-method significantly (r=0.72; P 0.05). Defatted dry average was significantly higher in intensive system (9.54% vs 9.31%) (P 6 months. Test results verify that farmers manage to do the sanitation process (snatching) and to follow the projects procedures very accurate. Test positive animals in sanitized flocks are slaughtered. Out of the 536 sanitized flocks; 3 CAE reinfections, 1 Johne’s Disease reinfection and 8 CLA reinfections have been observed. Re-infected flocks are carefully monitored and test positive animals are slaughtered. During 2012 and 2013 there where no new outbreaks of diseases caused by reinfection in sanitized flocks. By the end of 2014 all goat milk processed by TINE Norwegian Dairies will come from sanitized flocks.

Appraisal of the selection plan for scrapie resistance in the Sarda dairy sheep breed *S. Salaris1, F. Ingravalle2, A. Pernisa1, L. Crasta1, A. Fraghì1, C. Ligios3, S. Murru4, G. Ru2, A. Carta1 1 Research Unit: Genetics and Biotechnology, DIRPA-AGRIS Sardegna, Sassari, Italy. 2 Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta, Turin, Italy. 3 Istituto Zooprofilattico Sperimentale della Sardegna, Sassari, Italy 4 Associazione Nazionale della Pastorizia – ASSONAPA, Rome, Italy

OP-53 May 23 11:40 20min.

The Sarda is the largest Italian dairy sheep breed. Selection tools are applied in the high genetic merit flocks (HGMF) to generate genetic progress to be disseminated to the commercial population by natural mating rams. The aim of this paper is presenting results and prospects of the breeding plan for Scrapie resistance implemented in Sardinia on the Sarda sheep breed. The breeding plan for Scrapie resistance started in Sardinia in 2005. The plan aimed at reducing the risk of Scrapie by increasing the ARR allele frequency. Two steps were planned: in the first, genotyping and selection of rams were applied mainly in HGMF to increase the availability of ARR carrier rams while preserving the genetic merit for production traits. In the second step, genotyping was extended to the whole population while making compulsory the use of ARR carrier rams. The implementation of this “two-step” plan led to the increase of ARR frequency in HGMF of 28% in 8 years. In the same time no decline of genetic progress for production trait was observed. Furthermore, ARR frequency trend in the commercial population was steady before the start of the second step and increased since its application. The “two-step” plan combined with rules for preserving genetic merit for production traits and facilitate the use of ARR/ARR rams has produced good results in the Sarda breed population. However, further tools to precisely monitor the ram flow from high genetic merit flocks to commercial population should be implemented. Results of selection for Scrapie resistance are more efficient at early stages of the plan whereas subsequently results tend to become more and more negligible. Thus, it is crucial to establish ARR frequency at which the genotyping of all male replacement is still economically suitable.


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Analysis throughout the milk value chain

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Social Evenings Welcome Cocktails Don’t miss this chance to mingle and mix with colleagues and friends from every corner of the globe as well as the leaders of the companies who are involved in the business. Be our guest at the two welcome cocktails, which will be held in the exhibition area.

IDF/ISO Welcome Cocktail Thursday, 15 May, starting at 18:30 Kindly supported by

ICAR/IB Welcome Cocktail Tuesday, 20 May, starting at 19:00

Gala Evenings We are delighted to welcome you to our gala evenings, which, for your convenience, will be held at the ESTREL Hotel. Enjoy delicious food and spectacular entertainment and spend a memorable evening with colleagues and friends.

IDF/ISO Gala Evening Saturday, 17 May, starting at 19:30

ICAR Gala Evening Thursday, 22 May, starting at 19:30 Kindly supported by

Tickets for both evenings are still available and can be purchased at the price of 50.00 € including VAT.

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Sponsors We are grateful for the support of our partners and sponsors.

Platin Sponsors

Gold Sponsor

Silver Sponsors

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Exhibitors

18

Booth no.

Company

1

TRU-TEST Ltd.

2

unisensor Diagnostic Engineering

3

DSM

4

Randox Food Diagnostics Ltd

4

NEOGEN EUROPE LTD.

5

Bentley Instruments, Inc.

6

DATAMARS

7

RDV EDV-Entwicklungs- und Vertriebs GmbH

8

OptiMIR

12

9

Allflex EUROPE

10

CAPITOL

10

11

Caisley

12

Funke-Dr. N. Gerber Labortechnik GmbH

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WMB AG / LactoCorder

14

Qlip

15

RAUDSZUS Electronic GmbH

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H. Hauptner und Richard Herberholz GmbH & Co. KG Hettich Benelux B.V.

17

FOSS

18

IDEXX Europa B.V.

19

Delta Instruments

20

AIM GmbH

21

QSE GmbH

22

Illumina

23

Charm Sciences

24

LKV Brandenburg

25

IDF

26

ADR e. V.

3 26 15

5

9 17

19

4

11

21 20 23

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8 2 1

16b 16 13

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Notes

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Notes

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BOOKING YOUR OWN CONFERENCE TRAVEL IS EASY AS ABC WITH THE GLOBAL ON LINE BOOKING TOOL FROM STAR ALLIANCE CON VENTION S PLUS No matter where you are travelling from, the Star Alliance™ network offers you a wide choice of flights to IDF/ISO Analytical Week and ICAR/INTERBULL Conference in Berlin. And with over 21,900 flights a day to 1,329 destinations across 195 countries, our 28 member airlines extend the same choice to any future conferences you are planning to attend. You can also save money when you book your flights. Simply quote the Convention Code LH16S14 and you plus one travelling companion will receive a special discount. Better still, no matter which Star Alliance member airline’s frequent flyer programme you belong to, you can earn and redeem miles across all 28 airlines. For more information, or to join the airline network that offers you more choice wherever your conferences take you, simply go to www.staralliance.com/conventionsplus

www.staralliance.com Information correct as of 06/2013

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