| Day |
Session |
Time |
|
Speaker |
|
Topic |
|
Monday,
May 20
Monday,
May 20
Monday,
May 20
|
Session I
Genetic Diversity & Production Updates
Chair: Gerben de Jong
|
08:30 |
|
M. Shaffer & SVN |
|
Opening of Interbull Open Meeting |
| 08:45 |
|
P. van Raden |
|
Breeding programs compared across countries, continents, and breeds using data from proven bulls and genotyped females |
| 09:00 |
|
T. Lawlor |
|
Heritable variation in gene expression is the key to maximizing genetic gain and preserving genetic diversity with a properly designed breeding program. |
| 09:15 |
|
J.T. van Kaam |
|
Next-Level Genomic Selection: Mitigating Inbreeding |
| 09:30 |
|
M. Stephen |
|
Genetic trend in milk fat percent is highly responsive to the relative economic value of milk fat and milk protein in the NZ dairy industry. |
| 09:45 |
|
F.L. Guinan |
|
Genetic parameters for daily milk weights in U.S. Holsteins using pen-based contemporary groups |
| 10:00 |
|
T. Pitkänen |
|
Revision of random regression test-day model has improved genomic prediction for Nordic Red dairy cattle |
| 10:15 |
|
X. WU |
|
Analysis of Factors Affecting Daily Milk Yields: An Initial Case Study in an Automatic Thrice-Milking Farm |
| |
|
|
|
|
|
|
Session II
New Traits
Chair: Daniele Vicario
|
14:00 |
|
J. Jenko |
|
Simulating genetic progress for traits with expensive phenotyping |
| 14:15 |
|
N. Vargas Jurado |
|
Estimation of variance components for clinical mastitis and somatic cell scores for the Nordic dairy cattle populations |
| 14:30 |
|
F. Galluzzo |
|
Genetic evaluation of differential somatic cell count in Italian Holstein |
| 14:45 |
|
R.B. Stephansen |
|
Genomic Prediction of Genetic Residual Feed Intake Integrating a Novel Energy Sink for Change in Body Reserves. |
| 15:00 |
|
J. Jamrozik |
|
Alternative Residual Feed Intake (RFI) expressions in dairy cattle |
| 15:15 |
|
J. Heise |
|
Breeding for feed efficiency in German Holsteins: the new RZFeedEfficiency |
| |
|
|
|
|
|
Session III
New Traits
Chair: Ezequiel Nicolazzi
|
16:00 |
|
M. Schrauf |
|
Cross-Validation Assessment of Random Regression Specifications in a Single-Step Genomic Model for Dry Matter Intake |
| 16:15 |
|
G. Tarekegn |
|
Using cow carcass weight to select efficient cows |
| 16:30 |
|
R. Kempe |
|
Single-step genomic prediction models for metabolic body weight in Nordic Holstein, Red dairy cattle, and Jersey |
| 16:45 |
|
K.A. Bakke |
|
Genetic correlations between daily dry matter intake, body weight and enteric methane in Norwegian Red dairy cows |
| 17:00 |
|
N. Mejer |
|
Breeding for resilience in the Netherlands and Flanders |
| 17:15 |
|
C. Manzanilla-Pech |
|
Effect of heat stress on methane emissions of Dutch Holstein population |
| 17:30 |
|
N. Gengler |
|
Next steps towards the development of a collaborative genomic evaluation system for residual methane production in Walloon Holstein cows |
| |
|
|
|
|
|
|
|
Tuesday,
May 21
Tuesday,
May 21
|
Session IV: Single Step Methodology
Chair: Gert Pedersen Aamand
|
08:30 |
|
R. Bonifazi |
|
Multi-breed multi-trait single-step genomic predictions for Holstein and Jersey including crossbred animals |
| 08:45 |
|
D. Słomian |
|
Differential handling of missing parents in genetic evaluation of dairy cattle using single step test day SNP-BLUP model |
| 09:00 |
|
A. Legarra |
|
Technical options for all-breed Single Step GBLUP for US dairy cattle |
| 09:15 |
|
H. Alkhoder |
|
A weekly genomic evaluation of newly genotyped selection candidates based on a single-step genomic model |
| 09:30 |
|
R. Rostellato |
|
Genomic-free EBVs computed from Single-Step evaluations as proofs for MACE in France |
| 09:45 |
|
Z. Liu |
|
Guidelines for Approximating Genomic Reliabilities of the Single-Step Genomic Model |
| 10:00 |
|
K. Stachowicz |
|
Single-step evaluation for milking cow survival in Poland |
| 10:15 |
|
A. Chegini |
|
Improving single-step genomic prediction reliabilities for clinical mastitis in Nordic Red dairy cattle and Jersey by applying marker-specific weights |
| |
|
|
|
|
|
|
Session V: New Developments in genetic/genomic (inter)-national evaluation
Chair: Urs Schnyder
|
11:00 |
|
H. Eding |
|
Incorporation of external GEBV in the Dutch-Flemish dairy genetic evaluation |
| 11:15 |
|
E.C. Ooi |
|
Designing a Validation Application for Genetic and Genomic Evaluation Systems in the New Zealand Dairy Industry |
| 11:30 |
|
R. Mota |
|
Genomic validation software: USA update including truncated MACE |
| 11:45 |
|
J. Himmelbauer |
|
Modeling unknown parent groups or metafounders in single step genomic BLUP – results of a simulation study |
| 12:00 |
|
B. Cuyabano |
|
Genetic correlations: a parameter or a latent phenotype in genetic evaluations? |
| 12:15 |
|
J. Vandenplas |
|
Integration of foreign estimates of SNP effects into a single-step genomic evaluation |
| 12:30 |
|
H. Kärkkäinen |
|
SNP MACE for EuroGenomics countries |
| 12:45 |
|
A. Nazari |
|
PREP Database: Extension to Genomic Evaluation |
| 13:00 |
|
M. Shaffer |
|
Closing of Interbull Open Meeting |
