No. 31 (2003): Proceedings of the 2003 Interbull meeting

Rome, Italy, August 28-30 2003

Published: 2012-03-09

Articles

Preface

U Emanuelson
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Integrated detection and correction of outliers in a random regression test-day model

P Mayeres, A Gillon, N Gengler

3
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Quality control of national genetic evaluation results using data-mining techniques; a progress report

G Banos, P A Mitkas, Z Abas, A L Symeonidis, G Milis, U Emanuelson

8
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Calculation and use of daughter yield deviations and associated reliabilities of bulls under multiple trait models

Z Liu, A Bünger, F Reinhardt, R Reents

16
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Validation of genetic evaluation methodology using the nonparametric bootstrap method

J I Weller, U Emanuelson, E Ezra

26
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Procedure for validation of trends in genetic variance

W F Fikse, L Klei, Z Liu, P G Sullivan

30
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A test of ignorability of selection under the infinitesimal model: A preliminary report

H Jorjani, D Gianola

37
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Multivariate genetic evaluation for calving ease and stillbirth in Austria and Germany

C Fuerst, C Egger-Danner

47
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A joint Nordic model for fertility traits

A Fogh, A Roth, O Maagaard Pedersen, J-Å Eriksson, J Juga, M Toivonen, I Ranberg, T Steine, U Sander Nielsen, G Pedersen Aamand

52
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Joint Nordic genetic evaluation for mastitis

B Heringstad, U Sander Nielsen, J Pösö, J-Å Eriksson, M Svendsen

56
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Prediction of UK fertility proofs for foreign bulls

E Wall, V E Olori, M P Coffey, S Brotherstone

60
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Outline of a procedure to calculate weighting factors for models with maternal effects

J H Jakobsen, W F Fikse, Z Liu, P Sullivan

65
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Genetic analysis of herd life in Canadian dairy cattle on a lactation basis using the Survival Kit

A Sewalem, G J Kistemaker, B Van Doormaal

73
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Improving the quality of the genetic evaluation for functional longevity in Italy

F Canavesi, S Biffani, F Biscarini

77
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Genetic analysis of type traits for the Italian Jersey breed

F Biscarini, S Biffani, F Canavesi

80
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Calculation of the economic weight for somatic cell count for inclusion in the New Zealand dairy cattle breeding objective

A M Winkelman, B L Harris, W A Montgomerie, J E Pryce

84
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Genetic evaluation of somatic cell scores using a random regression test day model for a very large dairy cattle population

Z Liu, F Reinhardt, A Bünger, J Jaitner, R Reents

88
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Use of a weighted random regression test-day model to better relate observed somatic cell score to mastitis infection likelihood

N Gengler, P Mayeres

92
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Genetic parameters of test-day somatic cell score estimated with a random regression model

A de Roos, A Harbers, G de Jong

97
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Relationships between calving traits in heifers and mature cows in Australia

S McClintock, K Beard, A Gilmour, M Goddard

102
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Selection for energy balance in dairy cows

M P Coffey, G Simm, W G Hill, S Brotherstone

107
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Calculation of multiple-trait sire reliability for fertility traits

G Banos, S Brotherstone, R Thompson, J A Woolliams, E Wall, M P Coffey

112
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Effect of including inbreeding, heterosis and recombination loss in prediction of breeding values for fertility traits

E Wall, S Brotherstone, J F Kearney, J A Woolliams, M P Coffey

117
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Genetic relationship between milk yields, calving ease and days open at first lactation of Holstein cows in Korea

D H Lee, K J Han, B H Park

122
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Approximate prediction error covariances among multiple estimated breeding values for individuals

K Meyer, B Tier

133
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Results from a joint progeny testing program in Simmental

J Dodenhoff, C Egger-Danner, S Mattalia

137
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Comparison of national, MACE, and borderless genetic evaluations in Holstein populations

C Maltecca, A Bagnato, K A Weigel

145
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A first attempt of an international genetic evaluation of beef breeds in Europe

G Renand, D Laloë, R Quintanilla, M N Fouilloux

151
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International beef cattle genetic evaluation in the United States and the role of the National Beef Cattle Evaluation Consortium

K D Bullock, E J Pollak, J K Bertrand, D Garrick, M Enns, B Weaber, D e Wilson

156
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Across country genetic evaluation of beef traits in Middle European dual purpose breeds

H.J. Schild, E. Niebel, K.-U. Götz

158
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An essay on Interbull evaluations from an AI-industry perspective

S van der Beek

165
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Interbull proofs are a reasonably unbiased prediction of future performance in Australia for imported bulls

S McClintock, K Beard, R Poole

169
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Accuracy of foreign dairy bull evaluations in predicting US evaluations for yield

R L Powell, A H Sanders, H D Norman

171
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Application of a structural model to estimate genetic correlations between countries

S Minéry, W F Fikse, V Ducrocq

175
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Analysis of genetic groups in MACE evaluations with different time-edit on data

F Miglior, P G Sullivan, B J Van Doormaal

180
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Multi-country evaluation to study the impact of genotype by model interaction

C van der Linde, G de Jong

185
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Implementation of a test day model for production traits in the UK

R A Mrode, G Swanson, M F Paget

193
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Comparison of random regression test-day models for production traits of dairy cattle in Poland

T Strabel, J Szyda, E Ptak, J Jamrozik

197
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The Canadian test day model using Legendre polynomials

G J Kistemaker

202
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List of participants

U Emanuelson

205
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