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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