No. 20 (1999): Proceedings of the computational cattle breeding '99 workshop

Articles

• Preface

  J Juga

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• The CEBUS project: history and overview

  M Larsen, P Madsen

  3

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• Attacking the problem of scalability in parallel Gauss-Seidel and Jacobi solvers for mixed model equations

  P Madsen, M Larsen

  11

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• Fast and flexible program for genetic evaluation in dairy cattle

  M Lindauer, I Strandén

  20

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• Parallel benefits in test day evaluations

  I Stradén

  26

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• Complex models, more data: simpler programming?

  I Misztal

  33

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• A brief bibliography of recent research and software for the parallel solution of large sparse linear equations

  I S Duff

  43

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• Benefits of parallel processing in stochastic simulations of fish breeding programs

  I Olesen, J Amundsen

  47

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• Posterior explorations of Markov chains in Bayesian analysis of discrete finite mixture models

  P M Saama

  51

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• MCMC based estimation of variance components in a very large dairy cattle data set

  L Janss, G de Jong

  63

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• Prospects for statistical methods in dairy cattle breeding

  R Thompson, E A Mäntysaari

  71

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• Multivariate Bayesian analysis of Gaussian, right censored Gaussian, ordered categorical and binary traits using Gibbs sampling

  I R Korsgaard, M S Lund, D Sorensen, D Gianola, P Madsen, J Jensen

  79

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• Iterative solution of random regression models by sequential estimation of regressions and effects on regressions

  N Gengler, A Tijani, G R Wiggans

  93

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• The structure of the residual error variance of test day milk yield in random regression models

  V E Olori, W G Hill, S Brotherstone

  103

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• Future development in genetic evaluation of Danish dairy cattle

  J Pedersen, G E Pedersen, U S Nielsen, P Madsen

  109

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• Impact of national evaluation models on international comparisons

  U Emanuelson, F Fikse, G Banos

  115

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