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

Tuusula, Finland, March 18-20 1999

Published: 2012-03-05

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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