Comparison of two computing algorithms for solving mixed model equations for multiple trait random regression test day models-Reference-Cited by-同舟云学术

Comparison of two computing algorithms for solving mixed model equations for multiple trait random regression test day models

Published:2000-12 Issue:1-2 Volume:67 Page:143-153
ISSN:0301-6226
Container-title:Livestock Production Science
language:en
Short-container-title:Livestock Production Science

Author:

Jamrozik J.,Schaeffer L.R.

Publisher

Elsevier BV

Subject

General Veterinary,Animal Science and Zoology

Reference17 articles.

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2. Iterative solving of random regression models by sequential estimation of regressions and effects affecting regressions;Gengler;Interbull. Bulletin,1999

3. Genetic evaluation of dairy cattle using test day yields and random regression model;Jamrozik;J. Dairy Sci.,1997

4. Genetic parameters for production traits and somatic cell score of Canadian Holsteins with multiple trait random regression model;Jamrozik;Proceedings of the 6th WCGALP, Armidale,1998

5. Fast and flexible program for genetic evaluation in dairy cattle;Lidauer;Interbull. Bulletin,1999

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