JDS
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Journal of Dairy Science Vol. 82 No. 9 2054-
© 1999 by American Dairy Science Association ®
This Article
Right arrow Full Text (PDF)
Right arrow Full-Length PDF
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Druet, T.
Right arrow Articles by Gengler, N.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Druet, T.
Right arrow Articles by Gengler, N.

Use of Multitrait Evaluation Procedures to Improve Reliability of Early Prediction of Survival

T. Druet 1, J. Sölkner 1, and N. Gengler 1

1 National Fund for Scientific Research, B-1000 Brussels, Belgium, Animal Science Unit, Gembloux Agricultural University, B-5030 Gembloux, Belgium Department of Livestock Science, University of Agriculture, A-1180 Vienna, Austria

Multitrait, across-country evaluation procedures were adapted to improve reliability of survival breeding values by combining direct information with yield and functional traits: milk persistency, somatic cell count, fertility (male and female), and calving ease (direct and maternal). A set of bulls was selected from the Austrian Simmental population based on mean original reliabilities of at least 0.50 for yield traits or of at least 0.20 for functional traits. Only breeding values above these limits were retained. The breeding values were deregressed, assuming that they were obtained by single-trait, sire-maternal grandsire models. An expectation-maximization restricted maximum likelihood algorithm based on the multitrait, across-country evaluation equations was used to compute genetic correlations among all of these traits. These equations were solved, and the reliabilities of the solutions were also estimated. Mean rank correlation between direct and combined breeding values was 0.85 with values as low as 0.67 for the group of youngest bulls. Direct (original), indirect, and combined reliabilities were compared to appreciate the impact of our procedures on improvement of reliability of survival breeding values. This improvement, dependent on the level of reliability of direct and indirect information, could be up to 0.24 for animals with low direct reliability and high indirect reliability. For young bulls born in 1992 without reliable direct survival information but with already reliable information on yield and functional traits, mean reliability improvement was 0.13. For all bulls this value was still 0.06.

Key Words: multitrait • across-country evaluation • survival • functional traits • genetic correlations

Submitted on January 27, 1999
Accepted on July 6, 1999




This article has been cited by other articles:


Home page
J DAIRY SCIHome page
J. Lassen, M. K. Sorensen, P. Madsen, and V. Ducrocq
A Stochastic Simulation Study on Validation of an Approximate Multitrait Model Using Preadjusted Data for Prediction of Breeding Values
J Dairy Sci, June 1, 2007; 90(6): 3002 - 3011.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 1999 by the American Dairy Science Association ®.