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


     


This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Interpretive Summary
Right arrow An erratum has been published
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 Similar articles in PubMed
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 Google Scholar
Google Scholar
Right arrow Articles by Karacaören, B.
Right arrow Articles by Kadarmideen, H. N.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Karacaören, B.
Right arrow Articles by Kadarmideen, H. N.
J. Dairy Sci. 89:791-798
© American Dairy Science Association, 2006.

Genetic Parameters for Functional Traits in Dairy Cattle from Daily Random Regression Models

B. Karacaören*,1, F. Jaffrézic{dagger} and H. N. Kadarmideen*

* Statistical Animal Genetics Group, Institute of Animal Science, Swiss Federal Institute of Technology, ETH Centrum, Zurich CH 8092, Switzerland
{dagger} INRA Quantitative and Applied Genetics, 78352 Jouy-en-Josas Cedex, France

1 Corresponding author: burak.karacaoeren{at}inw.agrl.ethz.ch

The objective of the research was to estimate genetic parameters, such as heritabilities and genetic correlations, using daily test day data for milk yield (MY), milking speed (MS), dry matter intake (DMI), and body weight (BW) using random regression methodology. Data were from first lactation dairy cows (n = 320) from the Chamau research farm of the Swiss Federal Institute of Technology, Switzerland over the period from April 1994 to 2004. All traits were recorded daily using automated machines. Estimated heritabilities (h2) varied from 0.18 to 0.30 (mean h2 = 0.24) for MY, 0.003 to 0.098 (mean h2 = 0.03) for MS, 0.22 to 0.53 (mean h2 = 0.43) for BW, and 0.12 to 0.34 (mean h2 = 0.23) for DMI. A permanent environmental effect was included in both the univariate and bivariate models, but was assumed constant in estimating some genetic correlations because of convergence problems. Estimated genetic correlations varied from 0.31 to 0.41 between MY and MS, from –0.47 to 0.29 between MY and DMI, from –0.60 to 0.54 between MY and BW, from 0.17 to 0.26 between MS and DMI, from –0.18 to 0.25 between MS and BW, and from –0.89 to 0.29 between DMI and BW. Genetic correlations for MY, MS, DMI, and BW from calving to midlactation decreased similarly to 0.40, 0.36, 0.14, and 0.36 and, at the end of the lactation, decreased to –0.06, 0.23, –0.07, and 0.09, respectively. Daily genetic variance-covariance of many functional traits are reported for the first time and will be useful when constructing selection indexes for more than one trait based on longitudinal genetic parameters.

Key Words: functional trait • production trait • genetic parameter • daily random regression model







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2006 by the American Dairy Science Association ®.