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


     


Journal of Dairy Science Vol. 82 No. 1 226-
© 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 Tijani, A.
Right arrow Articles by Gengler, N.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Tijani, A.
Right arrow Articles by Gengler, N.

Use of (Co)Variance Functions to Describe (Co)Variances for Test Day Yield

A. Tijani 1, G. R. Wiggans 2, C. P. Van Tassell 3, J. C. Philpot 2, and N. Gengler 4

1 Unité de Zootechnie, Faculté Universitaire des Sciences Agronomiques, B-5030 Gembloux, Belgium
2 Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350
3 Animal Improvement Programs Laboratory and Gene Evaluation and Mapping Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350
4 Unité de Zootechnie, Faculté Universitaire des Sciences Agronomiques, B-5030 Gembloux, Belgium and Fonds National Belge de la Recherche Scientifique B-1000 Brussels, Belgium

(Co)variance functions for milk, fat, and protein yields during first lactation were developed from (co)variance components for four lactation stages of 75 d each that had been previously estimated using test day data from 17,190 Holstein cows from 37 herds in Pennsylvania and Wisconsin. The (co)variance functions were evaluated at 18, 43, 68, 93, 118, 143, 168, 193, 218, 243, 268, and 293 d in milk. Residuals were subdivided into time-dependent (permanent) and temporary environmental effects for estimation of (co)variance functions. Mean relative variance (portion of total variance) for time-dependent environmental effects was 0.50 for milk yield and 0.51 for fat and protein yields. Heritability estimates generally were lower at the start and end of lactation and were highest for milk yield; mean heritability estimates were 0.20 for milk, 0.16 for fat, and 0.17 for protein yields. Phenotypic and genetic correlations were higher between milk and protein yields than between milk and fat yields. Within yield traits, genetic correlations declined from ge0.93 for adjacent lactation stages to 0.52 for milk, 0.58 for fat, and 0.60 for protein between initial and final lactation stages. Within lactation stage, mean genetic correlations were 0.40 between milk and fat yields, 0.78 between milk and protein yields, and 0.55 between fat and protein yields; corresponding mean phenotypic correlations were 0.65, 0.92, and 0.67. The (co)variance function methodology allowed interpolation and extension of (co)variance components over the entire lactation.

Key Words: (co)variance function • test day model • variance component estimation

Submitted on March 16, 1998
Accepted on September 5, 1998




This article has been cited by other articles:


Home page
J DAIRY SCIHome page
H. Hammami, B. Rekik, H. Soyeurt, A. Ben Gara, and N. Gengler
Genetic Parameters for Tunisian Holsteins Using a Test-Day Random Regression Model
J Dairy Sci, May 1, 2008; 91(5): 2118 - 2126.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
N. Gengler, G. R. Wiggans, and A. Gillon
Estimated Heterogeneity of Phenotypic Variance of Test-Day Yield with a Structural Variance Model
J Dairy Sci, June 1, 2004; 87(6): 1908 - 1916.
[Abstract] [Full Text] [PDF]




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