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 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 HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Strabel, T.
Right arrow Articles by Jamrozik, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Strabel, T.
Right arrow Articles by Jamrozik, J.
J. Dairy Sci. 89:3152-3163
© American Dairy Science Association, 2006.

Genetic Analysis of Milk Production Traits of Polish Black and White Cattle Using Large-Scale Random Regression Test-Day Models

T. Strabel*,1 and J. Jamrozik{dagger},{ddagger}

* Agricultural University of Poznan, Department of Animal Genetics and Breeding, Wolynska 33, 60-637 Poznan, Poland
{dagger} Centre for Genetic Improvement of Livestock, Department of Animal and Poultry Science, University of Guelph, ON, N1G 2W1, Canada
{ddagger} National Research Institute of Animal Production, Department of Animal Genetics and Breeding, 32-083 Balice k. Krakowa, Poland

1 Corresponding author: strabel{at}man.poznan.pl

Genetic parameters for milk, fat, and protein yield and persistency in the first 3 lactations of Polish Black and White cattle were estimated. A multiple-lactation model was applied with random herd-test-day effect, fixed regressions for herd-year and age-season of calving, and random regressions for the additive genetic and permanent environmental effects. Three data sets with slightly different edits on minimal number of days in milk and the size of herd-year class were used. Each subset included more than 0.5 million test-day records and more than 58,000 cows. Estimates of covariance components and genetic parameters for each trait were obtained by Bayesian methods using the Gibbs sampler. Due to the large size and a good structure of the data, no differences in estimates were found when additional criteria for record selection were applied. More than 95% of the genetic variance for all traits and lactations was explained by the first 2 principal components, which were associated with the mean yield and lactation persistency. Heritabilities of 305-d milk yield in the first 3 lactations (0.18, 0.16, 0.17) were lower than those for fat (0.12, 0.11, 0.12) and protein (0.13, 0.14, 0.15). Estimates of daily heritabilities increased in general with days in milk for all traits and lactations, with no apparent abnormalities at the beginning or end of lactation. Genetic correlations between yields in different lactations ranged from 0.74 (fat yield in lactations 1 and 3) to 0.89 (milk yield in lactations 2 and 3). Persistency of lactation was defined as the linear regression coefficient of the lactation curve. Heritability of persistency increased with lactation number for all traits and genetic correlations between persistency in different lactations were smaller than those for 305d yield. Persistency was not genetically correlated with the total yield in lactation.

Key Words: dairy cattle • test-day yield • persistency • random regression model




This article has been cited by other articles:


Home page
J DAIRY SCIHome page
J. Bohmanova, F. Miglior, and J. Jamrozik
Use of test-day records beyond three hundred five days for estimation of three hundred five-day breeding values for production traits and somatic cell score of Canadian Holsteins
J Dairy Sci, October 1, 2009; 92(10): 5314 - 5325.
[Abstract] [Full Text] [PDF]


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