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 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 Oseni, S.
Right arrow Articles by Rekaya, R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Oseni, S.
Right arrow Articles by Rekaya, R.
J. Dairy Sci. 87:3022-3028
© American Dairy Science Association, 2004.

Genetic Components of Days Open Under Heat Stress

S. Oseni, I. Misztal, S. Tsuruta and R. Rekaya

Department of Animal and Dairy Science, The University of Georgia, Athens 30602-2771

Corresponding author: S. Tsuruta; e-mail: shogo{at}uga.edu.

A reaction norm approach was used to estimate the genetic parameters of days open (DO) with a model that accounted for heat stress. Data included DO records for Georgia, Tennessee, and North Carolina in the Southeastern United States. A fixed effect model included herd-year, month of calving (MOC), age of cow, and a regression on 305-d milk yield. The reaction norm model additionally included the effect of animal with random regression on a heat stress index (HI), calculated as the standardized solutions to MOC derived from the fixed effect model; the residual variance was assumed to be a function of the HI. The shape of the distribution of the HI was close to a sinusoidal function with the highest value in March/April and the lowest value in September. Genetic and residual variances and heritabilities were highest for spring calvings and lowest for fall calvings. The variance associated with the random regression of the highest level of HI was 33% of the genetic variance of the regular animal genetic effect. Genetic correlation between these effects was 0.67. As a validation, DO data were grouped into 4 seasons of calving and treated as different traits. A 4-trait mixed linear model that included the fixed effects listed above except MOC, was used to analyze the grouped data. In general, the estimates of genetic and residual variances of the multiple trait analyses followed those of the reaction norm model. Genetic correlations of spring with summer, and fall with winter were both 0.90. Genetic correlations between spring/summer and fall/winter were around 0.80. The reaction norm model for DO allows inexpensive genetic evaluation of fertility under heat stress. Results of such an evaluation may strongly depend on editing criteria and model specifications.

Key Words: days open • heat stress index • reaction norm • random regression model

Abbreviation key: DO = days open, HI = heat stress index, MOC = month of calving, NR = nonreturn rate, THI = temperature-humidity index, VWP = voluntary waiting period




This article has been cited by other articles:


Home page
J DAIRY SCIHome page
C. Huang, S. Tsuruta, J. K. Bertrand, I. Misztal, T. J. Lawlor, and J. S. Clay
Trends for conception rate of Holsteins over time in the southeastern United States
J Dairy Sci, September 1, 2009; 92(9): 4641 - 4647.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
M. Pszczola, I. Aguilar, and I. Misztal
Short communication: Trends for monthly changes in days open in Holsteins
J Dairy Sci, September 1, 2009; 92(9): 4689 - 4696.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
G. Su, P. Madsen, and M. S. Lund
Reaction norm model with unknown environmental covariate to analyze heterosis by environment interaction
J Dairy Sci, May 1, 2009; 92(5): 2204 - 2213.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
M. Haile-Mariam, M. J. Carrick, and M. E. Goddard
Genotype by Environment Interaction for Fertility, Survival, and Milk Production Traits in Australian Dairy Cattle
J Dairy Sci, December 1, 2008; 91(12): 4840 - 4853.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
C. Huang, S. Tsuruta, J. K. Bertrand, I. Misztal, T. J. Lawlor, and J. S. Clay
Environmental Effects on Conception Rates of Holsteins in New York and Georgia
J Dairy Sci, February 1, 2008; 91(2): 818 - 825.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
M. M. Shariati, G. Su, P. Madsen, and D. Sorensen
Analysis of Milk Production Traits in Early Lactation Using a Reaction Norm Model with Unknown Covariates
J Dairy Sci, December 1, 2007; 90(12): 5759 - 5766.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
M. J. Haskell, S. Brotherstone, A. B. Lawrence, and I. M. S. White
Characterization of the Dairy Farm Environment in Great Britain and the Effect of the Farm Environment on Cow Life Span
J Dairy Sci, November 1, 2007; 90(11): 5316 - 5323.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
J. J. Windig, M. P. L. Calus, B. Beerda, and R. F. Veerkamp
Genetic Correlations Between Milk Production and Health and Fertility Depending on Herd Environment
J Dairy Sci, May 1, 2006; 89(5): 1765 - 1775.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2004 by the American Dairy Science Association ®.