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 Pryce, J. E.
Right arrow Articles by Harris, B. L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Pryce, J. E.
Right arrow Articles by Harris, B. L.
J. Dairy Sci. 89:4424-4432
© American Dairy Science Association, 2006.

Genetics of Body Condition Score in New Zealand Dairy Cows

J. E. Pryce1 and B. L. Harris

Livestock Improvement Corporation Ltd., Private Bag 3016, Hamilton, New Zealand

1 Corresponding author: jpryce{at}lic.co.nz

Body condition score (BCS) data were collected on 169,661 first-parity cows from herds participating in progeny testing schemes and linear type assessment. Genetic and residual variances for BCS estimated across time using a quadratic random regression model were found to be largest at the start of lactation. Heritability estimates ranged from 0.32 to 0.23 from d 1 to 200 of lactation, with a mean of 0.26. Genetic correlations between BCS and other traits were estimated using 2 approaches: 1) a multivariate analysis that included BCS and live weight, both adjusted for stage of lactation; 270-d cumulative yields of milk, fat, and protein; average somatic cell score; and 2 measures of fertility; and 2) a bivariate random regression analysis in which BCS was considered to be a longitudinal trait across time, with the same measurements as in approach 1 for all other traits. Genetic correlations of BCS with the 2 fertility traits were 0.43 and 0.50 using the multivariate analysis; the corresponding random regression estimates between BCS as a longitudinal trait across time and 2 measures of fertility were 0.35 to 0.44 and 0.40 to 0.49, and tended to increase with stage of lactation. Genetic correlations estimated using the random regression model fluctuated around the multivariate estimates for live weight and somatic cell score, which were 0.50 and –0.12, respectively. Genetic correlations estimated using the multivariate analysis of BCS with fat and protein yields were close to zero. With the random regression model, genetic correlations between BCS and fat and protein yields were positive at d 1 of lactation (0.16 and 0.08, respectively) and were negative by d 200 of lactation (–0.25 and –0.20, respectively). In pastoral production systems, such as those typical in New Zealand, there appears to be an advantage in the total lactation yields of fat and protein for cows of higher BCS in early lactation, which is likely to be because these cows have body reserves that are available to be mobilized in later lactation, when feed resources are sometimes limited.

Key Words: random regression model • body condition score • fertility




This article has been cited by other articles:


Home page
Professional Animal ScientistHome page
J. M. Bewley and M. M. Schutz
Review: An Interdisciplinary Review of Body Condition Scoring for Dairy Cattle
Professional Animal Scientist, December 1, 2008; 24(6): 507 - 529.
[Abstract] [PDF]


Home page
J DAIRY SCIHome page
R. Dal Zotto, M. De Marchi, C. Dalvit, M. Cassandro, L. Gallo, P. Carnier, and G. Bittante
Heritabilities and Genetic Correlations of Body Condition Score and Calving Interval with Yield, Somatic Cell Score, and Linear Type Traits in Brown Swiss Cattle
J Dairy Sci, December 1, 2007; 90(12): 5737 - 5743.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
N. C. Friggens, P. Berg, P. Theilgaard, I. R. Korsgaard, K. L. Ingvartsen, P. Lovendahl, and J. Jensen
Breed and Parity Effects on Energy Balance Profiles Through Lactation: Evidence of Genetically Driven Body Energy Change
J Dairy Sci, November 1, 2007; 90(11): 5291 - 5305.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
J. R. Roche, D. P. Berry, J. M. Lee, K. A. Macdonald, and R. C. Boston
Describing the Body Condition Score Change Between Successive Calvings: A Novel Strategy Generalizable to Diverse Cohorts
J Dairy Sci, September 1, 2007; 90(9): 4378 - 4396.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
M. J. Auldist, G. O'Brien, D. Cole, K. L. Macmillan, and C. Grainger
Effects of Varying Lactation Length on Milk Production Capacity of Cows in Pasture-Based Dairying Systems
J Dairy Sci, July 1, 2007; 90(7): 3234 - 3241.
[Abstract] [Full Text] [PDF]




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