Genetics, Breeding, & Animal Health Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
 
Programs and Projects
Subjects of Investigation
 

Title: GENETIC CORRELATIONS AMONG CARCASS TRAITS ADJUSTED FOR AGE, WEIGHT OR FATNESS

Author
item Van Vleck, Lloyd

Submitted to: Journal of Animal Science Supplement
Publication Type: Abstract Only
Publication Acceptance Date: March 1, 1998
Publication Date: N/A

Technical Abstract: Carcass traits of beef cattle can be expressed on age, weight, or fatness constant basis. These definitions imply that a measured trait could be considered as three traits with different heritabilities and with genetic correlations among the traits. Carcass measurements of 1,292 steers sired by 409 Shorthorn sires were analyzed with REML. The models and measurements sfor the three subtraits were the same (herd, year, kill group) except for the linear covariates of slaughter age (336 to 865 d), hot carcass weight (220 to 477 kg), and fat depth at 12th rib (0 to 28 mm) with the subtraits denoted in that order. The estimates of genetic correlations between subtraits 1 and 2, 1 and 3, and 2 and 3 were: dressing percent, .99, .63, .64; kidney-pelvic-heart fat percent, .81, .64, .97; marbling score, .80, .66, .98; and ribeye area (cm2), 1.00, .97, .97. Heritability estimates were also different for the subtraits even though the measured records were ethe same: dressing percent, .60, .56, .70; KPH, .53, .39, .33; marbling, .53, .37, .32; and ribeye area, .55, .56, .33. Environmental correlations ranged from .49 to 1.00 depending on trait and subtraits. Phenotypic variances were the largest based on fat depth except for dressing percent. These results based on a relatively small sample suggest that some carcass traits when adjusted for age, weight, or fat thickness should be considered different traits. Conversion of estimated progeny differences from one basis to another can be done with estimates of genetic correlations and heritabilities for the subtraits.

   
 
 
Last Modified: 05/24/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House