Genetic analysis of carcass traits in beef cattle using random regression models
Journal of Animal Science
|May 3, 2016
Summary
Genetic profiles influence cattle growth and carcass traits. Understanding sire-level genetic variability in carcass weight, conformation, and fat is key for optimizing breeding programs and improving livestock management.
Area of Science:
- Animal Genetics
- Quantitative Genetics
- Livestock Science
Background:
- Livestock maturation rates vary based on genetic merit, impacting optimal slaughter timing.
- Sire genetics play a crucial role in determining progeny carcass characteristics.
Purpose of the Study:
- To analyze sire-level genetic profiles for carcass weight, conformation, and fat in diverse cattle breeds.
- To understand genetic variability in cattle growth trajectories for carcass traits.
Main Methods:
- Utilized slaughter records from over 250,000 cattle across multiple breeds and ages.
- Employed sire random regression models with quadratic polynomials to estimate variance components and heritability.
- Assumed heterogeneous residual variances across different ages at slaughter.
Main Results:
- Heritability estimates for carcass traits varied by gender and age, with significant genetic correlations across ages (>0.64).
- Identified genetic variability in growth profiles, primarily related to overall growth height.
- Found positive genetic correlations between carcass weight and conformation, and negative correlations with fatness at the same age.
Conclusions:
- Genetic parameters reveal substantial variability in cattle growth trajectories.
- This genetic variability can be leveraged in selective breeding programs.
- Findings support the development of decision support tools for optimizing livestock production.
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