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Selection for carcass and feedlot traits considering alternative slaughter end points and optimized management
1Victorian Institute of Animal Science, Department of Agriculture, Melbourne, Australia.
Journal of Animal Science
|January 1, 1996
Summary
Optimizing animal genetics for profit requires considering management factors. Economic weights for selection indexes remain equivalent across different slaughter strategies when management is genotype-specific.
Area of Science:
- Animal breeding and genetics
- Agricultural economics
- Livestock production systems
Background:
- Profitability in animal agriculture is influenced by both animal genetics and management practices.
- Current selection indexes may not fully account for the complex interplay between genotype and management variables.
- Optimizing slaughter parameters (age, weight, or fat depth) is crucial for maximizing economic returns.
Purpose of the Study:
- To investigate the impact of different management variable parameterizations on economic weights for genetic selection.
- To determine if economic weights are equivalent across various slaughter strategies (age, weight, or fat depth constant).
- To provide a framework for calculating selection indexes that accommodate diverse commercial production systems.
Main Methods:
- Defined profit as a function of animal genotype and management-controlled variables.
- Examined alternative parameterizations of management variables, focusing on age, weight, and fat depth at slaughter.
- Calculated economic weights and selection index weights for different genotype-management combinations in beef feedlot production.
Main Results:
- Economic weights for genetic variables were found to be equivalent across different management parameterizations, provided management is optimized for the current genotype.
- Selection indexes can be effectively calculated using age-constant endpoints, even when commercial slaughter is based on weight or fat depth.
- Economic and selection index weights are dependent on average genotypic means and specific management factors (feeding and marketing).
Conclusions:
- Management optimization is key to achieving equivalent economic weights for genetic selection across different slaughter strategies.
- The findings support the practical application of selection indexes for profit improvement in livestock, accommodating varied commercial realities.
- Genotype-specific management strategies are essential for maximizing profitability in livestock production.