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Defining valid breeding goals for animal breeds
Robin Wellmann1, Nicolas Gengler2, Jörn Bennewitz3
1Department of Animal Genetics and Breeding, University of Hohenheim, 70599, Stuttgart, Germany. r.wellmann@uni-hohenheim.de.
A new animal breeding approach uses the niche concept to define breed suitability beyond profit. This method optimizes breeding goals by considering producer and consumer satisfaction, ensuring a valid breeding goal for diverse owner needs.
Area of Science:
- Animal breeding
- Quantitative genetics
- Population genetics
Background:
- Traditional animal breeding programs optimize goals assuming profit maximization.
- This assumption is often inaccurate, necessitating a generalized approach.
- A valid breeding program must increase a breed's suitability for its intended purpose.
Purpose of the Study:
- To develop a generalized approach for optimizing breeding goals in animal breeding.
- To move beyond the profit maximization assumption in breeding programs.
- To incorporate broader owner and consumer satisfaction into breeding goal optimization.
Main Methods:
- The study introduces a generalized approach based on the "niche concept."
- A breed's niche is defined as environments supporting positive population growth.
- The approach identifies trait optima for maximizing adaptation to an envisaged niche, replacing the profit function with an adaptedness function.
Main Results:
- The generalized approach defines breed niche based on environmental factors and population growth.
- Breed adaptation is measured by producer and consumer satisfaction with animals and products.
- The method identifies trait optima for maximizing adaptation within permissible breeding goals.
Conclusions:
- The proposed approach aligns with traditional methods only if profit is the sole motive and prices reflect consumer preferences.
- When profit maximization or accurate price reflection is not met, traditional methods may yield invalid breeding goals.
- This niche-based approach offers a more valid framework, particularly for companion breeds, filling a critical gap in breeding goal optimization.
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