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Defining desired genetic gains for rainbow trout breeding objective using analytic hierarchy process
1Animal Breeding and Genomics Centre, Wageningen University, Wageningen, the Netherlands. panya.sae@wur.nl
Rainbow trout breeding programs can be optimized by using the Analytic Hierarchy Process (AHP) and Weighted Goal Programming (WGP) to determine desired genetic gains. Trait preferences vary based on commercial products and farming environments, influencing breeding goals.
Area of Science:
- Aquaculture
- Animal Breeding
- Quantitative Genetics
Background:
- Global distribution of animals from single breeding programs may not meet diverse producer needs.
- Market objectives and farming environments significantly influence producer requirements for breeding traits.
- Existing breeding programs may lack tailored genetic gain strategies for specific market demands.
Purpose of the Study:
- To utilize an Analytic Hierarchy Process (AHP)-Weighted Goal Programming (WGP) approach to establish desired genetic gains for rainbow trout breeding.
- To investigate variations in breeding trait preferences based on commercial products and farming environments.
- To quantify the impact of market demand and production environment on breeding program objectives.
Main Methods:
- Distribution of two questionnaires: Q-A for commercial products/farming environments and Q-B for pairwise trait comparison.
- Application of AHP to estimate individual and social preferences for 13 potential breeding traits.
- Aggregation of preferences using WGP to derive consensus preferences (Con-P) and calculate desired genetic gains (G%).
Main Results:
- The six most important traits identified were thermal growth coefficient (TGC), survival (Surv), feed conversion ratio (FCR), condition factor (CF), fillet percentage (FIL%), and late maturation (LMat).
- Consensus preferences ranked traits as: Surv (0.271), FCR (0.246), TGC (0.246), LMat (0.090), FIL% (0.081), and CF (0.067).
- Desired genetic gains varied across traits, with notable differences indicating potential for tailored breeding strategies.
Conclusions:
- The AHP-WGP combination effectively derives desired genetic gains for breeding programs.
- Trait preferences demonstrably vary according to commercial production type and farming environment.
- This methodology allows for the quantification of differences in breeding goals driven by market and environmental factors.
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