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Selection index updating.

S Xu1, W M Muir

  • 1Department of Animal Science, Purdue University, 47907, W. Lafayette, IN, USA.

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|November 9, 2013
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Summary
This summary is machine-generated.

Independent culling levels can improve economic returns in animal breeding when trait measurement timing or costs vary. This study extends a new method for multi-stage selection, optimizing breeding strategies with explicit solutions.

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Area of Science:

  • Quantitative genetics
  • Animal breeding and genetics

Background:

  • Independent culling levels (ICL) can be economically superior to index selection when trait measurement timing or costs differ.
  • Traditional ICL methods lack general solutions, often requiring numerical integration.
  • Orthogonal transformation methods offer explicit solutions but were previously limited to single-trait selection stages.

Purpose of the Study:

  • To extend the orthogonal transformation method for multi-stage index selection, termed selection index updating.
  • To develop a procedure for optimizing breeding strategies considering varying trait availability and measurement costs.
  • To enable partitioning of aggregate economic gain by selection stage.

Main Methods:

  • Developed sequential, uncorrelated selection indices for each stage of multi-stage selection.
  • Utilized Xu and Muir's (1991) iterative equations to determine optimal culling points.
  • Applied methods to optimize for maximum aggregate economic return per unit of measurement cost.
  • Demonstrated the procedure with data from Rhode Island Red layer type chickens.

Main Results:

  • The selection index updating procedure allows for explicit solutions in multi-stage selection.
  • Orthogonality of updated indices enables partitioning of aggregate economic gain.
  • The method successfully optimizes multi-stage selection considering economic return and measurement costs.
  • Examples illustrate practical application in poultry breeding.

Conclusions:

  • Selection index updating provides a generalized and efficient method for multi-stage breeding programs.
  • The procedure allows breeders to balance selection intensity with available resources at each stage.
  • This approach enhances the economic efficiency of breeding strategies with complex trait structures.