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Estimation of Genetic Parameters from Multiple Trait Selection Experiments¹

University of Winsconsin, Madison 53706

Abstract

The precision of estimates of realized genetic parameters obtained from multiple-selection experiments is considered. Statistical optimality theory is used in conjunction with Monte-Carlo techniques to investigate the relationship between index weight and the variability of the estimates. Results indicate that arbitrary choice of index weights is ill advised, and that with some prior knowledge (or good guesses) about the magnitudes of the genetic parameters, index weights can be identified that yield estimates with predictable variation.

¹ Research supported by the College of Agricultural and Life Sciences, Univ. of Wisconsin, Madison and by USDA-SEA. Hatch formula funds; 1337. This is paper number 776 From the Dept. of Meat and Anim. Sci.

² Dept. of Meat and Anim. Sci., Univ. of Wisconsin, Madison

³ Dept. of Dairy Sci. and Dept. of Statist., Univ. of Wisconsin, Madison.

⁴ Present address: Dept. Anim. Sci., North Carolina A and T Univ., Greensboro, NC 27411.

⁵ Present address: Sandoz Pharmaceuticals, Rt. 10, Box 11, East Hanover, NJ 07936.