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- W314762263 abstract "INTRODUCTION Selection of beef sires to improve a population of animals (either purebred or composite) and choice of sires to use in commercial production programs involving crossbreeding are two distinctly different aspects of beef cattle breeding. Selection based on the use of a linear additive breeding objective, even for non-linear economic functions, has been justified by Goddard (1983), using current genetic levels and optimal management. An example of the development of a linear additive breeding objective has been given by Wilton and Goddard (1996). The economic values were based on the classical approach of using the partial derivatives of the economic function with respect to changes in each genetic variable independently, evaluated at the current population means. Procedures for choosing sires for use in commercial production have, on the other hand, been based on absolute progeny performance for a variety of traits, as evaluated through a bio-economic model of production (e.g. Barwick et al., 1994 ; Wilton et al., 1998). Customization of evaluations is possible through these bio-economic models for variables such as price grids and population means as influenced by choices of breeds and crossbreeding programmes. The importance of customization in terms of considering price grids in evaluating sires has been shown by Wade et al. (2001). The objective of this paper is to compare the rankings of sires as evaluated using a linear additive breeding objective and as evaluated through a bio-economic modeling approach with varying levels of population means of traits. This comparison is based on a population of Charolais bulls evaluated for growth, feed intake, scrotal circumference, backfat, longissimus muscle area and marbling in central evaluation centers as the population of sires to be ranked." @default.
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- W314762263 date "2002-01-01" @default.
- W314762263 modified "2023-09-22" @default.
- W314762263 title "SENSITIVITY OF RANKINGS OF BEEF SIRES FOR NON-LINEAR MULTIPLE TRAIT BREEDING OBJECTIVES" @default.
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