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      Prediction of response to truncated selection based on BLUP of breeding values and its prediction accuracy

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      Animal Science Journal
      Wiley

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          Abstract

          Three methods of predicting the response to truncated selection based on BLUP of breeding values (BVs) were compared under conditions in which the phenotypic values for the progenies of selected animals were not available. The following methods were used to predict the response to selection: (1) based on the mean of estimated breeding values (EBV) in the candidate population for selection (), (2) based on the variance of EBV in the candidate population for selection (), and (3) based on diagonal elements of the inverse matrix on the left‐hand side of the mixed model equation (). The deviation of the average BV of the selected animals from the average BV of the candidate population for selection was taken as the true response to selection. The pedigree information and phenotypic values used for comparison were generated by Monte Carlo computer simulation. The results showed that had the smallest absolute mean error and had the smallest root‐mean‐square error. We concluded that it is desirable to use or to predict the response to truncated selection based on BLUP of BVs. However, in the population where selection is ongoing, the prediction accuracy of selection response is likely to be affected by the distortion of the distribution and the Bulmer effect for .

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          Best linear unbiased estimation and prediction under a selection model.

          Mixed linear models are assumed in most animal breeding applications. Convenient methods for computing BLUE of the estimable linear functions of the fixed elements of the model and for computing best linear unbiased predictions of the random elements of the model have been available. Most data available to animal breeders, however, do not meet the usual requirements of random sampling, the problem being that the data arise either from selection experiments or from breeders' herds which are undergoing selection. Consequently, the usual methods are likely to yield biased estimates and predictions. Methods for dealing with such data are presented in this paper.
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            The Estimation of Environmental and Genetic Trends from Records Subject to Culling

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              SIRE EVALUATION AND GENETIC TRENDS

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                Contributors
                (View ORCID Profile)
                Journal
                Animal Science Journal
                Animal Science Journal
                Wiley
                1344-3941
                1740-0929
                January 2024
                February 24 2024
                January 2024
                : 95
                : 1
                Affiliations
                [1 ] Graduate School of Agricultural Science Tohoku University Sendai Japan
                Article
                10.1111/asj.13928
                38400774
                39bf024d-2fe6-4db3-979e-e685b1354086
                © 2024

                http://creativecommons.org/licenses/by/4.0/

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