An alternative to restricted BLUP based on mate selection
A new application of mate selection is presented in this study that maximizes the expected genetic progress of a selected trait while holding a correlated trait unchanged. The proposed method combines the use of BLUP evaluation and linear programming techniques and its properties have been analyzed by Monte Carlo simulation on a numerical example from beef cattle with selection for weaning weight and restriction on birth weight. With respect to restricted index or BLUP selection, this alternative method allows (a) a similar response for both the selected and restricted traits, (b) lower variances of the responses and (c) greater robustness against errors in the genetic correlation estimate. © 1992, Elsevier Science Publishers B.V.. All rights reserved.
| Main Authors: | , |
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| Format: | journal article biblioteca |
| Language: | English |
| Published: |
Elsevier
1992
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| Subjects: | Mate selection, Linear programming, Restricted BLUP, |
| Online Access: | http://hdl.handle.net/20.500.12792/5525 http://hdl.handle.net/10261/293745 |
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| Summary: | A new application of mate selection is presented in this study that maximizes the expected genetic progress of a selected trait while holding a correlated trait unchanged. The proposed method combines the use of BLUP evaluation and linear programming techniques and its properties have been analyzed by Monte Carlo simulation on a numerical example from beef cattle with selection for weaning weight and restriction on birth weight. With respect to restricted index or BLUP selection, this alternative method allows (a) a similar response for both the selected and restricted traits, (b) lower variances of the responses and (c) greater robustness against errors in the genetic correlation estimate. © 1992, Elsevier Science Publishers B.V.. All rights reserved. |
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