Evaluation criterion for response to selection with constraint

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2 Citations (Scopus)

Abstract

The aims of the present study are to represent the concept of restricted breeding values algebraically and to propose a criterion for evaluating the genetic responses achieved by using a restricted selection procedure. An additive genetic mixed model characterized by multiple traits with constraints was assumed. If the random errors approach zero and the fixed effects can be completely estimated correctly in the model, the restricted best linear unbiased predictor of breeding values (u R ) is equal to [I q -G 0 C 0 (C ' 0 G 0 C 0 -1 )C ' 0 I], where G 0 , C 0 , and u are the additive genetic variance-covariance matrix for the q traits, the matrix for restriction, and the vector of breeding values, respectively. Therefore, if we want to evaluate the response to restricted selection, such as by a stochastic computer simulation study with known breeding values, we can use u R as only one criterion.

Original languageEnglish
Pages (from-to)462-466
Number of pages5
JournalAnimal Science Journal
Volume90
Issue number4
DOIs
Publication statusPublished - 2019 Apr

Keywords

  • criterion for response to restricted selection
  • criterion for selecting candidates
  • restricted BLUP procedure
  • restricted breeding value
  • restricted selection index

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)

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