Literature DB >> 24169790

Optimal restricted phenotypic selection.

R P Wei1.   

Abstract

Phenotypic selection is modified by introducing upper limits on the portion (P 1) of individuals selected from a family as well as on the portion (P 2) of family number that are allowed to contribute. At a preset selection proportion, P and P 1, the maximum genetic gain is obtained by finding an optimum restriction on family number (P 2 (*) ). A numerical procedure for solving the problem of optimization is developed for infinite populations. In small populations, maximum gain and P 2 (*) can be found by simply comparing all possible P2. Numerical examples are demonstrated for infinite breeding populations, assuming a normally-distributed family mean and within-family deviation. Selection and its simulation were applied to the fieldtest results of two tree species. Optimum restriction on family number is very close to P/P 1, especially when heritability is low. In the real world of tree breeding, P 2 (*) is given, or approximated, by P/P 1+1/ tm where m is the initial family number. The improvement of gain and the conservation of inbreeding effective population size are easy with high heritability and could be simultaneously obtained by using intense selection with a relatively low P 1.

Entities:  

Year:  1995        PMID: 24169790     DOI: 10.1007/BF00220904

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  6 in total

1.  Comparison of selection methods at the same level of inbreeding.

Authors:  M Quinton; C Smith; M E Goddard
Journal:  J Anim Sci       Date:  1992-04       Impact factor: 3.159

2.  The Genetic Basis for Constructing Selection Indexes.

Authors:  L N Hazel
Journal:  Genetics       Date:  1943-11       Impact factor: 4.562

3.  Optimising two-stage independent culling selection in tree and animal breeding.

Authors:  P P Cotterill; J W James
Journal:  Theor Appl Genet       Date:  1981-03       Impact factor: 5.699

4.  Best linear prediction of breeding values in a forest tree improvement program.

Authors:  T L White; G R Hodge
Journal:  Theor Appl Genet       Date:  1988-11       Impact factor: 5.699

5.  Selection on individual phenotype and best linear unbiased predictor of breeding value in a closed swine herd.

Authors:  G M Belonsky; B W Kennedy
Journal:  J Anim Sci       Date:  1988-05       Impact factor: 3.159

Review 6.  Artificial selection in plants and animals.

Authors:  A Robertson
Journal:  Proc R Soc Lond B Biol Sci       Date:  1966-03-22
  6 in total

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