Literature DB >> 24213177

Prediction of response with overlapping generations accounting for multistage selection.

B L Harris1, A E Freeman.   

Abstract

A generalization of Hill's equations predicting response to selection is developed that accounts for multiple stage selection in either or both sexes. The method accounts for the flow of genes for animals selected at later stages. This allows for the use of genetic gains from later stages, which explains the reduction in variance due to previous selection. Genetic gains from different selection differentials in each reproductive pathway are incorporated into the equations. The asymptotic response to a single cycle of selection is shown to agree with classical selection theory.The method is applied to a dairy progeny testing scheme representative of an artificial insemination organization in the USA. Two models were compared: (1) the first model accounted for two-stage selection of males, the first stage being based on pedigree information and the second stage on both pedigree and progeny test information; and (2) the second model assumed single-stage male selection. Selection was based on milk volume, milk fat, and milk protein yields. The predicted asymptotic rates for a single cycle of selection were overestimated by 6% and the cumulative response to continuous selection over 20 years was overestimated by 8% by assuming singlestage male selection.

Year:  1991        PMID: 24213177     DOI: 10.1007/BF02190619

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


  9 in total

1.  The Genetic Basis for Constructing Selection Indexes.

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

2.  A note on effective population size with overlapping generations.

Authors:  W G Hill
Journal:  Genetics       Date:  1979-05       Impact factor: 4.562

3.  Inbreeding in populations with overlapping generations.

Authors:  D L Johnson
Journal:  Genetics       Date:  1977-11       Impact factor: 4.562

4.  Expected early genetic gain from selection for milk yield in dairy cattle.

Authors:  M R Dentine; B T McDaniel
Journal:  Theor Appl Genet       Date:  1987-10       Impact factor: 5.699

5.  Estimation of genetic gain in milk yield by selection in a closed herd of dairy cattle.

Authors:  J M RENDEL; A ROBERTSON
Journal:  J Genet       Date:  1950-06       Impact factor: 1.166

6.  Multi-stage index selection.

Authors:  E P Cunningham
Journal:  Theor Appl Genet       Date:  1975-01       Impact factor: 5.699

7.  Phenotypic and genetic statistics of components of milk and two measures of somatic cell concentration.

Authors:  E J Manfredi; R W Everett; S R Searle
Journal:  J Dairy Sci       Date:  1984-09       Impact factor: 4.034

8.  Genetic parameters of milk yield and composition and their relationships with alternative breeding goals.

Authors:  D de Jager; B W Kennedy
Journal:  J Dairy Sci       Date:  1987-06       Impact factor: 4.034

9.  Selection in dual-purpose cattle populations: effect of beef crossing and cow replacement rates.

Authors:  E Cunningham; A McClintock
Journal:  Ann Genet Sel Anim       Date:  1974
  9 in total

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