Literature DB >> 10747075

A general procedure for predicting rates of inbreeding in populations undergoing mass selection.

P Bijma1, J A Van Arendonk, J A Woolliams.   

Abstract

Predictions of rates of inbreeding (DeltaF), based on the concept of long-term genetic contributions assuming the infinitesimal model, are developed for populations with discrete or overlapping generations undergoing mass selection. Phenotypes of individuals are assumed to be recorded prior to reproductive age and to remain constant over time. The prediction method accounts for inheritance of selective advantage both within and between age classes and for changing selection intensities with age. Terms corresponding to previous methods that assume constant selection intensity with age are identified. Predictions are accurate (relative errors < or =8%), except for cases with extreme selection intensities in females in combination with high heritability. With overlapping generations DeltaF reaches a maximum when parents are equally distributed over age classes, which is mainly due to selection of the same individuals in consecutive years. DeltaF/year decreases much more slowly compared to DeltaF/generation as the number of younger individuals increases, whereas the decrease is more similar as the number of older individuals increases. The minimum DeltaF (per year or per generation) is obtained when most parents were in the later age classes, which is mainly due to an increased number of parents per generation. With overlapping generations, the relationship between heritability and DeltaF is dependent on the age structure of the population.

Mesh:

Year:  2000        PMID: 10747075      PMCID: PMC1461016     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  8 in total

1.  Expected genetic contributions and their impact on gene flow and genetic gain.

Authors:  J A Woolliams; P Bijma; B Villanueva
Journal:  Genetics       Date:  1999-10       Impact factor: 4.562

2.  Predicting rates of inbreeding in populations undergoing selection.

Authors:  J A Woolliams; P Bijma
Journal:  Genetics       Date:  2000-04       Impact factor: 4.562

3.  Prediction of genetic contributions and generation intervals in populations with overlapping generations under selection.

Authors:  P Bijma; J A Woolliams
Journal:  Genetics       Date:  1999-03       Impact factor: 4.562

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

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

5.  Vascular complications associated with use of HIV protease inhibitors.

Authors:  B Gallet; M Pulik; P Genet; P Chedin; M Hiltgen
Journal:  Lancet       Date:  1998-06-27       Impact factor: 79.321

6.  Prediction of rates of inbreeding in selected populations.

Authors:  N R Wray; R Thompson
Journal:  Genet Res       Date:  1990-02       Impact factor: 1.588

7.  Effective size of populations under selection.

Authors:  E Santiago; A Caballero
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

Review 8.  Developments in the prediction of effective population size.

Authors:  A Caballero
Journal:  Heredity (Edinb)       Date:  1994-12       Impact factor: 3.821

  8 in total
  3 in total

1.  Predicting rates of inbreeding in populations undergoing selection.

Authors:  J A Woolliams; P Bijma
Journal:  Genetics       Date:  2000-04       Impact factor: 4.562

Review 2.  Prediction and estimation of effective population size.

Authors:  J Wang; E Santiago; A Caballero
Journal:  Heredity (Edinb)       Date:  2016-06-29       Impact factor: 3.821

3.  Genomic prediction of survival time in a population of brown laying hens showing cannibalistic behavior.

Authors:  Setegn W Alemu; Mario P L Calus; William M Muir; Katrijn Peeters; Addie Vereijken; Piter Bijma
Journal:  Genet Sel Evol       Date:  2016-09-13       Impact factor: 4.297

  3 in total

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