Literature DB >> 24178119

Effective sizes of livestock populations to prevent a decline in fitness.

T H Meuwissen1, J A Woolliams.   

Abstract

In livestock populations, fitness may decrease due to inbreeding depression or as a negatively correlated response to artificial selection. On the other hand, fitness may increase due to natural selection. In the absence of a correlated response due to artificial selection, the critical population size at which the increase due to natural selection and the decrease due to inbreeding depression balance each other is approximately D/2σwa (2), where D=the inbreeding depression of fitness with complete inbreeding, and σwa (2)=the additive genetic variance of fitness. This simple expression agrees well with results from transmission probability matrix methods. If fitness declines as a correlated negative response to artificial selection, then a large increase in the critical effective population size is needed. However, if the negative response is larger than the response to natural selection, a reduction in fitness cannot be prevented. From these results it is concluded that a negative correlation between artificial and natural selection should be avoided. Effective sizes to prevent a decline in fitness are usually larger than those which maximize genetic gain of overall efficiency, i.e., the former is a more stringent restriction on effective size. In the examples presented, effective sizes ranged from 31 to 250 animals per generation.

Entities:  

Year:  1994        PMID: 24178119     DOI: 10.1007/BF00224533

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


  13 in total

Review 1.  Optimal effective population size for the global population of black and white dairy cattle.

Authors:  M E Goddard
Journal:  J Dairy Sci       Date:  1992-10       Impact factor: 4.034

2.  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

3.  Selection indices for non-linear profit functions.

Authors:  M E Goddard
Journal:  Theor Appl Genet       Date:  1983-03       Impact factor: 5.699

4.  Reproductive fitness and artificial selection in animal breeding: culling on fitness prevents a decline in reproductive fitness in lines of Drosophila melanogaster selected for increased inebriation time.

Authors:  R Frankham; B H Yoo; B L Sheldon
Journal:  Theor Appl Genet       Date:  1988-12       Impact factor: 5.699

5.  The use of constrained selection indexes in breeding for economic merit.

Authors:  J P Gibson; B W Kennedy
Journal:  Theor Appl Genet       Date:  1990-12       Impact factor: 5.699

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.  Effects of inbreeding and heterosis in Hereford females on fertility, calf survival and preweaning growth.

Authors:  M D MacNeil; D D Dearborn; L V Cundiff; C A Dinkel; K E Gregory
Journal:  J Anim Sci       Date:  1989-04       Impact factor: 3.159

8.  Behavior of pairs of loci in finite monoecious populations.

Authors:  B S Weir; C C Cockerham
Journal:  Theor Popul Biol       Date:  1974-12       Impact factor: 1.570

9.  Restriction of selection indexes.

Authors:  E P Cunningham; R A Moen; T Gjedrem
Journal:  Biometrics       Date:  1970-03       Impact factor: 2.571

10.  Rates of change in quantitative traits from fixation of new mutations.

Authors:  W G Hill
Journal:  Proc Natl Acad Sci U S A       Date:  1982-01       Impact factor: 11.205

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  22 in total

1.  Positive assortative mating with selection restrictions on group coancestry enhances gain while conserving genetic diversity in long-term forest tree breeding.

Authors:  O Rosvall; T J Mullin
Journal:  Theor Appl Genet       Date:  2003-07-08       Impact factor: 5.699

2.  Population genetic structure in the Holstein breed in Brazil.

Authors:  Mário Henrique Magalhães Araújo da Silva; Carlos Henrique Mendes Malhado; José Lauro Costa; Jaime Araujo Cobuci; Claudio Napolis Costa; Paulo Luiz Souza Carneiro
Journal:  Trop Anim Health Prod       Date:  2015-11-19       Impact factor: 1.559

3.  Genetic improvement of production while maintaining fitness.

Authors:  T H Meuwissen; J P Gibson; M Quinton
Journal:  Theor Appl Genet       Date:  1995-04       Impact factor: 5.699

4.  Potential bias in inbreeding depression estimates when using pedigree relationships to assess the degree of homozygosity for loci under selection.

Authors:  A F Groen; B W Kennedy; J J Eissen
Journal:  Theor Appl Genet       Date:  1995-09       Impact factor: 5.699

5.  Population structure of Mazandaran native fowls using pedigree analysis.

Authors:  Mohsen Gholizadeh
Journal:  Trop Anim Health Prod       Date:  2017-02-01       Impact factor: 1.559

6.  Mitigation of inbreeding while preserving genetic gain in genomic breeding programs for outbred plants.

Authors:  Zibei Lin; Fan Shi; Ben J Hayes; Hans D Daetwyler
Journal:  Theor Appl Genet       Date:  2017-03-31       Impact factor: 5.699

7.  Genetic diversity and the application of runs of homozygosity-based methods for inbreeding estimation in German White-headed Mutton sheep.

Authors:  Sowah Addo; Stefanie Klingel; Georg Thaller; Dirk Hinrichs
Journal:  PLoS One       Date:  2021-05-06       Impact factor: 3.240

Review 8.  What can livestock breeders learn from conservation genetics and vice versa?

Authors:  Torsten N Kristensen; Ary A Hoffmann; Cino Pertoldi; Astrid V Stronen
Journal:  Front Genet       Date:  2015-02-10       Impact factor: 4.599

9.  Evaluation of inbreeding and genetic variability of five pig breeds in czech republic.

Authors:  E Krupa; E Žáková; Z Krupová
Journal:  Asian-Australas J Anim Sci       Date:  2015-01       Impact factor: 2.509

10.  Challenges and opportunities in genetic improvement of local livestock breeds.

Authors:  Filippo Biscarini; Ezequiel L Nicolazzi; Alessandra Stella; Paul J Boettcher; Gustavo Gandini
Journal:  Front Genet       Date:  2015-02-25       Impact factor: 4.599

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