Literature DB >> 22440408

Management of genetic diversity in small farm animal populations.

J Fernández1, T H E Meuwissen, M A Toro, A Mäki-Tanila.   

Abstract

Many local breeds of farm animals have small populations and, consequently, are highly endangered. The correct genetic management of such populations is crucial for their survival. Managing an animal population involves two steps: first, the individuals who will be permitted to leave descendants are to be chosen and the number offspring they will be permitted to produce has to be determined; second, the mating scheme has to be identified. Strategies dealing with the first step are directed towards the maximisation of effective population size and, therefore, act jointly on the reduction in the loss of genetic variation and in the increase of inbreeding. In this paper, the most relevant methods are summarised, including the so-called 'Optimum Contribution' methodology (contributions are proportional to the coancestry of each individual with the rest), which has been shown to be the best. Typically, this method is applied to pedigree information, but molecular marker data can be used to complete or replace the genealogy. When the population is subjected to explicit selection on any trait, the above methodology can be used by balancing the response to selection and the increase in coancestry/inbreeding. Different mating strategies also exist. Some of the mating schemes try to reduce the level of inbreeding in the short term by preventing mating between relatives. Others involve regular (circular) schemes that imply higher levels of inbreeding within populations in the short term, but demonstrate better performance in the long term. In addition, other tools such as cryopreservation and reproductive techniques aid in the management of small populations. In the future, genomic marker panels may replace the pedigree information in measuring the coancestry. The paper also includes the results of several experiments and field studies on the effectiveness and on the consequences of the use of the different strategies.

Year:  2011        PMID: 22440408     DOI: 10.1017/S1751731111000930

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  10 in total

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Authors:  Sofia Nyman; Anna M Johansson; Valentina Palucci; Anna A Schönherz; Bernt Guldbrandtsen; Dirk Hinrichs; Dirk-Jan de Koning
Journal:  Genet Sel Evol       Date:  2022-10-23       Impact factor: 5.100

2.  Status of the genetic diversity and population structure of the Pêga donkey.

Authors:  Mário Luiz Santana; Annaiza Braga Bignardi
Journal:  Trop Anim Health Prod       Date:  2015-08-09       Impact factor: 1.559

3.  Herd clustering strategies and corresponding genetic evaluations based on social-ecological characteristics for a local endangered cattle breed.

Authors:  Jonas Herold; Kerstin Brügemann; Sven König
Journal:  Arch Anim Breed       Date:  2021-05-26

4.  Response to selection while maximizing genetic variance in small populations.

Authors:  Isabel Cervantes; Juan Pablo Gutiérrez; Theo H E Meuwissen
Journal:  Genet Sel Evol       Date:  2016-09-20       Impact factor: 4.297

5.  Genomic Tools for the Conservation and Genetic Improvement of a Highly Fragmented Breed-The Ramo Grande Cattle from the Azores.

Authors:  Andreia J Amaral; Ana L Pavão; Luis T Gama
Journal:  Animals (Basel)       Date:  2020-06-24       Impact factor: 2.752

6.  White-naped mangabeys' viable insurance population within European Zoo Network.

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Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

7.  Analyses of Genetic Diversity in the Endangered "Berrenda" Spanish Cattle Breeds Using Pedigree Data.

Authors:  Rafael González-Cano; Ana González-Martínez; María Eva Muñoz-Mejías; Pablo Valera; Evangelina Rodero
Journal:  Animals (Basel)       Date:  2022-01-20       Impact factor: 2.752

8.  Genomic analysis of the rare British Lop pig and identification of distinctive genomic markers.

Authors:  Georgios Banos; Andrea Talenti; Dimitrios Chatziplis; Enrique Sánchez-Molano
Journal:  PLoS One       Date:  2022-08-12       Impact factor: 3.752

9.  Genomic-Based Optimum Contribution in Conservation and Genetic Improvement Programs with Antagonistic Fitness and Productivity Traits.

Authors:  Enrique Sánchez-Molano; Ricardo Pong-Wong; Georgios Banos
Journal:  Front Genet       Date:  2016-02-24       Impact factor: 4.599

10.  Quantitative genetic analyses provide parameters for selection and conservation of captive Great-billed Seed-finches (Sporophila maximiliani).

Authors:  Mário L Santana
Journal:  PLoS One       Date:  2020-07-30       Impact factor: 3.240

  10 in total

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