Literature DB >> 22059580

Maximization of total genetic variance in breed conservation programmes.

I Cervantes1, T H E Meuwissen.   

Abstract

The preservation of the maximum genetic diversity in a population is one of the main objectives within a breed conservation programme. We applied the maximum variance total (MVT) method to a unique population in order to maximize the total genetic variance. The function maximization was performed by the annealing algorithm. We have selected the parents and the mating scheme at the same time simply maximizing the total genetic variance (a mate selection problem). The scenario was compared with a scenario of full-sib lines, a MVT scenario with a rate of inbreeding restriction, and with a minimum coancestry selection scenario. The MVT method produces sublines in a population attaining a similar scheme as the full-sib sublining that agrees with other authors that the maximum genetic diversity in a population (the lowest overall coancestry) is attained in the long term by subdividing it in as many isolated groups as possible. The application of a restriction on the rate of inbreeding jointly with the MVT method avoids the consequences of inbreeding depression and maintains the effective size at an acceptable minimum. The scenario of minimum coancestry selection gave higher effective size values, but a lower total genetic variance. A maximization of the total genetic variance ensures more genetic variation for extreme traits, which could be useful in case the population needs to adapt to a new environment/production system.
© 2011 Blackwell Verlag GmbH.

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Year:  2011        PMID: 22059580     DOI: 10.1111/j.1439-0388.2011.00923.x

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  3 in total

1.  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

2.  A Genetic Evaluation System for New Zealand White Rabbit Germplasm Resources Based on SSR Markers.

Authors:  Jiali Li; Bin Zhao; Yang Chen; Bohao Zhao; Naisu Yang; Shuaishuai Hu; Jinyu Shen; Xinsheng Wu
Journal:  Animals (Basel)       Date:  2020-07-24       Impact factor: 2.752

3.  Preservation of Genetic Variation in a Breeding Population for Long-Term Genetic Gain.

Authors:  David Vanavermaete; Jan Fostier; Steven Maenhout; Bernard De Baets
Journal:  G3 (Bethesda)       Date:  2020-08-05       Impact factor: 3.154

  3 in total

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