Objectives, criteria and methods for using molecular genetic data in priority setting for conservation of animal genetic resources
Open Access
- 16 April 2010
- journal article
- review article
- Published by Wiley in Animal Genetics
- Vol. 41 (s1), 64-77
- https://doi.org/10.1111/j.1365-2052.2010.02050.x
Abstract
The genetic diversity of the world’s livestock populations is decreasing, both within and across breeds. A wide variety of factors has contributed to the loss, replacement or genetic dilution of many local breeds. Genetic variability within the more common commercial breeds has been greatly decreased by selectively intense breeding programmes. Conservation of livestock genetic variability is thus important, especially when considering possible future changes in production environments. The world has more than 7500 livestock breeds and conservation of all of them is not feasible. Therefore, prioritization is needed. The objective of this article is to review the state of the art in approaches for prioritization of breeds for conservation, particularly those approaches that consider molecular genetic information, and to identify any shortcomings that may restrict their application. The Weitzman method was among the first and most well‐known approaches for utilization of molecular genetic information in conservation prioritization. This approach balances diversity and extinction probability to yield an objective measure of conservation potential. However, this approach was designed for decision making across species and measures diversity as distinctiveness. For livestock, prioritization will most commonly be performed among breeds within species, so alternatives that measure diversity as co‐ancestry (i.e. also within‐breed variability) have been proposed. Although these methods are technically sound, their application has generally been limited to research studies; most existing conservation programmes have effectively primarily based decisions on extinction risk. The development of user‐friendly software incorporating these approaches may increase their rate of utilization.Keywords
This publication has 64 references indexed in Scilit:
- Breeds at risk: Definition and measurement of the factors which determine endangermentLivestock Science, 2009
- METAPOP—A software for the management and analysis of subdivided populations in conservation programsConservation Genetics, 2008
- Genes mirror geography within EuropeNature, 2008
- Conservation priorities for Ethiopian sheep breeds combining threat status, breed merits and contributions to genetic diversityGenetics Selection Evolution, 2008
- Management of Subdivided Populations in Conservation Programs: Development of a Novel Dynamic SystemGenetics, 2008
- genepop’007: a complete re‐implementation of the genepop software for Windows and LinuxMolecular Ecology Resources, 2008
- PyPedal: A computer program for pedigree analysisComputers and Electronics in Agriculture, 2007
- Accounting for non-independence of extinction probabilities in the derivation of conservation priorities based on Weitzman’s diversity conceptConservation Genetics, 2007
- Optimum allocation of conservation funds and choice of conservation programs for a set of African cattle breedsGenetics Selection Evolution, 2006
- genalex 6: genetic analysis in Excel. Population genetic software for teaching and researchMolecular Ecology Notes, 2005