TY - JOUR
T1 - Objectives, criteria and methods for using molecular genetic data in priority setting for conservation of animal genetic resources
AU - Colli, Licia
AU - Ajmone Marsan, Paolo
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - animal genetic resources
KW - animal genetic resources
UR - http://hdl.handle.net/10807/2993
U2 - 10.1111/j.1365-2052.2010.02050.x
DO - 10.1111/j.1365-2052.2010.02050.x
M3 - Article
SN - 0268-9146
VL - 41
SP - 64
EP - 77
JO - Animal Genetics
JF - Animal Genetics
ER -