Prioritising support for cost effective rare breed conservation using multi-criteria decision analysis

W Wainwright*, B Vosough Ahmadi, A McVittie, G Simm, D Moran

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Citation (Scopus)
38 Downloads (Pure)

Abstract

Farm Animal Genetic Resources (FAnGR) are threatened by breed homogenisation. Rare breeds may carry important genes that allow breeders to respond to global production challenges including climate change and emerging disease risk. Yet, exploration of approaches to improve cost-effectiveness of investments in farm animal genetic diversity has been limited. We employ multi-criteria decision analysis (MCDA) to investigate how rare breed incentive schemes can be rationalised. A performance matrix was used to score assess 19 UK cattle native breeds at risk, in terms of diversity, marketability and endangerment criteria, and an expert workshop was used to assign weights for prioritisation. The workshop participants suggested that criteria pertaining to diversity, marketability and endangerment should be weighted 30%, 20% and 50% respectively. A principal component analysis (PCA) on the criteria suggested that fewer criteria could be used to characterise breed status but that each criteria node contributed effectively in explaining variation in breed scores. Breed scores from the MCDA model were used in a hypothetical exercise to rationalise monetary investments across the case study breeds. TModelling the allocation of thea hypothetical breed improvement fund (BIF) revealed that the greatest variation in the allocation of incentives occurred when marketability was weighted highest, while least variation occurred when endangerment received the highest weight. We suggest MCDA can support more targeted investments in diversity by considering the multiple factors that may be driving extinction risk in addition to the cultural and diversity attributes that compliment conservation.
Original languageEnglish
Article number110
JournalFrontiers in Ecology and Evolution
Volume7
Early online date11 Apr 2019
DOIs
Publication statusPrint publication - 11 Apr 2019

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rare breeds
multi-criteria decision making
breeds
farmed animal species
animal genetic resources
animal genetics
prioritization
emerging diseases
cost effectiveness
homogenization
principal component analysis
exercise
extinction
climate change
case studies
genetic variation
cattle

Keywords

  • Rare breeds
  • Farm Animal Genetic Resources
  • Multi Criteria Decision Analysis
  • Incentive payments
  • Prioritisation

Cite this

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title = "Prioritising support for cost effective rare breed conservation using multi-criteria decision analysis",
abstract = "Farm Animal Genetic Resources (FAnGR) are threatened by breed homogenisation. Rare breeds may carry important genes that allow breeders to respond to global production challenges including climate change and emerging disease risk. Yet, exploration of approaches to improve cost-effectiveness of investments in farm animal genetic diversity has been limited. We employ multi-criteria decision analysis (MCDA) to investigate how rare breed incentive schemes can be rationalised. A performance matrix was used to score assess 19 UK cattle native breeds at risk, in terms of diversity, marketability and endangerment criteria, and an expert workshop was used to assign weights for prioritisation. The workshop participants suggested that criteria pertaining to diversity, marketability and endangerment should be weighted 30{\%}, 20{\%} and 50{\%} respectively. A principal component analysis (PCA) on the criteria suggested that fewer criteria could be used to characterise breed status but that each criteria node contributed effectively in explaining variation in breed scores. Breed scores from the MCDA model were used in a hypothetical exercise to rationalise monetary investments across the case study breeds. TModelling the allocation of thea hypothetical breed improvement fund (BIF) revealed that the greatest variation in the allocation of incentives occurred when marketability was weighted highest, while least variation occurred when endangerment received the highest weight. We suggest MCDA can support more targeted investments in diversity by considering the multiple factors that may be driving extinction risk in addition to the cultural and diversity attributes that compliment conservation.",
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Prioritising support for cost effective rare breed conservation using multi-criteria decision analysis. / Wainwright, W; Vosough Ahmadi, B; McVittie, A; Simm, G; Moran, D.

In: Frontiers in Ecology and Evolution, Vol. 7, 110, 11.04.2019.

Research output: Contribution to journalArticle

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