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Assessing a Bayesian approach for detecting exotic hybrids between plantation and native eucalypts
Citation
Larcombe, MJ and Vaillancourt, RE and Jones, RC and Potts, BM, Assessing a Bayesian approach for detecting exotic hybrids between plantation and native eucalypts, International Journal of Forestry Research Article 650202. ISSN 1687-9368 (2014) [Refereed Article]
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Copyright Statement
Copyright 2014 Matthew J. Larcombe et al. Licenced under Creative Commons Attribution 3.0 Unported (CC BY 3.0) http://creativecommons.org/licenses/by/3.0/
Abstract
Eucalyptus globulus is grown extensively in plantations outside its native range in Australia. Concerns have been raised that the
species may pose a genetic risk to native eucalypt species through hybridisation and introgression. Methods for identifying hybrids
are needed to enable assessment and management of this genetic risk. This paper assesses the efficiency of a Bayesian approach
for identifying hybrids between the plantation species E. globulus and E. nitens and four at-risk native eucalypts. Range-wide
DNA samples of E. camaldulensis, E. cypellocarpa, E. globulus, E. nitens, E. ovata and E. viminalis, and pedigreed and putative
hybrids (n = 606), were genotyped with 10 microsatellite loci. Using a two-way simulation analysis (two species in the model at a
time), the accuracy of identification was 98% for first and 93% for second generation hybrids. However, the accuracy of identifying
simulated backcross hybrids was lower (74%). A six-way analysis (all species in the model together) showed that as the number
of species increases the accuracy of hybrid identification decreases. Despite some difficulties identifying backcrosses, the two-way
Bayesian modelling approach was highly effective at identifying F1s, which, in the context of E. globulus plantations, are the primary
management concern.
Item Details
Item Type: | Refereed Article |
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Keywords: | clines, eucalypts, selection, hybridisation, plasticity, altitude, gene flow, forest trees |
Research Division: | Biological Sciences |
Research Group: | Genetics |
Research Field: | Genetics not elsewhere classified |
Objective Division: | Plant Production and Plant Primary Products |
Objective Group: | Forestry |
Objective Field: | Hardwood plantations |
UTAS Author: | Larcombe, MJ (Mr Matthew Larcombe) |
UTAS Author: | Vaillancourt, RE (Professor Rene Vaillancourt) |
UTAS Author: | Jones, RC (Dr Rebecca Jones) |
UTAS Author: | Potts, BM (Professor Brad Potts) |
ID Code: | 98306 |
Year Published: | 2014 |
Deposited By: | Plant Science |
Deposited On: | 2015-02-11 |
Last Modified: | 2015-04-16 |
Downloads: | 252 View Download Statistics |
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