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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/

DOI: doi:10.1155/2014/650202

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
Keywords:clines, eucalypts, selection, hybridisation, plasticity, altitude, gene flow, forest trees
Research Division:Biological Sciences
Research Group:Genetics
Research Field:Population, Ecological and Evolutionary Genetics
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Hardwood Plantations
Author:Larcombe, MJ (Mr Matthew Larcombe)
Author:Vaillancourt, RE (Professor Rene Vaillancourt)
Author:Jones, RC (Dr Rebecca Jones)
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:142 View Download Statistics

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