Journal article
Detection and stability of quantative trait loci (QTL) in Eucalyptus globulus
Tree Genetics and Genomes, Vol.4(1), pp.85-95
2008
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Abstract
<p><em>Eucalyptus globulus</em> Labill. ssp. <em>globulus</em> is an important tree species for the pulp and paper industry, and several breeding programmes throughout the world are striving to improve key traits such as growth and wood density. This study aimed to detect quantitative trait loci (QTL) for growth, wood density, relative bark thickness and early flowering in a single full-sib <em>E. globulus</em> family grown across seven sites. Growth was measured a number of times over a 6-year period, enabling temporal stability of growth QTL to be studied. Ten putative QTL (LOD>2.0) were detected in the single family, which was of moderate size. Based on permutations of the trait data, six of these QTL were significant at the experimentwise significance level of 0.1 for at least one of the four models implemented in analysis to remove site effects. For wood density, two putative QTL explained 20% of the variance for the trait, indicating that a small number of QTL might explain a reasonable proportion of the trait variance. One of these QTL was found to be independent of QTL for growth whereas the second QTL co-segregated with a QTL for relative incremental growth. The marker nearest to this QTL was associated with fast growth but low wood density. A putative growth QTL at year 6 was found to be relatively stable across ages. In addition, it was found that residuals from models based on measurements from across all families across all sites in the trial detected QTL with greater experimentwise significance.</p>
Details
- Title
- Detection and stability of quantative trait loci (QTL) in Eucalyptus globulus
- Creators
- Peter C Bundock - Southern Cross UniversityBrad M Potts - University of TasmaniaRene E Vaillancourt - University of Tasmania
- Publication Details
- Tree Genetics and Genomes, Vol.4(1), pp.85-95
- Identifiers
- 1045; 991012821909002368
- Academic Unit
- Science; Southern Cross Plant Science; Faculty of Science and Engineering
- Resource Type
- Journal article