International Scientific Workshop

The Tria Project – 2nd  International Scientific Workshop
In November 2009, The Tria Project held its second annual International Scientific Workshop at the Canadian Forest Service – Northern Forestry Centre in Edmonton, Alberta (Canada). The purpose of the Workshop was to present and discuss research on the mountain pine beetle system as it is ongoing in the Tria Project and in related work by the research community, and provide an opportunity for establishing important scientific collaborations.The Tria Project is using the genomics of the mountain pine beetle epidemic’s interacting biological components (bark beetles, fungal pathogens and host pine trees) to improve forest ecological risk models. A recent Genome Canada funding award for three years of continued research into genomics and environmental modeling will extend the output of Tria research to inform economic models aimed at assessing the use of pine as bioenergy feedstock in areas at risk for mountain pine beetle outbreak. A representative group of more than 70 provincial scientists, policy-makers, and stakeholders attended from Alberta, British Columbia and the U.S. to hear the latest Tria Project developments.The majority of the day was devoted to project presentations with a genomics focus, updating Tria’s Scientific Advisory Board in advance of their one-day meeting the following day.

The program for the Workshop and a selection of project presentations is available below. Please contact us if you would like additional information or to be added to our notification list for future Workshops.

Workshop Program

Welcome and Introduction

PART I: Structural and Functional Genomics

o Genomic resource development

o Mountain pine beetle (MPB):

PART II: Structural and Functional Genomics continued

Open Discussion

Keynote Presentation – Dr. James Powell (Utah State University)

PART III: Population Genomics

o Overview of Sampling

o Organism-level:


PART IV: Modeling

o Environmental risk modeling:
o Economic risk modeling

Final Discussion


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