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Conifer Translational Genomics Network Online Modules

Last Updated: May 15, 2012

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A series of 16 forest tree breeding online learning modules

Authors:

Heather L. Merk, The Ohio State University; John McQueen, Oregon State University; Nicholas Wheeler, Oregon State University

The Conifer Translational Genomics Network (CTGN) developed a series of 16 forest tree breeding online learning modules, which are divided into foundation, dissection of complex genetic traits, and marker informed breeding and other marker applications categories. This page includes links to all modules.

Introduction

All modules are available as voiceover powerpoint videos produced using Camtasia software. This video format allows users to pause the video, turn closed captions on and off, and toggle through slides as desired. Slides for all modules are also available as downloadable pdfs.

Foundation Modules

Genetic Dissection of Complex Traits Modules

Marker Informed Breeding and Other Marker Applications

Module 12: Marker Informed Breeding (MIB): Program Management
Module 13: MIB: Association Discovery and Evaluation
Module 14: Using Markers to Predict Breeding Values
Module 15: Genomic Selection
Module 16: Landscape Genomics

Additional Resource

The Conifer Translation Genomics Network [Online]. Dendrome: A forest tree genome database. Available at: http://dendrome.ucdavis.edu/ctgn/ (verified 12 May 2012).

Funding Statement

Support for the Conifer Translational Genomics Network project and the development of the teaching modules hosted here was provided by the USDA/NRI CSREES Plant Genomics Coordinated Agricultural Project (CAP) Award # 2007-55300-18603, the USDA/NIFA AFRI Applied Plant Genomics CAP Award #2009-85606-05680 and the USDA Forest Service. Development of this page was supported in part by the National Institute of Food and Agriculture (NIFA) Solanaceae Coordinated Agricultural Project, agreement 2009-85606-05673, administered by Michigan State University. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the United States Department of Agriculture.

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