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Introduction to the Augmented Experimental Design Webinar

Last Updated: February 02, 2012

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imageLearn how to design experiments and analyze data using an augmented design.

Authors:

Jennifer Kling, Oregon State University

Heather L. Merk, The Ohio State University

Learn how to design experiments and analyze data using an augmented design. This introductory webinar was presented by Dr. Jennifer Kling, Oregon State University. Dr. Kling's presentation is available in pdf and video formats. In addition, the data set and SAS code used in this webinar are available.

During this webinar, Dr. Jennifer Kling provides an introduction to the augmented experimental design and analyzes data collected for her meadowfoam breeding program at Oregon State University.

This one hour webinar has been divided into eight videos, which are listed in order on this webpage. The ninth video is the full webinar. The powerpoint slides (in pdf format), sample data files, and SAS code are provided at the bottom of the page.

Learning Objectives

By the end of this webinar you should be able to:

  • List the essential features of an augmented experimental design
  • State when and why a plant breeder may wish to use an augmented experimental design
  • Describe when genotypes should be treated as fixed effects and when they should be treated as random effects
  • Analyze the sample data set when the new entries are treated as fixed effects and random effects

Videos

  • Part 1 - Introduction to augmented designs
  • Part 2 - Background to sample analysis using Dr. Jennifer Kling's meadowfoam breeding program
  • Part 3 - Experiment design and field layout
  • Part 4 - Analysis treating genotypes as fixed
  • Part 5 - Analysis treating genotypes as random
  • Part 6 - Introduction to two way control of heterogeneity and more complex analyses
  • Part 7 - Software and resources for augmented design
  • Part 8 - Question and answer session
  • Full video

Part 1

Introduction to augmented designs.

Part 2

Background to sample analysis using Dr. Jennifer Kling's meadowfoam breeding program.

Part 3

Experiment design and field layout.

Part 4

Analysis treating genotypes as fixed.

Part 5

Analysis treating genotypes as random.

Part 6

Introduction to two way control of heterogeneity and more complex analyses.

Part 7

Software and resources for augmented design.

Part 8

Question and answer session.

Full Video

Full 58 minute webinar.

 

About the Presenter

Jennifer Kling image

Dr. Kling is a plant breeder who teaches experimental design to graduate students in Agriculture at Oregon State University. She has considerable experience in the application of recurrent selection methods to improve yield, stress tolerance, and disease and insect resistance in cross-pollinating crops (maize and meadowfoam). She enjoys analyzing data and was the data curator for the Barley Coordinated Agricultural Project (Barley CAP). Dr. Kling received a Bachelors degree in Crop Science from Oregon State University and a Masters in Agronomy from the University of Nebraska-Lincoln. She obtained a Ph.D. in Genetics with a minor in Statistics from North Carolina State University.

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Funding Statement

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.  

Attachments:

ReferencesAugDes.pdf (255.74 KB)

ExampleData.txt (1.34 KB)

SASprogramAugDes.pdf (173.44 KB)

AugmentedDesignsFINAL.pdf (5.47 MB)

PBGworks 1228

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