Experimental Designs in Agronomic Research

*Sample Lesson – (flash) (mp4)*

Teaches fundamental principles and procedures of experimental designs in agricultural sciences.  Emphasis includes factorial designs, predicting outputs, use of covariance, and balanced and unbalanced experimental designs as related to common agricultural research projects under field, greenhouse or growth chamber culture.  Students will become familiarized with computer programming of common statistical software.

Experimental Designs in Agronomic Research can by taken as an entire course (all three units) or each unit can be taken individually.  For participants in our Professional Certificate in Plant Breeding and Genetics, completion of all three units is required.

Unit 1 – Factorial Experimental Designs in Agronomic Research
Topics covered include:  Fundamentals of agricultural research methodology and methodology, basic statistical concepts for testing of hypothesis, introduction to simple computer statistical software programs and applications, complete randomized design, randomized complete block design, and Latin square design.
Cost – $226.55
Unit 2 – Factorial and Unbalanced Designs in Agronomic Research
Topics covered include:  Split-plot and split-split plot designs, nested designs, variance analyses, interactions with years and locations, comparisions of paired and grouped mean, estimation of missing values, the general linear model, and planned incomplete block design.
Cost – $226.55
Unit 3 – Correlation, Regression, Covariance, and Biplot Analysis in Agronomic Research
Topics covered include:  Correlation, regression, path coefficient analysis, covariance analysis, nearest neighbor analysis, augmented designs and moving means and analysis, database management, biplot analyses.
Cost – $226.55
 Full Course (all 3 Units)
Cost – $679.65
Course Requirements

To fully participate in the class, distance education students should have:

  • High speed internet connection and updated browser
  • Common plug-ins (e.g. Adobe Reader, Flash Player, Virus Protection, etc.)
  • Speakers
  • Access to common statistical software such as SAS

This is a “self-paced” course and is available for viewing for a limited time.  Time commitment is individual student driven.  Students should view each lecture, review all previous lectures and be prepared to discuss any issues that are unclear.  Each unit has a printable note set and voiced over PowerPoint video lectures.

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