Short Unsupervised

ASRtriala Prologue


Description

(Course expiry: 90 days after purchase.)

ASRtriala is a companion package for ASReml-R to help audit and prepare data and then select the 'best' model for the analysis of field trials. A set of spatial and non-spatial models can be pre-defined to be fitted, and then the 'best' single-trial model selected can be used as final analysis, or as the first part of a two-stage multi-environment trial (MET) analysis. ASRtriala has functions available to fit a range of MET model with complex variance-covariance structures (including factor analytic) to model GxE as nested effects.


This course will walk you through its main tasks including:


- Auditing and preparing single-trial data and MET data.

- Fitting and selecting a single-trial model (including spatial models).

- Fitting and selecting an MET model.

- Enhancing output from MET models (particularly for factor analytic models).


This 3-session course is designed and taught by Dr. Salvador Gezan, who is a statistician/quantitative geneticist with more than 20 years’ experience in breeding, statistical analysis and genetic improvement consulting.


ASRtriala is a companion package to ASReml-R, so it requires an ASReml-R license to run. If you do not currently use ASReml-R you can request a free 7-day ASReml-R license. Please email support@vsni.co.uk after registering for this course.

Content
  • Welcome to ASRtriala Prologue
  • Getting Ready
  • Analytical Workflow with ASRtriala (Step 1)
  • Analytical Workflow with ASRtriala (Step 2)
  • Session 1 - Single-Site Analyses with ASRtriala
  • Session 2 - Multi-Environmental Trial Analyses with ASRtriala
  • Session 3 - Enhancing output from MET models with ASRtriala
  • Relevant Literature
  • ASRtriala transcript - Session 1
  • ASRtriala transcript - Session 2
  • ASRtriala transcript - Session 3
Completion rules
  • All units must be completed