Last updated: 2021-02-03
Checks: 2 0
Knit directory: Interactions_In_Breeding/
This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.
Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.
The results in this page were generated with repository version 5485c9a. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.
Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:
Ignored files:
Ignored: .Rhistory
Ignored: .Rproj.user/
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were made to the R Markdown (analysis/about.Rmd) and HTML (docs/about.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.
| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | 4ca6b14 | powellow | 2021-02-03 | Updated Website description |
| html | 4ca6b14 | powellow | 2021-02-03 | Updated Website description |
| Rmd | f8c9f62 | Owen Powell | 2021-02-02 | Start workflowr project. |
I’m a PostDoc at the Queensland Alliance for Agriculture & Innovation (QAAFI) based at UQ in Brisbane, Australia. I work in the Department for Crop Science, under the supervision of Professor Mark Cooper.
My project involves combining analyses of existing genotypic and phenotypic data sets and advanced genetic and crop simulation methods to investigate the potential to accelerate genetic gain for yield of sorghum in Australian environments through novel genomic selection methods that can account for the effects of genotype by environment interactions. This work is funded by the Grains Research & Development Corporation (GRDC)
I am also involved with a new ARC Centre of Excellence for Plant Success in Nature & Agriculture to deepen and extend knowledge of genetic networks that control key functional processes to understand how they have evolved and are integrated in the context of whole-plant performance and success in agriculture and nature.