Data and Research Resources

Random regression genomic prediction

The objective of this study was to demonstrate the utility of random regression (RR) models using Legendre polynomials for genomic prediction of shoot growth trajectories in rice (Oryza sativa). This repo contains all the code and data used for the manuscript: “Utilizing random regression models for genomic prediction of a longitudinal trait derived from high-throughput phenotyping”. Check out the preprint here. To run the genetic analyses, users should have ASREML installed. All the code is presented in Rmarkdown, and the ‘.as’ files used for ASREML are included as snippets in the .Rmd files. The contents are layed out according to the order presented in the paper. All input and output is provided in DataandCode.zip. Refer to the README for a brief description of the contents.

More to come