Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping

Published in PLOS ONE , 2020

Recommended citation: Momen M., Campbell T.M., Walia H., Morota G. (2019) Predicting longitudinal traits derived from high-throughput phenomics in contrasting environments using genomic Legendre polynomials and B-splines https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0228118&type=printable

Full text is here: **Abstract** We confirmed that MT-RRM frameworks provide an effective approach to predict temporal physiological traits that are difficult or expensive to quantify in large populations.