Predicting longitudinal traits derived from high-throughput phenomics in contrasting environments using genomic Legendre polynomials and B-splines
Published in bioXriv, 2019
Recommended citation: Momen M., Campbell M.T., Walia H., Morota G. (2019) Predicting longitudinal traits derived from high-throughput phenomics in contrasting environments using genomic Legendre polynomials and B-splines. bioXriv. http://malachycampbell.github.io/files/Momen_2019b.pdf
We sought to apply random regression models to forecast shoot growth trajectories using B-splines and Legendre polynomials in well-watered and water-limited conditions under various longitudinal cross-validation scenarios. We showed that the frequency of phenotypic evaluation can be reduced without impacting prediction accuracy.