one of the most important factors affecting genomic prediction accuracy appears to be training population (Tp) composition. The objective of this study was to evaluate the effect of genomic relationship on genomic prediction accuracy and determine if adding increasingly unrelated individuals to a Tp can reduce prediction accuracy. To accomplish this, a population of barley (Hordeum vulgare L.) ...

Multifidelity forward uncertainty quantification (UQ) problems often involve multiple quantities of interest and heterogeneous models (e.g., different grids, equations, dimensions, physics, surrogate reduced-order models). While computational efficiency is key in this context, multi-output strategies multilevel/multifidelity methods are either sub-optimal or non-existent. In paper we extend mul...