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Title: Model predictive control with active learning for stochastic systems with structural model uncertainty: Online model discrimination
Award ID(s):
1705706
NSF-PAR ID:
10180013
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
Computers & Chemical Engineering
Volume:
128
Issue:
C
ISSN:
0098-1354
Page Range / eLocation ID:
128 to 140
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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  1. Abstract

    Model species continue to underpin groundbreaking plant science research. At the same time, the phylogenetic resolution of the land plant Tree of Life continues to improve. The intersection of these two research paths creates a unique opportunity to further extend the usefulness of model species across larger taxonomic groups. Here we promote the utility of the Arabidopsis thaliana model species, especially the ability to connect its genetic and functional resources, to species across the entire Brassicales order. We focus on the utility of using genomics and phylogenomics to bridge the evolution and diversification of several traits across the Brassicales to the resources in Arabidopsis, thereby extending scope from a model species by establishing a “model clade”. These Brassicales-wide traits are discussed in the context of both the model species Arabidopsis thaliana and the family Brassicaceae. We promote the utility of such a “model clade” and make suggestions for building global networks to support future studies in the model order Brassicales.

     
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