Contrasting phenotypes emerging from stable rules: A model based on self-regulated control loops captures the dynamics of shoot extension in contrasting maize phenotypes.

摘要: BACKGROUND AND AIMS The dynamics of plant architecture is a central aspect and crop models. Most models assume that whole shoot development orchestrated by the leaf appearance rate, which follows thermal time schedule. However, actually results from extension taking it as an input hampers our ability to understand construction. objective present study was assess modelling framework for grasses, in emergence leaves other organs explicitly calculated result their extension. METHODS approach builds on previous model, uses set rules co-ordinating timing within between phytomers. We first assessed rule validity four experimental datasets, including different cultivars, planting densities environments, accordingly revised equations driving upper internodes. then fitted model parameters each dataset evaluated simulate measured phenotypes across time. Finally, we carried out sensitivity analysis identify had greatest impact investigate behaviour. KEY RESULTS modified version simulated correctly contrasting maize phenotypes. Co-ordination accounted observations all studied cultivars. Factors with major output included rates, tassel initiation initial conditions. A large diversity could be simulated. CONCLUSIONS This work provides direct evidence co-ordination illustrates capacity represent These play important role patterning some them need further, considering growth To make more predictive, several considered future internal variables driven status.