Therefore, we will include plant growth and plant production as a next integration level in the models. at the moment of flowering the maximum biomass of the vegetative part is reached and resources are allocated for the reproductive part of the plant. Flowering time has a substantial effect on the growth of the vegetative phase, i.e. We will obtain models for these different networks, connect them with each other, and apply the models to study the dynamics of the network. The basis will be a network of transcription factors integrating flowering time related signals. Besides the ambient temperature signalling pathway we will include the photoperiod pathway in our modelling, because this pathway has extensive cross-talk with temperature. Here we propose to apply a systems biology approach to flowering time control by external signals in Arabidopsis thaliana. However, such understanding is essential to understand plant adaptation to changes in temperature, which is relevant in the context of e.g., climate change, but also for the prediction of flowering time for plant breeding and crop production. Knowledge about the molecular components and networks involved in ambient temperature control of flowering time is accumulating, but quantitative understanding of this process is missing. A key environmental signal that influences flowering time is the variation in ambient temperature. Proper regulation of flowering time is essential for plant adaptation to the environment and to ensure optimal yield.
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