The shade avoidance syndrome: a non-markovian stochastic growth model

Details The shade avoidance syndrome: a non-markovian stochastic growth model The shade avoidance syndrome: a non-markovian stochastic growth model

2010-02-08

arxiv.org/abs/1002.1569v1

Biology

Quantitative Biology

Other Quantitative Biology

9 pages, 5 figures, submitted to Journal of Theoretical Biology

Scientific paper

Plants at high population density compete for light, showing a series of physiological responses known as the shade avoidance syndrome. These responses are controlled by the synthesis of the hormone auxin, which is regulated by two signals, an environmental one and an internal one. Considering that the auxin signal induces plant growth after a time lag, this work shows that plant growth can be modelled in terms of an energy-like function extremization, provided that the Markov property is not applied. The simulated height distributions are bimodal and right skewed, as in real community of plants. In the case of isolated plants, the theoretical expressions for the growth dynamics and the growth speed excellently fit experimental data for Arabidopsis thaliana. Moreover, the growth dynamics of this model is shown to be consistent with the biomass production function of an independent model. These results suggest that memory effects play a non-negligible role in plant growth processes.

Affiliated with

Also associated with

No associations

Rating

The shade avoidance syndrome: a non-markovian stochastic growth model does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The shade avoidance syndrome: a non-markovian stochastic growth model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The shade avoidance syndrome: a non-markovian stochastic growth model will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-308022