Simulating red:far red ratio in your model
The best method depends on your goal, need for accuracy, and computing allowance
The best method depends on your goal, need for accuracy, and computing allowance
A new computational tool couples a root architecture model with fast and accurate algorithms of water flow through hydraulic architectures and plant-scale parameter calculations.
Parsimony and biological reality are often seen as antagonistic goals in plant modelling. Hammer and colleagues argue that isn't always the case, and combining the two approaches could bring benefits to scientists as well as plants.
It is now possible to simulate molecular and higher-level spatially explicit stochastic processes and study their behavior in the presence of stochastic perturbations
We asked the members of the in silico Plants editorial board about the experience that has had the biggest impact on their career. This is what they said: In 1977, while doing my undergraduate study at Stellenbosch University, the crop physiology lecturer, Dr George Craven, asked his students to write a computer program to […]
We asked the members of the in silico Plants editorial board about which conferences they had found useful, or were looking forward to. This is what they said: Further ahead I’m looking forward to the second international Plant Systems Biology (iPSB) meeting in the centre of Venice, Sept 2020. This follows from the first […]
Scientists combine models to create a powerful multiscale model that can identify key transcription factors regulating leaf photosynthesis.
We asked the members of the in silico Plants editorial board about the experience that has had the biggest impact on their career. This is what they said: A key moment was attending the ‘Mathematical modelling of plant development and gene networks’ meeting in Warwick in 2004, in the final few months of my […]
A new model is able to predict the effect of training systems on grapevine gas-exchange dynamics under drought.
Scientists unravel the mysteries of the iron deficiency-induced transcriptional response in plants using a dynamic model.
Reproductive failure in maize has long been studied in plant science. Now, for the first time, it has been quantitatively synthesized.
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