RUDN University biologist developed new model for analyzing photosynthesis in vivo
RUDN University biologist developed new model for analyzing photosynthesis in vivo
A RUDN University biologist has developed a model for the analysis of photosynthesis in vivo. This method allows you to calculate the absorption coefficient of light by chlorophyll, based on its reflectivity. Analysis of light absorption is important for assessing ecosystem productivity, which affects the state of the biosphere and the global climate. 

Measurements of the efficiency of photosynthesis in living systems are necessary because they allow us to estimate the carbon cycle, and therefore the impact on the climate. To study photosynthesis in vivo, the vegetation absorption coefficient is used – a value that shows how deep the incident radiation penetrates the canopy. It depends on biochemical, structural and external factors, so its evaluation is very difficult. Alexei Solovchenko, an employee of RUDN University, and his colleagues from the USA and Israel have found a new way to assess this indicator.

First, biologists calculated the ratio of absorption and transmission coefficients for individual leaves and canopy in general. Measuring these coefficients for the canopy “in sum” is difficult, but for a single leaf it is simple, so knowing the ratio between them, you can calculate the absorption and transmission of canopy, knowing the coefficients for a single leaf. Then the researchers of RUDN University obtained an equation that connects the canopy absorption coefficient to the pigments absorption coefficient – primarily chlorophyll – in leaves. It turned out that the canopy, unlike a single leaf, can absorb light in the infrared range, and also, the absorption coefficients of pigments for plants with different densities of canopy, may differ. Therefore, biologists had to make appropriate changes to the final model.

The researchers tested this mathematical model describing the canopy absorption coefficient on crops with different types of photosynthesis – corn (C4 photosynthesis), soybeans and rice (C3 photosynthesis), measuring the spectra of absorbed and reflected solar radiation.

The model showed that in the blue spectral region, the canopy of rice reflects more than the canopy of other crops. Scientists believe it is because rice grows in water. Also, absorption curves for plants with C3 type of photosynthesis (soybeans and rice) obtained with the model differed from those of plants with C4 type of photosynthesis (corn), due to biochemical differences.

Thus, the model created by biologists can "predict" the absorption of light by different types of plants with different types of photosynthesis, different canopy architectures and different pigment content in the leaf. 

The article is published in the journal Remote Sensing of Environment.

All news
20 Oct
RUDN chemist created an efficient catalyst for organic sulfides synthesis

A RUDN chemist has obtained a new compound — a dumbbell-shaped phosphate-bridged molybdenum cluster. The cluster accelerates the reaction of the formation of sulfides from oxides and can be used in pharmaceutical and cosmetic manufacturing.

19 Oct
RUDN University mathematicians created a method for study the properties of porous materials

Mathematicians from RUDN University have studied the properties of compositional operators in spaces with mixed Lebesgue norms. It will help describe the diffusion of liquids in materials with cracks and in porous materials. Such spaces are also useful for obtaining estimates for solutions to the Navier-Stokes equation.

09 Oct
RUDN University biophysicist modelled the behaviour of cell microtubule elements to chemically affect their growth and decay

A biophysicist from RUDN University and his colleagues modelled the molecular dynamics of growth of microtubules, the most important elements of cell activity. The researchers have built a model for the interaction of microtubule subunits, which takes into account their internal and external connections. The results will help form a more complete model of the dynamic instability of microtubules. It will allow choosing chemical agents for the treatment of certain diseases, including neoplasms and neurodegenerative pathologies.