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.

News
All news
Science
25 Nov
RUDN chemists have found an effective catalyst for the synthesis of raw materials of the chemical industry

RUDN chemists have proven the effectiveness of metal complexes for catalysis of cyanhydrin production — substances important for the chemical industry. Chemists managed to achieve 96.3% of the reaction efficiency.

Science
17 Nov
RUDN University Chemists Obtained an Unusual Planar Nickel complex exhibiting Magnetic Properties

RUDN University chemists obtained a metal-containing complex with an unusual planar architecture. The unexpected structure was formed due to the spontaneous fixation of carbon dioxide from the air during the reaction. This compound exhibits unusual magnetic properties (spin glass behaviour). This can be useful for creating memory storage devices.

Science
14 Nov
RUDN chemists have shown how a new antitumor drug interacts with blood proteins

RUDN chemists investigated in detail the molecular mechanism of interaction of the newly created antitumor drug with blood proteins. The results will not only allow us to judge the effectiveness of the drug, but also are of interest from the point of view of understanding the mechanisms of action of such drugs.