Utilizarea tehnologiilor avansate în fenotiparea plantelor și studiul unor procese metabolice la soiurile autohtone de soia (Glycine max (L.) Merrill.)

Abstract

Modern agriculture calls for the identification of efficient tools in plant phenotyping and the study of metabolic processes. CO2 sensors have been shown to be effective in the study of the gaseous metabolism of plants, subjected to abiotic stress, at various stages of growth and development, being easier to use compared to classical chemical methods and providing more accurate data. The use of CO2 sensors allowed the establishment of differences in the respiratory activity of rhizobacteria from the nodules of soybean varieties with different resistance to abiotic stress. Multispectral sensors provide data of real help in the phenotyping of agricultural crops, in establishing the physiological state of plants at different stages of development, but also in identifying field problems, demonstrating opportunities for their use in monitoring agricultural fields and improving the quality of agro-ecosystem services. Phenotyping with the help of hyper/multispectral imaging allows obtaining valuable, high precision scientific results with reference to plant health.