Speaker
Dr
Alla Oudalova
(Russian Institute of Agricultural Radiology & Agroecology)
Description
In recent years many efforts have been undertaken to develop a system of radiation protection for non-human biota. One of the key issues is an assessment of critical doses and doses rates for flora and fauna species at different exposure conditions. This work presents a database on radiation-induced effects in plants and an example of critical exposure values assessment on the base of data gathered for cultivated plants.
Data on biological effects in plants (umbrella endpoints of reproductive potential, survival, morbidity, morphological, biochemical, and genetic effects) in dependence on dose and dose rates of ionizing radiation have been collected from scientific papers issued during last 50-60 years. Quantitative data are available for 80 species of cultivated and over 70 species of wild plants. Data are maintained as database in MS Access that contains nearly 19000 records (over 5000 datasets) at the moment; the work is ongoing.
As critical exposure levels, there are considered doses producing 50% changes of biological effect at acute impact (ED50), or dose rates resulting in 10% changes at chronic exposure of plants (EDR10). Critical doses for different species are calculated from dose-effect dependences obtained with the corresponding data sets. Primary data are assesed for their quality according to several criteria. Three models (linear, logariphmic, and logistic) are tested for an applicability to fit a dose-effect dependence taking account of their goodness-of-fit and robustness of ED50 and EDR10 estimates. The critical doses and dose rates found from available information on reproduction and survival are presented. It is discussed to what extent critical radiotoxicity values can depend on a type of model chosen to fit dose dependence and quality of primary data. Findings obtained contribute to developing a unified concept of the environment and human protection from radiation and nonradiation contaminations.
Primary author
Dr
Alla Oudalova
(Russian Institute of Agricultural Radiology & Agroecology)
