| Autor: |
Purusottam Banjare, Jagadish Singh, Ester Papa, Partha Pratim Roy |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Environmental Science and Pollution Research. 30:10599-10612 |
| ISSN: |
1614-7499 |
| DOI: |
10.1007/s11356-022-22635-3 |
| Popis: |
With the aim of identification of toxic nature of the diverse pesticides on the aquatic compartment, a large dataset of pesticides (n = 325) with experimental toxicity data on two algal test species (Pseudokirchneriella subcapitata (PS) (synonym: Raphidocelis subcapitata, Selenastrum capricornutum) and Scenedemus subspicatus (SS)) was gathered and subjected to quantitative structure toxicity relationship (QSTR) analysis to predict aquatic toxicity of pesticides. The QSTR models were developed by multiple linear regressions (MLRs), and the genetic algorithm (GA) was used for the variable selection. The developed GA-MLR models were statistically robust enough internally (Q |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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