Integrated predictive QSAR, Read Across, and q-RASAR analysis for diverse agrochemical phytotoxicity in oat and corn: A consensus-based approach for risk assessment and prioritization-Reference-Cited by-同舟云学术

Integrated predictive QSAR, Read Across, and q-RASAR analysis for diverse agrochemical phytotoxicity in oat and corn: A consensus-based approach for risk assessment and prioritization

Published:2024-01-17 Issue:8 Volume:31 Page:12371-12386
ISSN:1614-7499
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Pandey Nilesh Kumar,Murmu Anjali,Banjare Purusottam,Matore Balaji Wamanrao,Singh Jagadish,Roy Partha Pratim^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11356-024-31872-7.pdf

Reference54 articles.

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3. Ali S, Ullah MI, Sajjad A, et al (2021) Environmental and health effects of pesticide residues. Sustainable Agriculture Reviews 48, Springer, Vol. 2; pp 311–336

4. Araújo RAL, Cremonese C, Santos R et al (2022) Association of occupational exposure to pesticides with overweight and abdominal obesity in family farmers in southern Brazil. Int J Environ Health Res 32:2798–2809. https://doi.org/10.1080/09603123.2021.1991284

5. Banerjee A, Roy K (2022) First report of q-RASAR modeling toward an approach of easy interpretability and efficient transferability. Mol Divers 26:2847–2862. https://doi.org/10.1007/s11030-022-10478-6

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