Insecticidal control of insect pests of rice crop may influence the environment and nontarget species in rice fields. , one of the most common nontarget species present in rice fields, received lethal and sublethal exposures to insecticides used in rice cultivated fields. The present work explores the effects of insecticides in six non-targeted strains collected from rice fields with a history of insecticidal usage in comparison with a laboratory susceptible reference strain (REF) and a strain (LHR) collected from a rice field with no, or minimal, history of insecticidal usage. Two types of effects, the resistance development and performance of biological traits, were studied by selecting seven commonly used insecticides in rice fields in Punjab, Pakistan. The results revealed that the strains collected from the rice fields with histories of insecticidal usage exhibited significant levels of resistance to flonicamid, chlorantraniliprole, gamma-cyhalothrin, fipronil, monomehypo, triazophos, and carbofuran, when compared with REF and LHR strains. In addition, strains revealed a significantly weaker performance of biological traits (rate of pupae formation, survival of male and female adults (except females of OKR and MTN strains), and ovipositing females) than those of the REF and LHR strains. However, the fecundity of all field strains was only significantly different with that of the REF strain. In conclusion, the results highlight the problem of the negative effects of insecticidal usage in rice fields on nontarget species present in the same environment, and emphasize the need to adopt pest management activities that are safe for the environment.
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http://dx.doi.org/10.7717/peerj.13697 | DOI Listing |
Trop Biomed
December 2024
NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University, Haikou, Hainan, 571199, China.
Mosquito-borne diseases have wreaked havoc on human health, with consequences dramatically increasing in recent years. The incidence of mosquito-borne diseases is closely linked to the locations that are chosen for urban development. The aim of this study was to provide characteristics of mosquito breeding sites in northern and southern China and to document the most important arbovirus vectors found in the study area, the evidence generated here is critical for early prevention and control inter ventions.
View Article and Find Full Text PDFSci Rep
January 2025
School of Architecture, Planning and Environmental Policy, University College Dublin, Dublin, Ireland.
The Chinese government attaches great importance to the ecological restoration of abandoned open-pit mines, increasing the area of cultivated land, and ensuring food security. Soil reconstruction is a crucial step in ecological restoration of abandoned open-pit mines. This study investigated the utilization of hydrophobic sand to create an Air-Permeable Aquiclude (APAC) under the plant root zones, thereby minimizing water infiltration and enhancing soil aeration.
View Article and Find Full Text PDFPlant Dis
January 2025
LSU AgCenter, Plant Pathology and Crop Physiology, Baton Rouge, Louisiana, United States.
In July 2023, panicle and leaf blight-like symptoms were observed from the rice () variety, PVL03, in research field plots in Louisiana (Rayne, LA 70578, USA; 30.21330⁰ N, 92.37309⁰ W).
View Article and Find Full Text PDFEur Phys J C Part Fields
January 2025
A measurement of the dijet production cross section is reported based on proton-proton collision data collected in 2016 at by the CMS experiment at the CERN LHC, corresponding to an integrated luminosity of up to 36.3 . Jets are reconstructed with the anti- algorithm for distance parameters of and 0.
View Article and Find Full Text PDFFront Neurosci
January 2025
Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX, United States.
Introduction: In the rapidly advancing field of 'omics research, there is an increasing demand for sophisticated bioinformatic tools to enable efficient and consistent data analysis. As biological datasets, particularly metabolomics, become larger and more complex, innovative strategies are essential for deciphering the intricate molecular and cellular networks.
Methods: We introduce a pioneering analytical approach that combines Principal Component Analysis (PCA) with Graphical Lasso (GLASSO).
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