This study was carried out with the aim of evaluating pathogenicity of Sclerotium rolfsii to different crops influenced by different crop rhizosphere microbes and their population dynamics. Napier was found to be non-preferred host against S. rolfsii pathogen. Among the seven tested crops in micro-plot study, highest level of induction of sclerotial population was observed in groundnut and cow peas (21.81 and 20.06 numbers of sclerotia /100 g of soil, respectively), whereas, reduction in sclerotial number was observed in napier, maize and sorghum plots. S. rolfsii induced damping off was found to be significantly positively correlated with average sclerotial population irrespective of plant cover even at 1% level of significance (r = 0.985) and among the microbiological parameters, FDA was found to be significantly negatively correlated with damping off disease percentage at 5% level of significance (r = - 0.830). Therefore, Napier may be the potential crop to be incorporated in the sequence of rice/vegetable based cropping system in West Bengal for management of this dreaded pathogen.
A study on fluoride risk assessment was carried out in the semi-arid region of North Gujarat, India. The intricate link between groundwater fluoride and human health, lack of awareness, limited access to fluoride treatment facilities, and poor socio-economic conditions of the ~5.0 million rural population in the studied region make them vulnerable to fluoride. This study aimed to evaluate non-carcinogenic health risk, its severity, and the total population at risk in these regions due to chronic fluoride exposure. Fluoride in our samples (n=132) exhibits large spatial variability, and it ranges from ~0.13-8.64 mg.L-1 (average: 1.64 ± 1.50 mg.L-1) and 43% of them are more than the WHO limit of 1.5 mg.L-1. Hazard Quotient (HQ) was used to assess health risks through the ingestion exposure route. The comparison of the range (0.1-8.55 versus 0.06-4.11), average (1.63 ± 1.49 versus 0.78 ± 0.72), and median (1.26 versus 0.60) of HQ between children and adults highlights that the former are at more risk compared to latter. Our conservative estimates suggest that ~0.45 million children and ~1.06 million adult population, ~55% and ~20% of the respective population classes, of the region, are potentially at risk. The empirical Bayesian Kriging model was used to produce risk-assessments maps. These can help policymakers in prioritizing the application of mitigation funding and resources, and in increasing testing efforts in high-risk areas. We believe this study should guide policymakers to adopt strategies in ensuring the public health safety of the rural population, children in particular, of the studied region.
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