The Vaccinium genus comprises more than 126 genera of perennial flowering plants that are commonly adapted to poor and acidic soils or epiphytic environments. Their molecular and genomic characterization is a result of the recent advent in next-generation sequencing technology. In the current research, extracts were prepared in different media, such as petroleum ether, methanol and ethanol. An extract of Vaccinium macrocarpon (cranberry) was used at a dose of 200-400 mg/kg by weight (B.wt). Levels of oxidative stress markers, i.e., superoxide dismutase (SOD), catalase (CAT), glutathione (GSH), advanced oxidation protein products (AOPPs) and malondialdehyde (MDA), were measured. A histopathological study of six vital organs in rats was also conducted. The results indicated that the antioxidant levels were lower in the group given only ethylene oxide (EtO) but higher in the groups receiving cranberry extract as a treatment. Major improvements were also observed in stress markers such as advanced oxidation protein products (AOPPs) and MDA following cranberry treatment. Histopathological changes induced by EtO were observed in the heart, kidney, liver, lung, stomach and testis and were reversed following cranberry treatment. The major toxic effects of EtO were oxidative stress and organ degeneration, as observed from various stress markers and histopathological changes. Our study showed that this extract contains strong antioxidant properties, which may contribute to the amelioration of the observed toxic effects.
Nitrogen (N) deficiency and inefficient fertilizer use pose serious challenges to sustainable citrus production in Pakistan, particularly in major citrus-growing regions such as Sargodha. This study integrated pedometric mapping, geostatistics, and satellite remote sensing to diagnose the nitrogen status of citrus orchards in District Sargodha, Pakistan. Geo-referenced soil samples were collected from 90 orchard sites at three depths (0-20, 20-40, and 40-60 cm) and analyzed for plant-available nitrate-N (NO3--N), while diagnostic leaf samples were analyzed for total nitrogen content. Spatial variability was assessed using semivariogram modeling and ordinary kriging to generate digital nutrient distribution maps. Landsat-8 OLI imagery was used to compute 43 vegetation indices (VIs) involving two and three spectral bands, and their relationships with soil NO3--N and foliage N were evaluated through correlation and regression analyses. Results revealed widespread deficiency of plant-available NO₃⁻-N in soils and total N in foliage across the study area. Surface soil NO3--N showed significant positive relationships with deeper soil layers, indicating that surface soil analysis can reliably predict N availability within the 0-60 cm soil profile. Geostatistical analysis indicated moderate to strong spatial dependence for soil NO3--N and strong spatial dependence for foliage N content. Several vegetation indices, particularly Ratio Vegetation Indices (RVI-1, RVI-2, RVI-3), NDVI-based indices, and soil-adjusted indices, exhibited strong correlations with both soil NO3--N and foliage N, explaining up to 70% of variability. The findings demonstrate the strong potential of combining pedometric mapping and Landsat-based remote sensing for regional-scale diagnosis of nitrogen status in citrus orchards, providing a foundation for site-specific and precision nitrogen management strategies.