Lead is an industrial pollutant that may exert specific toxic effect on mammals. The aim of study was to investigate the protective effect of vit. E and pumpkin seeds oil on male reproductive system of albino rat induced by lead toxicity , the studying toxic effect of lead on body weight , testis weight, Glutathione, Glutathione-s-transferase, lipid peroxide, testosterone, lead residue , sperm gram, Nrf2 gene expression and histopathological change in testes of rat. Sixty male albino rats randomly divided into 4 groups. Group I was given olive oil 3 times a week orally, group II was given 1.5 g/L lead acetate daily in drinking water, group III was given lead acetate plus 600 mg/kg/ bwt vit. E orally 3 times a week, while group IV was given lead acetate plus 288 mg/kg/bwt pumpkin seeds oil orally 3 time a week. The experiment was extended for 8 weeks. Our results revealed significant decrease in body weight, GSH, GST, testosterone hormone level and sperm viability, and significant increase in MDA, concentration of lead, sperm abnormality and expression of Nrf2 gene in group II without any significant changes in testis and epididymis weight. Moreover, the pathological changes in testes showed focal degeneration with loss of spermatogenic series in the seminiferous tubules. All above mentioned result were significantly improved in group III & IV. In conclusion, vitamin E and pumpkin seeds oil have a protective effect on the testicular damage induced by lead.
Permintaan buah dan sayuran dari tahun ke tahun semakin meningkat secara kualitas dan kuantitas. Namun belum di dukung oleh ketersediaan dari pusat produksi sehingga peningkatan impor buah dan sayur untuk memenuhi permintaan. Pemerintah berargumen, masalahnya disebabkan oleh buruknya sistem perdagangan dan inovasi/teknologi yang terbatas. Produk yang dipanen tidak dapat di distribusikan ke daerah lain dengan cepat karena informasi transportasi dan distribusi jaringan yang terkendala.
Rice blast caused by Pyricularia oryzae, which is a major threat to food security worldwide, markedly decreases the yield of rice. Some rhizobacteria called 'plant growth-promoting rhizobacteria' inhibit plant pathogens and improve plant growth by secreting iron-chelating siderophores. The decreased availability of iron adversely affects the survival of pathogens, especially fungal pathogens, in the rhizosphere. This study aimed to determine the morphological diversity of siderophore-producing bacteria, analyze the type of siderophores produced by the bacteria, and examine their growth-inhibitory activity against Pyricularia oryzae. The rhizobacteria were isolated from the rhizosphere of Sembada Hitam variety of black rice plants in Pakem, Sleman, Yogyakarta, Indonesia. In total, 12 distinct isolates were screened for the production of siderophores. It was found that 9 out of 12 bacteria produced siderophore and most of them were Gram positive bacteria. The best siderophore-producing isolates with different type of siderophore were used in further studies. The IS3 and IS14 isolates were found to be the best siderophore producer that produced hydroxamate and mixed type of hydroxamate-carboxylate type of siderophore, respectively. In the dual culture assay, IS14 showed a strong antagonistic effect against Pyricularia oryzae by the 81.17% inhibition.
This article was created with the aim of increasing public awareness in Indonesia that business competition in the current era of revolution 4.0 cannot be separated from technology and human resources which are the keys to facing global competition in this industrial era.
Kecamatan Pacet, Kabupaten Mojokerto is one of an area with many landslide events in East Java Province. As a mitigation effort, this research aimed to map the landslide susceptibility class distribution of the research area. This research applied a machine learning analysis technic which combined Frequency Ratio (FR) and Logistic Regression (LR) models to assess the landslide susceptibility class distribution. FR bivariate analysis is used to normalized the data and to identify the influence significancy on each class of triggering factors. LR multivariate analysis is applied to generate the landslide probability (susceptibility) and to show the influence significancy of each triggering factor to landslide events. There are 12 triggering factors to landslide used in this research, which is: TPI, TWI, SPI, slope, aspect, elevation, profile curvature, distance to drainage, geological unit, rainfall, land use, and distance to the road. This research has 383 landslides and 383 non-landslide events as the data sample based on field survey, BPBD Kabupaten Mojokerto, and Google Earth Pro imagery interpretation. The proportion of dataset training and testing is 70% and 30%, which generated from the data inventory. This research used ROC analysis to validate the landslide susceptibility model. The result showed that the landslide susceptibility model has an AUC value of 0.91, which indicated that the model has high accuracy.
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