Control of Ralstonia Solanacearum Infection in Tomato, Brinjal and Capsicum by Antibiotic Sensitivity Test

Ralstonia solanacearum is one of the important dreaded soil's borne bacterial phytopathogen which causes enormous losses in the crop plants in tropical, subtropical and temperate region of the world. In India, the disease is highly prevalent and active throughout the year where the soil is acidic in the Eastern Plateau and Hill Region. Once the disease is established in the field, it cannot be controlled by chemical means. Keeping these in view, screening of potential antibiotics for the management of R. solanacearum was done. In the present study, three strains of R. solanacearum were isolated from Brinjal, Tomato and Capsicum. Against these three strains of R. solanacearum, four antibiotics were screened through food poison techniques viz. Kasugamycin, Streptomycin, Ceftriaxone and Gentamicin. The different strains of R. solanacearum and antibiotic sensitivity showed varied response. Among the screened antibiotics, Gentamicin showed strong antibacterial efficacy which inhibited 100% Colony-forming Unit (cfu) at very low concentration (1 ppm) followed by Ceftriaxone which inhibited >50% cfu at 1 ppm against all three strains. However, Streptomycin also showed antibacterial efficacy and inhibited >50% cfu at 3 ppm, but Kasugamycin was found less antibacterial as compared to other tested antibiotics and inhibited >50% cfu at 4 ppm

Understanding biophysical and socio-economic determinants of maize (Zea mays L.) yield variability in eastern India

AbstractThe aim of this paper was to investigate the key factors limiting maize (Zea mays L.) productivity in eastern India to develop effective crop and nutrient management strategies to reduce yield gap. A series of farm surveys was conducted in two distinct agro-ecological zones of eastern India to evaluate the importance of crop management and structural constraints for maize productivity in a range of socio-economic settings prevalent in smallholder farms. Surveys revealed yield gap and yield variations among farms across growing seasons. Lower yields of farmers were mainly associated with farmer's ethnic origin, availability of family labor, land ownership, legumes in cropping sequence, irrigation constraints, seed type, optimal plant population, labor and capital investment, and use of organic manure. These constraints varied strongly between sites as well as growing seasons. Stochastic Frontier Analysis suggested intensification of farm input use and removal of socio-economic and structural constraints for increasing efficiency in maize production. The use of multivariate classification and regression tree analysis revealed that maize yield was affected by multiple and interacting production constraints, differentiating the surveyed farms in six distinct resource groups. These farm types lend scope for introducing typology-specific crop management practices through appropriate participatory on-farm evaluation/trials. Summarily, this research indicated that interacting production constraints should be addressed simultaneously, considering the need of different farm types, if significant productivity improvements are to be achieved. This will be, however, more challenging for less endowed farms due to lack of social and financial capital to improve management intensity.A typology-specific farm support strategy may be formulated to offset this lack of entitlement among resource-poor farmers

Control of Ralstonia solanacearum Infection in Tomato, Brinjal and Capsicum by antibiotic sensitivity test

Ralstonia solanacearum is one of the important dreaded soil’s borne bacterial phytopathogen which causes enormous losses in the crop plants in tropical, subtropical and temperate region of the world. In India, the disease is highly prevalent and active throughout the year where the soil is acidic in the Eastern Plateau and Hill Region. Once the disease is established in the field, it cannot be controlled by chemical means. Keeping these in view, screening of potential antibiotics for the management of R. solanacearum was done. In the present study, three strains of R. solanacearum were isolated from Brinjal, Tomato and Capsicum. Against these three strains of R. solanacearum, four antibiotics were screened through food poison techniques viz. Kasugamycin, Streptomycin, Ceftriaxone and Gentamicin. The different strains of R. solanacearum and antibiotic sensitivity showed varied response. Among the screened antibiotics, Gentamicin showed strong antibacterial efficacy which inhibited 100% Colony-forming Unit (cfu) at very low concentration (1 ppm) followed by Ceftriaxone which inhibited >50% cfu at 1 ppm against all three strains. However, Streptomycin also showed antibacterial efficacy and inhibited >50% cfu at 3 ppm, but Kasugamycin was found less antibacterial as compared to other tested antibiotics and inhibited >50% cfu at 4 ppm

Evaluation of the therapeutic efficacy of Vitex agnus-castus extract on cisplatin-induced hematotoxicity in female Wistar rats

Background and Aim: Cisplatin (CP) is a preferred drug for cancer treatment but it has dose-dependent side effects. Vitex agnus-castus (VAC) berry extract has antioxidant, free-radical scavenging, and anti-inflammatory activities. This study explored the mitigating effects of VAC extract (VACE) on acute hematotoxicity induced by CP in female Wistar rats. Materials and Methods: Female Wistar rats (n = 30) were randomly divided into five groups (n = 6/group). The normal control (NC) group received no treatment. The CP control group received CP (7 mg/kg.b.w. ip, single dose) and the drug control group (VACE-650) received VACE (650 mg/kg b.w. oral, daily) for 7 days. Both groups received a single dose of CP (7 mg/kg b.w. ip), followed by 350 and 650 mg/kg.b.w. of VACE daily orally (CPVACE-350 and CPVACE-650 groups, respectively) for 7 days. Results: After a single dose of CP (7 mg/kg b.w.), the red blood cells (RBC), hematocrit (HCT), white blood cells (WBC), and platelets significantly decreased. In the VAC-350 group, the reduction in total WBC count was less than that in the VAC-650 group on the 3rd day. The RBC and HCT values of the VACE groups were better than that of the CP control, but the VACE-350 treatment group showed significant improvement only on the 3rd day. Conclusion: Our findings showed that VACE can mitigate CP-induced damage to peripheral blood cells at lower doses

Trichoderma asperellum, a potential fungal biocontrol agent against Aspergillus niger

Trichoderma asperellum is free-living, ubiquitous fungus which is very common in the habitat of soil and root ecosystem, is known as a potent opportunistic, avirulent plant symbionts and it parasitizes several soilborne phytopathogens. Aspergillus niger is well known black mold which causes several storage diseases. Among the storage diseases, black mould disease of onion is an important disease which is caused by A. niger. Antagonsitic potential of T. asperellum was assayed against three isolates of A. niger [RC1, RC2 (isolated from soil samples of Farm 1 and 2) and RC3 isolated from diseases onion]. Antagonistic efficacy of T. asperellum of A. niger almost similar against all the test isolates. Percentage inhibition of radial growth (PIRG) of A. niger by T. asperellum inhibited 55.17% within five days, 77.20% within 7 days and 92.06% in 12 days. Antagonistic efficacy of T. asperellum can be exploited in the management of black mould disease of onion

An Investigation of Suicidal Ideation from Social Media Using Machine Learning Approach

  Despite improvements in the detection and treatment of severe mental disorders, suicide remains a significant public health concern. Suicide prevention and control initiatives can benefit greatly from a thorough comprehension and foreseeability of suicide patterns. Understanding suicide patterns, especially through social media data analysis, can help in suicide prevention and control efforts. The objective of this study is to evaluate predictors of suicidal behavior in humans using machine learning. It is crucial to create a machine learning model for detection of suicide thoughts by monitoring a user's social media posts to identify warning signs of mental health issues. Through the analysis of social media posts, our research intends to develop a machine learning model for identifying suicide ideation and probable mental health problems. This study will help immensely to comprehend the environmental risk factors that influence suicidal thoughts and conduct across time. In this research the use of machine learning on social media data is an exciting new direction for understanding the environmental risk factors that impact an individual's susceptibility to suicide ideation and conduct over time. The machine learning algorithms showed high accuracy, precision, recall, and F1-score in detecting suicide patterns on social media data whereas SVM has the highest performance with an accuracy of 0.886.    

Gaussian Wigner distributions and hierarchies of nonclassical states in quantum optics-The single mode case

A recently introduced hierarchy of states of a single mode quantised radiation field is examined for the case of centered Guassian Wigner distributions. It is found that the onset of squeezing among such states signals the transition to the strongly nonclassical regime. Interesting consequences for the photon number distribution, and explicit representations for them, are presented.Comment: 11 Pages Revtex one eps figure. Replaced with minor changes in ref

MGNREGA in Tamil Nadu: a story of success and transformation?

Social protection has emerged as a key driver of development policy at the beginning of the twenty‐first century. It is widely considered a ‘good thing’ that has the potential not only to alleviate poverty and vulnerability, but also to generate more transformative outcomes in terms of empowerment and social justice. Based on an ethnographic study of the implementation of the M ahatma G andhi N ational R ural E mployment G uarantee A ct (MGNREGA ), India's flagship social protection policy, this paper takes a critical look at what this policy's ‘success’ consists of. The study was carried out in T amil Nadu, a state widely presented as a ‘success’ in terms of MGNREGA 's implementation, and describes who participates in the scheme and how success is understood and expressed at different social and bureaucratic levels. In terms of MGNREGA 's outcomes, we conclude that the scheme is benefitting the poorest households – and D alits and women in particular – especially in terms of providing a safety net and as a tool for poverty alleviation. But the scheme does more than that. It has also produced significant transformative outcomes for rural labourers, such as pushing up rural wage levels, enhancing low‐caste workers' bargaining power in the labour market and reducing their dependency on high‐caste employers. These benefits are not only substantial but also transformative in that they affect rural relations of production and contribute to the empowerment of the rural labouring poor. However, in terms of creating durable assets and promoting grassroots democracy, the scheme's outcomes are much less encouraging