Impact assessment of natural variations in different weather factors on the incidence of whitefly, Bemisia tabaci Genn. and yellow vein mosaic disease in Abelmoschus esculentus (L.) Moench.

Bemisia tabaci Gennadius, also renowned as the silver leaf whitefly, is among the most damaging polyphagous insect pests in many commercially important crops and commodities. A set of field experiments were conducted for three consecutive years i.e., 2018-2020, to investigate the role of variations in rainfall, temperature, and relative humidity on the abundance of B. tabaci in okra (Abelmoschus esculentus L. Moench). In the first experiment, the variety Arka Anamika was cultivated twice a year to analyse the incidence of B. tabaci concerning the prevailing weather factors and the overall pooled incidence recorded during the dry and wet season was 1.34 ± 0.51 to 20.03 ± 1.42 and 2.26 ± 1.08 to 18.3 ± 1.96, respectively. Similarly, it was observed that the highest number of B. tabaci catch (19.51 ± 1.64 whiteflies/3 leaves) was recorded in morning hours between 08:31 to 09:30 a.m. The Yellow Vein Mosaic Disease (YVMD) is a devastating disease of okra caused by begomovirus, for which B. tabaci acts as a vector. In another experiment, screening was conducted to check the relative susceptibility of three different varieties viz., ArkaAnamika, PusaSawani, and ParbhaniKranti against B. tabaci (incidence) and YVMD ((Percent Disease Incidence (PDI), Disease Severity Index (DSI), and Area Under the Disease Progress Curve (AUDPC)). The recorded data was normalized by standard transformation and subjected to ANOVA for population dynamics and PDI. Pearson's rank correlation matrix and Principal Component Analysis (PCA) have been used to relate the influences of various weather conditions on distribution and abundance. SPSS and R software were used to create the regression model for predicting the population of B. tabaci. Late sown PusaSawani evolved as a highly susceptible variety in terms of B. tabaci (24.83 ± 6.79 adults/3leaves; mean ± SE; N = 10) as well as YVMD i.e., PDI (38.00 ± 4.95 infected plants/50plants), DSI (71.6-96.4% at 30 DAS) and AUDPC (mean ß-value = 0.76; R2 = 0.96) while early sown Parbhani Kranti least susceptible to both. However, the variety ArkaAnamika was observed as moderately susceptible to B. tabaci and its resultant disease. Moreover, environmental factors were predominantly responsible for regulating the population of insect pests in the field and hence its productivity like rainfall and relative humidity were negative while the temperature was positively correlated with B. tabaci (incidence) and YVMD (AUDPC). The findings are helpful for the farmers to choose need-based IPM strategies than timing-based, which would fit perfectly with the present agro-ecosystems in all ways.

Impact of climate change induced future rainfall variation on dynamics of arid-humid zone transition in the western province of India.

The transition of the Earth's climate from one zone to another is one of the major causes behind biodiversity loss, rural-urban migration, and increasing food crises. The rising rate of arid-humid zone transition due to climate change has been substantially visible in the last few decades. However, the precise quantification of the climate change-induced rainfall variation on the climate zone transition still remained a challenge. To solve the issue, the Representative Grid Location-Multivariate Adaptive Regression Spline (RGL-MARS) downscaling algorithm was coupled with the Koppen climate classification scheme to project future changes in various climate zones for the study area. It was observed that the performance of the model was better for the humid clusters compared to the arid clusters. It was noticed that, by the end of the 21st century, the arid region would increase marginally and the humid region would rise by 24.28-36.09% for the western province of India. In contrast, the area of the semi-arid and semi-humid regions would decline for the study area. It was observed that there would be an extensive conversion of semi-humid to humid zone in the peripheral region of the Arabian sea due to the strengthening of land-sea thermal contrast caused by climate change. Similarly, semi-arid to arid zone conversion would also increase due to the inflow of dry air from the Arabian region. The current research would be helpful for the researchers and policymakers to take appropriate measures to reduce the rate of climate zone transition, thereby developing the socioeconomic status of the rural and urban populations.

An assessment of serum oxidative stress and antioxidant parameters in patients undergoing treatment for cervical cancer.

OBJECTIVES: Oxidative stress and antioxidants are involved in all aspects of cervical cancer. The present study evaluated serum levels of oxidative stress and antioxidant biomarkers in cervical cancer patients and healthy controls. Moreover, the effect of Concurrent chemoradiotherapy (CCRT) on these biomarkers and their association with treatment outcome was investigated. DESIGN: This study included ninety-seven cervical cancer patients and thirty controls. Three oxidative stress parameters (8-hydroxy-2-deoxyguanosine, Protein Carbonyl, and Malondialdehyde) and four antioxidant parameters (Superoxide Dismutase, Catalase, Glutathione Peroxidase, and Total Antioxidant Status) were measured. The analysis was conducted using repeated measures ANOVA for comparing among the phases (before, during, and follow-up) of treatment. The control group was compared using the Dunnet test. Logistic regression analysis was also conducted between oxidative stress and antioxidant parameters to study their association. RESULTS: Significant rises in oxidative damage markers were observed in cervical cancer patients of all stages, compared to controls. There was a further increase in oxidative stress markers during CCRT among complete responders. However, among non-responders, the oxidative stress biomarkers like Protein Carbonyl and Malondialdehyde were unaltered during CCRT. Simultaneously, there was a significant decrease in antioxidant parameters in cervical cancer patients of all stages compared to controls. During CCRT, antioxidant levels continuously depleted among complete responders. Nevertheless, in non-responders, antioxidant parameters like Superoxide Dismutase and Total Antioxidant Status were consistent. The oxidative stress markers and antioxidant parameters normalized among complete responders at six months follow up. While in non-responders, the normalization of these parameters was not observed. CONCLUSION: Our results indicate that increased oxidative stress and diminished antioxidants among patients were associated with carcinoma cervix. Induced oxidative stress and decreased antioxidant parameters during CCRT among the complete responders show the treatment's efficacy. Oxidant-antioxidant profile merits investigation as markers of diagnosis, treatment response, survival, and recurrence in extensive prospective studies.

Diagnostic and prognostic application of Raman spectroscopy in carcinoma cervix: A biomolecular approach.

Blood serum samples from 63 cervical cancer patients and 30 controls were collected at three different phases of the treatment (i.e. before, during, and at follow up). The spectra of serum samples from control as well as patients were classified into different groups using principal component analysis (PCA) and linear discriminant analysis (LDA) based on different phases of treatment using R software. The spectra of blood serum samples have shown the distinct changes and differences compared with each other in the profile of various biochemical parameters. The sensitivity (92.5%) and specificity (85%) were observed maximum between control and cervical cancer patients (before treatment). Between different phases of treatment, the sensitivity and specificity were less but, all accuracies of detection and classification reached above 50%. This method can be considered as a screening method for detection and treatment monitoring.