Remote sensing and climate services improve irrigation water management at farm scale in Western-Central India.

The enormous progress in weather and extended range predictions for the Indian monsoon over the last decade has not been translated to operationalized irrigation water management tools despite many agricultural advisories from operational agencies. The limited implementation is mainly due to the resolution mismatches of forecasts and decision-needs and a lack of soil moisture monitoring networks. Sustained soil moisture monitoring suffers from the high cost to farmers in installing distributed sensors. Here we develop an irrigation water management tool for the farmers at farm scale, which starts with utilizing and merging a few available soil moisture sensors and L-band satellite observations of surface soil moisture using machine learning. Such derived soil moisture field is used as the initial condition with the multi-ensemble future rainfall for the following few weeks given the weather/extended range forecasts in a farm-scale ecohydrological model. This ecohydrological model is integrated with Monte-Carlo simulations within a stochastic optimization framework to minimize water use while not allowing the soil moisture to drop below a threshold level with a certain probability. The optimization results in water arrangement decisions 2 weeks in advance and water application decisions 1-7 days in advance. We also estimate the water storage capacity needed at farm scale for effective water utilization. We find that 20-45 % and 17-35 % water savings were achievable for Kharif and Rabi seasons, respectively, without losing any yield when applied to grape farms of Nashik, Maharashtra, India. The proposed framework is co-developed with the farmers and can be used in any region for any crops, since it is generalized and easy to transfer. This is an extension of our earlier work to an end-to-end system using satellite data for soil moisture.

Changes in the thermodynamical profiles of the subsurface ocean and atmosphere induce cyclones to congregate over the Eastern Arabian Sea.

The Arabian Sea accounts for a small fraction of Tropical Cyclones-about 2% of the annual global mean. However, the damage they might inflict there and along its coastlines, which are thickly populated, is considerable. This study explores the influence of the changes in the vertical profiles of atmosphere and oceanic environment throughout the seasons of March-June (MAMJ) and October-December (OND) in clustering the cyclogenesis over the Eastern Arabian Sea (EAS) next to the Indian West coast in recent decades. Further investigation has been done into the precise contribution of atmospheric and oceanic factors to fluctuations in cyclone intensity throughout the MAMJ and OND seasons separately. Two seasons have been studied independently in order to better understand the distinct influences of the vertical fluctuation of atmospheric factors and the thermal structure of the oceanic subsurface on cyclogenesis. More severe cyclones are caused by high tropical cyclone heat potential, and ocean subsurface warming present in this sea region influences the genesis of storms mostly during MAMJ. On the other hand, mid tropospheric relative humidity and thermal instability influences more on increasing cyclogenesis and its clustering over EAS during OND season. The findings suggest that large-scale oceanic subsurface conditions have a crucial influence on cyclogenesis over EAS through oceanic sensitivity to atmospheric forcing. This cyclone tendency and its clustering over EAS needs attention in terms of forecasting, catastrophe risk reduction, and climate change adaptation due to the security of coastal urban and rural habitats, livelihoods, and essential infrastructure along the coasts.

Development of a probabilistic early health warning system based on meteorological parameters.

Among the other diseases, malaria and diarrhoea have a large disease burden in India, especially among children. Changes in rainfall and temperature patterns likely play a major role in the increased incidence of these diseases across geographical locations. This study proposes a method for probabilistic forecasting of the disease incidences in extended range time scale (2-3 weeks in advance) over India based on an unsupervised pattern recognition technique that uses meteorological parameters as inputs and which can be applied to any geographical location over India. To verify the robustness of this newly developed early warning system, detailed analysis has been made in the incidence of malaria and diarrhoea over two districts of the State of Maharashtra. It is found that the increased probabilities of high (less) rainfall, high (low) minimum temperature and low (moderate) maximum temperature are more (less) conducive for both diseases over these locations, but have different thresholds. With the categorical probabilistic forecasts of disease incidences, this early health warning system is found to be a useful tool with reasonable skill to provide the climate-health outlook about possible disease incidence at least 2 weeks in advance for any location or grid over India.

Real time extended range prediction of heat waves over India.

Heat waves over India occur during the months of March-June. This study aims at the real-time monitoring and prediction of heat waves using a multi-model dynamical ensemble prediction system developed at Indian Institute of Tropical Meteorology, India. For this, a criterion has been proposed based on the observed daily gridded maximum temperature (Tmax) datasets, which can be used for real-time prediction as well. A heat wave day is identified when either (1) Tmax (a)≥ its climatological 95th percentile (calculated from daily values during March-June and for 1981-2010), (b) >36 °C, and (c) its departure from normal is >3.5 °C, Or, (2) when the Tmax >44 °C. Three heat wave prone regions, namely, northwest, southeast and northwest-southeast regions are recognized and heat wave spells of minimum consecutive six days are identified objectively for each region during 1981-2018. It is noticed that the prediction system has reasonable skill in predicting the heat waves over heat wave prone regions of India. Forecast verification of heat wave spells during 2003-2018 reveals that the prediction system has great potential in providing overall indication about the onset, duration and demise of the forthcoming heat wave spell with sufficient lead time albeit with some spatio-temporal error.

Evaluation of the modulatory role of nimodipine in seizures induced by kainic acid and pentylenetetrazole in mice.

The present study aimed at establishing the CD50 and CD99 doses along with complete dose-response profile of two convulsants, namely, kainic acid and pentylenetetrazole (PTZ), in mice and evaluating the modulatory role of the cerebroselective dihydropyridine calcium channel blocker nimodipine. Kainic acid and PTZ were administered intraperitoneally in a dose range of 1-30 mg kg(-1) and 35-75 mg kg(-1), respectively. Nimodipine was administered in graded doses (1-8 mg kg(-1), i.p.) with 15 min pretreatment time against CD99 doses of both kainic acid and PTZ. The effect of nimodipine in treated groups was compared with that of vehicle in control group. The CD50 and CD99 doses for kainic acid was found to be 2.5 and 7.5 mg kg(-1), while those of PTZ were found to be 50 and 75 mg kg(-1), respectively. Pretreatment with nimodipine inhibited seizures in a dose-dependent manner, in terms of both percentage of positive responders and seizure scores against CD99 doses of both kainic acid and PTZ. The results established the protective efficacy of nimodipine against both kainic acid and PTZ-induced seizures, suggesting the role of calcium ion as a common mediator for both the types of seizures. However, further studies are necessary to ascertain the exact molecular mechanism of nimodipine.

Anti-seizure efficacy of nimodipine in pentylenetetrazole and kainic acid combined seizure models in mice.

The present study aimed at establishing two models of experimental seizures by combination treatment with subconvulsive doses of PTZ and kainic acid in adult male mice and evaluating the modulatory role of cerebroselective dihydropyridine calcium channel blocker, nimodipine. The CD50 +/- SEM value for PTZ was found to be 20.00 +/- 0.92 mg/kg, ip in kainic acid (administered at per se subconvulsive dose of 1.00 mg/kg, ip) pretreated mice while CD50 +/- SEM value for kainic acid was found to be 0.30 +/- 0.08 mg/kg, ip in PTZ (administered at per se subconvulsive dose of 30.00 mg/kg, ip) pretreated mice. Nimodipine (5.00 mg/kg, ip) significantly protected the mice from seizure in both of the combination in vivo seizure models. The results suggested synergistic interaction between PTZ and kainic acid at subconvulsive dose combination while the protective efficacy of nimodipine suggested the role of calcium ion as an important mediator for the genesis of seizures.

The distribution of neuronal nitric oxide synthase in the nucleus tractus solitarii of the squirrel monkey.

The distribution of neuronal nitric oxide synthase (nNOS) containing neurons and fibers in subnuclei of the nucleus tractus solitarii (NTS) in the squirrel monkey, Saimuri sciureus, was investigated by nNOS immunohistochemistry and nicotinamide adenine dinucleotide phosphate (NADPH)-diaphorase histochemistry. Generally, the staining pattern of nNOS and NADPH-diaphorase in the NTS was similar. A high density of neurons and fibers exhibiting both nNOS immunoreactivity and NADPH-diaphorase reactivity was present in the central, medial, intermediate, and dorsolateral subnuclei of the NTS. A moderate density of neurons and fibers that stained for both nNOS and NADPH-diaphorase was noted in the interstitial and ventromedial subnuclei. The gelatinosus and commissural subnuclei contained a low density of neurons and fibers exhibiting nNOS immunoreactivity and NADPH-diaphorase staining. The dorsal motor nucleus of vagus contained a high density of nNOS immunopositive and NADPH-diaphorase containing neurons and fibers at the rostral level, but contained a moderate density of positive fibers and very few positive neurons at the intermediate, subpostremal and commissural NTS levels. Incongruence was noted, however, between nNOS immunostaining and NADPH-diaphorase staining in blood vessels in the brainstem. Capillaries and small vessels exhibited strong staining for NADPH-diaphorase but no nNOS immunoreactivity. In summary, this work substantiates the presence of nNOS in subnuclei of the monkey NTS and is consistent with a role for NO(.) in neurotransmission in primate NTS.

Experimental re-evaluation of flunarizine as add-on antiepileptic therapy.

BACKGROUND: Experimental studies have found several calcium channel blockers with anticonvulsant property. Flunarizine is one of the most potent calcium channel blockers, which has shown anticonvulsant effect against pentylenetetrazole (PTZ) and maximal electroshock (MES)-induced seizures. However, further experimental and clinical trials have shown varied results. We conducted a PTZ model experimental study to re-evaluate the potential of flunarizine for add-on therapy in the management of refractory epilepsy. MATERIALS AND METHODS: Experiments were conducted in PTZ model involving Swiss strain mice. Doses producing seizures in 50% and 99% mice, i.e. CD(50) and CD(99) values of PTZ were obtained from the dose-response study. Animals received graded, single dose of sodium valproate (100-300 mg/kg), lamotrigine (3-12 mg/kg) and flunarizine (5-20 mg/kg), and then each group of mice was injected with CD(99) dose of PTZ (65mg/kg i.p.). Another group of mice received single ED(50) dose (dose producing seizure protection in 50% mice) of sodium valproate and flunarizine separately in left and right side of abdomen. Results were analysed by Kruskal-Wallis ANOVA on Ranks test. RESULTS: As compared to control, sodium valproate at 250 mg/kg and 300 mg/kg produced statistical significant seizure protection. At none of the pre-treatment dose levels of lamotrigine, the seizure score with PTZ differed significantly from that observed in the vehicle-treated group. Pre-treatment with flunarizine demonstrated dose-dependent decrease in the seizure score to PTZ administration. As compared to control group, flunarizine at 20 mg/kg produced statistical significant seizure protection. CONCLUSION: As combined use of sodium valproate and flunarizine has shown significant seizure protection in PTZ model, flunarizine has a potential for add-on therapy in refractory cases of partial seizures. It is therefore, we conclude that further experimental studies and multicenter clinical trials involving large sample size are needed to establish flunarizine as add-on therapy in refractory epilepsy.