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Several recent studies have indicated the important roles of Ser/Thr protein phosphatase1γ (PP1γ) in regulating the motility and capacitation of mammalian spermatozoa. Here, we report the presence and distribution of PP1γ protein in freshly ejaculated, in vitro capacitated and cryopreserved buffalo spermatozoa. The presence of PP1γ and its distribution were assessed by Western blotting and indirect immunofluorescence techniques, whereas the isoforms of PP1γ and their tyrosine phosphorylation status were identified by using 2D electrophoresis. The number of isoforms and the status of tyrosine phosphorylation of PP1γ were increased in capacitated spermatozoa when compared with freshly ejaculated spermatozoa. Differential pattern of expression and tyrosine phosphorylation of PP1γ were observed in cryopreserved spermatozoa, wherein some isoforms were degraded and some were tyrosine phosphorylated. In addition, immunofluorescence technique revealed that PP1γ was localized to principle, mid-piece, post-acrosomal and equatorial regions of buffalo spermatozoa. Differential distribution of tyrosine-phosphorylated proteins were observed in fresh, capacitated and cryopreserved spermatozoa. The tyrosine phosphorylation of several proteins (20, 37, 38, 52, 60, 79 and 100 kDa) were increased when sperm cells were incubated with PP1γ inhibitor, okadaic acid. Together, our results suggest that buffalo spermatozoa express different isoforms of PP1γ protein. The protein expression and tyrosine phosphorylation of PP1γ were increased during capacitation. Furthermore, the differential pattern of expression and tyrosine phosphorylation of PP1γ were observed in cryopreserved spermatozoa. In addition, the inhibition of PP1γ protein increases protein tyrosine phosphorylation in capacitation.

Atherigona soccata (Rondani) (Diptera: Muscidae) is one of the most important pests of sorghum, Sorghum bicolor (L.) Moench, in Asia, Africa, and the Mediterranean Europe. Exploitation of cytoplasmic male sterility (CMS) for hybrid production has resulted in considerable narrowing of the genetic base and may increase the vulnerability of this crop to insect pests. Therefore, we studied the expression of different mechanisms of resistance in sorghum to A. soccata in CMS (A) and maintainer (B) lines of 12 genotypes under field and greenhouse conditions. The CMS lines of A. soccata-resistant genotypes were preferred for oviposition (78.5 versus 71.5% plants with eggs) and suffered greater deadheart incidence (47.6 versus 41.6%) than the corresponding maintainer lines, whereas such differences were not apparent in CMS lines belonging to the susceptible genotypes (92.7 versus 92.3% plants with eggs and 75.6 versus 74.6% deadhearts) under multichoice field conditions. Similar differences also were observed under controlled conditions in the greenhouse. The larval period (9.0 versus 8.8 d) and pupal mortality (18.4 versus 13.4%) were greater on maintainer lines than that on the CMS lines in the resistant group. The male and female pupal weights, fecundity, and antibiosis index were greater on the CMS than on the maintainer lines. The maintainer lines showed better recovery resistance than the CMS lines, but no such differences were observed in tiller deadhearts. The differences in susceptibility to A. soccata were greater in the A. soccata resistant CMS and maintainer lines than in the CMS and maintainer lines belonging to susceptible genotypes. Conversion of A. soccata-resistant genotypes into alternate less susceptible cytoplasmic backgrounds may be undertaken for developing sorghum hybrids with stable resistance to A. soccata.

The sorghum shoot fly, Atherigona soccata Rond. (Diptera: Muscidae), is one of the most important pests of sorghum [Sorghum bicolor (L.) Moench], and host plant resistance is an important component for the management of this pest. Most of the sorghum hybrids currently under cultivation are based on cytoplasmic malesterility (CMS). To develop a strategy to develop sorghum hybrids with resistance to shoot fly, we studied the nature of gene action for resistance to this pest in F1 hybrids derived from shoot fly-resistant and -susceptible CMS and restorer lines. The hybrids based on shoot flyresistant CMS and restorer lines were glossy and trichomed and had lower proportion of plants with eggs (78.5% vs. 88.4 to 93.3%) and deadhearts (40.8% vs. 60.8 to 75.3%) than the hybrids based on other cross combinations, suggesting that resistance is required in both CMS and restorer lines for obtaining shoot fly-resistant hybrids. Proportional contributions of CMS lines for oviposition, deadhearts, leaf glossiness, and recovery resistance were greater than those of the restorer lines. The general (GCA) and specific combining ability (SCA) estimates suggested that inheritance for oviposition nonpreference, deadhearts, recovery resistance, and the morphological traits associated with resistance or susceptibility to A. soccata were governed by additive-type of gene action. The SCA effects and heterosis estimates indicated that heterosis breeding would not be rewarding in breeding for resistance to shoot fly.

Melon fruit fly, Bactrocera cucurbitae (Coquillett) is one of the most important pests of bitter gourd, Momordica charantia L. Because of the difficulties associated with chemical control of this pest, it is important to identify the traits associated with resistance and their influence on pest multiplication. There were significant differences in test genotypes for fruit infestation and larval density/fruit. The wild accessions, IC 256185, IC 248256, IC 213311, IC 248282, IC 256110 and IC 248281 were identified as resistance sources to melon fruit fly. There was a significant and positive correlation ( r = 0.96) between percentage fruit infestation and larval density/fruit. Percentage fruit infestation and larval density/fruit were positively correlated with depth of ribs, flesh thickness, fruit diameter and fruit length, and negatively associated with fruit toughness. Flesh thickness and fruit diameter explained 93.0% of the total variation for fruit fly infestation, and flesh thickness and fruit length explained 76.3% of the variation for larval density/fruit. Ascorbic acid, nitrogen, phosphorus, potassium, protein, reducing sugars, non-reducing sugars and total sugars were negatively correlated, while the moisture content showed a positive association with fruit fly infestation and larval density/fruit. Moisture, potassium and reducing sugar content explained 97.4% of the total variation in fruit infestation, while moisture, phosphorus, protein, reducing and total sugars explained 85.7% variation for larval density/fruit

The shoot fly, Atherigona soccata is an important pest of sorghum, and host plant resistance is one of the most effective components for managing this pest. Most of the hybrids grown in India based on milo cytoplasm (A1 cytoplasm) are highly susceptible to shoot fly. Therefore, the present studies were undertaken to evaluate different male-sterile cytoplasms (CMS) for their relative susceptibility to sorghum shoot fly. Oviposition and deadheart formation were significantly lower on the maintainer lines as compared to the corresponding male-sterile lines. Among the cytoplasms tested, A4M cytoplasm showed antixenosis for oviposition and suffered lower deadheart formation than the other cytoplasms tested. The A4G1 and A4M cytoplasms suffered lower deadhearts in tillers than the other cytoplasms. Recovery following shoot fly damage in A4M, A3, and A2 cytoplasms was better than in the other cytoplasms tested. The larval and pupal periods were longer and male and female pupal weights lower in A4M and A4VzM CMS backgrounds compared to the other CMS systems. Fecundity and antibiosis indices on CMS lines were lower than on the B-lines. The A4M cytoplasm was found to be relatively resistant to sorghum shoot fly, and can be exploited for developing shoot fly-resistant hybrids for sustainable crop production in future.

Sorghum shoot fly, Atherigona soccata (Rondani) is an important pest of sorghum in Asia, Africa, and Mediterranean Europe, and host plant resistance is an important component for the management of this pest. The levels of resistance in the cultivated germplasm are low to moderate, and therefore, it is important to identify genotypes with different mechanisms of resistance to pyramid the resistance genes. We studied the antixenosis for oviposition, antibiosis, and tolerance components of resistance in a diverse array of shoot fly-resistant and -susceptible genotypes. The main plants and tillers of SFCR 151, ICSV 705, SFCR 125, and, IS 18551 experienced lower shoot fly deadhearts at 28 days after seedling emergence, produced more number of productive tillers. The insects fed on these genotypes also exhibited longer larval period (10.1–11.0 days compared to 9.3 days on Swarna), lower larval survival and adult emergence (54.7–67.8 and 46.7–52.2% compared to 73.3 and 60.6% on Swarna, respectively), and lower growth and adult emergence indices as compared to the susceptible check, Swarna. Physico-chemical traits such as leaf glossiness, trichome density, and plumule and leaf sheath pigmentation were found to be associated with resistance, and chlorophyll content, leaf surface wetness, seedling vigor, and waxy bloom with susceptibility to shoot fly and explained 88.5% of the total variation in deadhearts. Step-wise regression indicated that 90.4% of the total variation in deadhearts was due to leaf glossiness and trichome density. The direct and indirect effects, correlation coefficients, multiple and step-wise regression analysis suggested that deadhearts, plants with eggs, leaf glossiness, trichomes on the abaxial surface of the leaf, and leaf sheath pigmentation can be used as marker traits to select for resistance to shoot fly, A. soccata in sorghum.

Association Rule Mining (ARM) with reference to fuzzy logic is used to further data mining tasks for classification and clustering. Traditional Fuzzy ARM algorithms have failed to mine rules from high-dimensional data efficiently, since those are meant to deal with relatively much less number of attributes or dimensions. Fuzzy ARM with high-dimensional data is a challenging problem to be addressed. This paper uses a quick and economical Fuzzy ARM algorithm FAR-HD, which processes frequent item sets using a two-phased multiple-partition approach especially for large high-dimensional datasets. The proposed algorithm is an extension to the FAR-HD process in which it improves the accuracy in terms of associative soft category labels by building a framework for fuzzy associative classifier to leverage the functionality of fuzzy association rules. Fuzzy ARM represent latent and dominant patterns in the given dataset, such a classifier is anticipated to supply superb accuracy particularly in terms of fuzzy support.

Ensembles of process-based crop models are increasingly used to simulate crop growth for scenarios of temperature and/or precipitation changes corresponding to different projections of atmospheric CO2 concentrations. This approach generates large datasets with thousands of simulated crop yield data. Such datasets potentially provide new information but it is difficult to summarize them in a useful way due to their structural complexities. An associated issue is that it is not straightforward to compare crops and to interpolate the results to alternative climate scenarios not initially included in the simulation protocols. Here we demonstrate that statistical models based on random-coefficient regressions are able to emulate ensembles of process-based crop models. An important advantage of the proposed statistical models is that they can interpolate between temperature levels and between CO2 concentration levels, and can thus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without rerunning the original complex crop models. Our approach is illustrated with three yield datasets simulated by 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to these datasets, and are then used to analyze the variability of the yield response to [CO2] and temperature. Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effect of a temperature increase of +2 degrees C in the considered sites. Compared to wheat, required levels of [CO2] increase are much higher for maize, and intermediate for rice. For all crops, uncertainties in simulating climate change impacts increase more with temperature than with elevated [CO2]. (C) 2015 Elsevier B.V. All rights reserved.

The important enzyme in nitrogen (N) assimilation, nitrate reductase (NR), is an inducible enzyme influenced by many external (light, temperature, etc.) and internal (genotype) factors. The efficiency of the N assimilation system may vary with genotype and season. In the present study, the effects of season on NR activity in relation to N accumulation in maize plants were investigated. Six different cultivars of maize, namely Ganga-11, Deccan-103, Hi-starch (hybrids), Arun, Manjari and Vijay (composites), were sown during the monsoon (88-day crop duration) and in winter (150-day crop duration). In vivo NR activity in the last fully expanded leaf (LFEL), and the N contents of the whole plant and the LFEL were estimated at seven phenological growth stages. Three different states of N metabolism in maize, namely (i) low NR activity per unit leaf area per unit time coinciding with high accumulation of N, (ii) high NR activity coinciding with low N accumulation, and (iii) low NR activity coinciding with low N accumulation, were noted. These results clearly demonstrate that the relationships between N uptake and accumulation parameters change with the season and crop growth stage and are subject to a genotypic influence. Thus it is necessary to evaluate genotypes under similar environments to select a genotype with high N use efficiency. As these relationships are growth dependent, care must be taken to evaluate them at a particular phenological stage rather than on the basis of days after sowing.

Considering the proximity of the major vascular structures to the back of the knee, vascular complications of total knee arthroplasty are relatively rare. A patient who developed acute vascular insufficiency immediately following a total knee arthroplasty is reported. This stimulated a survey of arterial complications encountered by members of the British Association for the Surgery of the Knee. The majority of surgeons still use a tourniquet but will modify their practice if there is anxiety about vascular status. The mechanism of injury to the vascular system is either direct trauma or thrombosis. The outcome following treatment after direct injury is extremely good. The outcome after thrombosis is extremely poor. There is no recorded case of thrombosis occurring when a tourniquet was not used. Whether all knee arthroplasties should be done without a tourniquet is discussed. Early intervention is vital if a vascular injury is suspected.

In today's Information Technology (IT) industry, recruitment happens mostly through college campuses. There is a considerable mismatch between project requirements and available skill sets despite training the new associates. Another major challenge is application of knowledge with respect to technology in multiple contexts to effectively deliver quality. Hence, there is need to impart competency or `ability to do' to associates to improve their ability to build quality and be productive. This paper presents a model Samarth Way™ which enables the organization to induct associates into projects with reduced induction time. Authors have piloted this model in a leading IT Company.

A field experiment was conducted consecutively during the kharif season of 2014 and 2015 at the New Delhi, India to assess the effects temperature on early and late sown mungbean (Vigna radiata (L.) Wilczek) in rain-fed conditions across natural seasonal temperature gradient and elevated temperatures. Elevated temperatures where imposed on mungbean by use of a polyethylene sheds at specific growth stages. Average ambient temperature differences between normal and late sowing dates was 2–3°C. Elevated temperatures >44/34°C significantly affected PN at all stages. A departure from the normal seasonal temperatures by 8–10°C resulted in shortened phenological stages specifically vegetative phase leading to earlier maturity (50–57 DAS) compared to the control that reached maturity between 70–77 DAS under normal summer seasonal temperature. Increase in temperature negatively reduced number of pods per plant as well as the test weight of mungbean. Protein content in seeds was higher in stressed plants. Yield was sensitive to temperature with a 13.6% decrease in overall yield in 2015 from 2014 correspondingly to a 3°C temperature increase. The least yield was obtained from mungbean stressed at flowering stage in both seasons. Results are discussed in context of climate change and improved mungbean yield production in monsoon season.

Projections of climate change impacts on crop yields are inherently uncertain1. Uncertainty is often quantified when projecting future greenhouse gas emissions and their influence on climate2. However, multi-model uncertainty analysis of crop responses to climate change is rare because systematic and objective comparisons among process-based crop simulation models1, 3 are difficult4. Here we present the largest standardized model intercomparison for climate change impacts so far. We found that individual crop models are able to simulate measured wheat grain yields accurately under a range of environments, particularly if the input information is sufficient. However, simulated climate change impacts vary across models owing to differences in model structures and parameter values. A greater proportion of the uncertainty in climate change impact projections was due to variations among crop models than to variations among downscaled general circulation models. Uncertainties in simulated impacts increased with CO2 concentrations and associated warming. These impact uncertainties can be reduced by improving temperature and CO2 relationships in models and better quantified through use of multi-model ensembles. Less uncertainty in describing how climate change may affect agricultural productivity will aid adaptation strategy development andpolicymaking. Projections of climate change impacts on crop yields are inherently uncertain1. Uncertainty is often quantified when projecting future greenhouse gas emissions and their influence on climate2. However, multi-model uncertainty analysis of crop responses to climate change is rare because systematic and objective comparisons among process-based crop simulation models1, 3 are difficult4. Here we present the largest standardized model intercomparison for climate change impacts so far. We found that individual crop models are able to simulate measured wheat grain yields accurately under a range of environments, particularly if the input information is sufficient. However, simulated climate change impacts vary across models owing to differences in model structures and parameter values. A greater proportion of the uncertainty in climate change impact projections was due to variations among crop models than to variations among downscaled general circulation models. Uncertainties in simulated impacts increased with CO2 concentrations and associated warming. These impact uncertainties can be reduced by improving temperature and CO2 relationships in models and better quantified through use of multi-model ensembles. Less uncertainty in describing how climate change may affect agricultural productivity will aid adaptation strategy development and policymaking.

Experiments were conducted on coconut seedlings to delineate events of photo-oxidative stress damage. Studies on chlorophyll fluorescence indicated a clear case of excess light energy under high light conditions causing stress to coconut seedlings raised under coconut palms. Quantum yield of photo-chemistry of leaflets exposed to high light was significantly less than those under shade. Seedlings exposed to high light and then shifted to shade have shown significant improvement in quantum yield. Excess light energy harvested by chlorophyll antenna caused high non-photochemical quenching resulting in production of biologically toxic super oxide, hydrogen peroxide and hydroxyl radicals. It is apparent that photoinhibition of photosynthesis takes place due to i) PSII down regulation and ii) damage to PS II system in initial stages of exposure to excess light and under prolonged exposures inhibition is caused due to iii) chlorophyll bleaching and iv) damage to chloroplast and cell membrane integrity, followed by reduction in photosynthetically active leaf area because of scorching thus reducing canopy photosynthesis. Protein concentration in leaf tissue was higher in seedlings in high light conditions. Three distinct low molecular weight proteins with pI of 4.9, 8.4 and 10.15 having Mr less than 20,000 were found in seedlings exposed to high light intensities. Results clearly demonstrate the events that take place at early stage to subsequent cascading effects leading to the scorching and death of leaf and even seedling death under severe conditions.

Simulation modeling of perennial crops has immense potential for generating information for plantation managers. We report the development of the InfoCrop-coconut model and its application to coconut (Cocos nucifera L.) growing in diverse tropical and subtropical environments. The model is based on the generic crop model InfoCrop that simulates various annual crops in tropical and subtropical regions. The InfoCrop-coconut model was calibrated and validated with data compiled from published studies comprising many physiological, agronomical and nutritional experiments conducted between 1978 and 2005 in diverse geographic locations throughout India. The treatments included various water and nutrient regimes and varieties of coconut. Time to first flowering varied between 4 and 6 years, leaf production varied from 8 to 15 leaves year(-1) and nut yield ranged from 3000 to 27,000 nuts ha(-1) year(-1). The genetic coefficients used for calibration and validation were generated from field experiments conducted during 1995-2005. Model efficiency and validation performance were analyzed statistically. Simulated trends in phenological development, total dry mass and its partitioning, and nut yield agreed closely with observed values, although a 15% error was observed in a few cases. Considering that field measurements have an experimental error of 10-15% and wide variation existed within treatments, the model adequately simulated the effects of management practices and agro-climatic conditions over short periods. For a range of agro-climatic zones, simulated potential yields varied from 26 to 30 Mg ha(-1) year(-1) and potential annual dry mass production varied from 52 to 62 Mg ha(-1), depending on environment. We conclude that InfoCrop-coconut can be used to increase the efficiency of agronomic experiments designed to aid coconut crop management.

The melon fruit fly, Bactrocera cucurbitae (Coquillett) (Diptera: Tephritidae) is distributed widely in temperate, tropical, and sub-tropical regions of the world. It has been reported to damage 81 host plants and is a major pest of cucurbitaceous vegetables, particularly the bitter gourd (Momordica charantia), muskmelon (Cucumis melo), snap melon (C. melo var. momordica), and snake gourd (Trichosanthes anguina). The extent of losses vary between 30 to 100%, depending on the cucurbit species and the season. Its abundance increases when the temperatures fall below 32 degrees C, and the relative humidity ranges between 60 to 70%. It prefers to infest young, green, soft-skinned fruits. It inserts the eggs 2 to 4 mm deep in the fruit tissues, and the maggots feed inside the fruit. Pupation occurs in the soil at 0.5 to 15 cm below the soil surface. Keeping in view the importance of the pest and crop, melon fruit fly management could be done using local area management and wide area management. The melon fruit fly can successfully be managed over a local area by bagging fruits, field sanitation, protein baits, cue-lure traps, growing fruit fly-resistant genotypes, augmentation of biocontrol agents, and soft insecticides. The wide area management program involves the coordination of different characteristics of an insect eradication program (including local area options) over an entire area within a defensible perimeter, and subsequently protected against reinvasion by quarantine controls. Although, the sterile insect technique has been successfully used in wide area approaches, this approach needs to use more sophisticated and powerful technologies in eradication programs such as insect transgenesis and geographical information systems, which could be deployed over a wide area. Various other options for the management of fruit fly are also discussed in relation to their bio-efficacy and economics for effective management of this pest.

A third case of a posterior dislocation of the shoulder with ipsilateral humeral shaft fracture is described. It is recommended that this dificult management problem requires internal fixation of the humeral shaft fracture to allow control of the shoulder.

Of the 1306 male and 791 female Jat Sikhs of Patiala city and the surrounding villages between the age group 10-60 years, 50 males and one female were found to be having colour blindness, showing an incidence of 3.83% and 0.13% respectively. The study was done with the help if Ishihara Charts and Pickford Nicolson's anomaloscope. The type of colour blindness in males in its descending order of occurrence was simple deutranomaly 0.92%, extreme deutranomaly 0.77%, protanopia 0.69%, simple protanomaly 0.61%, deutranopia 0.61%, extreme potanomaly 0.15% and tritanopia 0.08%. The sole colour blind female was simple deutranomaly type. The incidence and type of colour blindness found in males are within the range of other Indian samples. Nevertheless the incidence is much lower than the values reported in other European populations.

Chronic kidney disease (CKD) is associated with a higher risk for stroke in studies from developed countries. This prospective study was conducted to study the clinical profile, management, and outcome of stroke in patients of chronic kidney disease who had been admitted in our institute during the period from December 2004 to December 2006. A higher incidence of stroke was found in men and in the fifth decade of life. Hypertension and diabetes were found in 88.8 and 48.1% of the patients respectively. CKD was detected for the first time during stroke evaluation in 55.5% of the patients. Stroke was due to cerebral infarction in 48.14% and due to cerebral hemorrhage in 40.7% of the patients. Surgical intervention was needed in 14.8% of all patients while stroke was managed medically in the rest. Over 70% of the patients were discharged after they showed improvement in the symptoms.

Adults of the rice stink bug, Oebalus pugnax (F.), preferred panicles of vasey grass, Paspalum urvillei Steud., over those of 11 species of other grasses and one species of sedge (Cyperus) associated with cultivated rice, Oryza sativa (L.). The number of feeding adults increased approximately 2 times from 1 h post-infestation (PI) to 6 h PI. The number of feeding females was greater than males at 1 h PI but no different at 6 h PI. Both sexes fed significantly (P < 0.05) more on O. sativa panicles than on P. urvillei panicles at 6 h PI. Both sexes also fed significantly (P < 0.05) more on 28 and 21 cm long O. sativa panicles than on 7 cm long panicles, but no such differences existed in feeding among P. urvillei panicles. RESUME Preferences alimentaires d'Oebalus pugnax sur graminees annuelles et cyperacees Les adultes d'Oebalus pugnax F. ont prefere les panicules de Paspalum urvillei Stend a celles de 11 autres Graminees et 1 Cyperacee associees au riz cultive, Oryza sativa L. Le nombre d'adultes s'alimentant a cru environ 2 fois de la lere (1P1) a la 6eme (6P1) heure ayant suivi l'infestation. Le nombre de femelles s'alimentant etait superieur a celui des mâles 1 heure apres (1P1), mais ne presentait pas de difference 6 h apres l'infestation (6P1). Les 2 sexes s'alimentaient significativement plus (P < 0,05) sur les panicules d'O. sativa que sur celles de P. urvillei 6 heures apres l'infestation (6P1). Les 2 sexes se sont alimentes significativement plus (P < 0,05) sur des panicules d'O. sativa de 28 et 21 cm que sur ceux de 7 cm, mais aucune difference n'etait observee dans l'alimentation sur les panicules de P. urvillei.

The suitability of rice, Oryza sativa (L.), sorghum, Sorghum bicolor (L.) Moench, and vasey grass, Paspalum urvillei Stuedel, as host plants of the rice stink bug, Oebalus pugnax (F.), were determined at 21, 24, 27, and 30°C. At 21, 24, and 27°C there were no significant ( P sorghum > vasey grass), but at 21 and 27°C weights of adults from rice and grain sorghum were similar. Nymphal survival was significantly ( P < 0.05) greater on rice and grain sorghum than on vasey grass at each temperature except 21°C, where there was no difference between insect survival on vasey grass and grain sorghum. At 21 and 27°C, development time (egg to adult) was significantly ( P < 0.05) shorter on grain sorghum than on rice or vasey grass, but at 24 and 30°C no differences in developmental time existed. The mean development time from egg to adult on rice, sorghum, and vasey grass at 30°C was 22.9 days, 20.7 days, and 22.3 days, respectively.

On necessity the cloud computing offers a flexibility in offering a function of resources. This proposal introduces to an new era for accessing information in the cloud computing with the help of mobile phone using the SMS (Short message Service). This would provide the facility to use of the system's cumulative resources, discarding the needs to specifically assign hardware to a task. The objective is to achieve connection between cloud and mobile with a null percent help of browsers. Until this moment accessing internet could be achieved only with the help browsers. In this paper, an alternative approach is proposed, in which on requisition by user he/she could receive global data with the help of SMS. The users could receive the requested information at a cost of just a single SMS. Another advantage in this method is that information could be obtained from anywhere even with the help of non browsers supporting mobiles.