Region Of Rajasthan Research Articles

Impact of pranayama on coordinative efficiency of cricketer’s from ABU region of Rajasthan

Impact of pranayama on coordinative efficiency of cricketer’s from ABU region of Rajasthan

Comparative evaluation of organic sources and fertilizer levels on performance of garlic (Allium sativum L.) in arid region of Rajasthan

Comparative evaluation of organic sources and fertilizer levels on performance of garlic (Allium sativum L.) in arid region of Rajasthan

A new record of Sternocera chrysis (Fabricius 1775), the jewel beetle from Rajasthan's semi-arid region and its cultural significance as a traditional ornament

Sternocera chrysis (Fabricius, 1775), also known as the jewel beetle, was recorded for the first time in the Central Aravalli foothills of semi-arid Rajasthan in India. Previously, the species was discovered in the arid region of Rajasthan and in Southern India based on data available in published research papers and on the Global Biodiversity Information Facility, a citizen science platform. This article also discusses the traditional use of beetle heads as ornaments by local people and nomadic.

Convolutional Fuzzy Machine Learning based Algorithms for Mapping Chickpea Agricultural Crop Fields using Temporal Satellite Data

In this research, we employed the convolutional classifiers, namely Fuzzy Local Information c-Means (FLICM) and Adaptive Fuzzy Local Information c-Means (ADFLICM), to classify and map chickpea agricultural fields in the Nagaur region of Rajasthan. This classification was performed using Planet Scope and Sentinel-2 data. To streamline the processing of temporal data and reduce spectral information, we experimented with the Normalized Difference Vegetation Index (NDVI) indices. To optimize the performance of the FLICM and ADFLICM algorithms, we utilized the Mean Membership Difference (MMD) technique to determine the most suitable fuzziness value. We also estimated the area of the ground-truthed chickpea fields to compare the performance of both methods. For the FLICM and ADFLICM algorithms with Planet Scope data, the estimated areas were 8914 m2 and 11278 m2, respectively. The ADFLICM algorithm was also applied to classify Sentinel-2 data, demonstrating its effectiveness with medium-resolution data, and the estimated area for Sentinel-2 data was 10633 m2. Finally, we calculated the Root Mean Square Error (RMSE) for the ADFLICM algorithm, which was found to be 0.075194, using Planet Scope satellite data as the reference dataset and Sentinel-2 satellite data as the classified dataset.

Development of electric load prediction techniques for rajasthan region and suggestive measures for optimum use of energy using multi-objective optimization

• Electric load forecasting has a major impact on the efficiency of the power network. • Using the MOO model, this research proposed a new electric load prediction technique. • The attributes of historical records were first summarized using an EMI technique. • The GRNN is then employed to forecast the electric load in the forecasting module. • To fine-tune the hyperparameters, a fuzzy based GEO strategy is used. The effectiveness of the power network system's activities and financial gains are significantly impacted by electric load forecasting. This domain offers a wide range of capacity prediction models to improve prediction performance; nonetheless, precise forecasting models are required. Therefore, this research proposed novel Electric Load Prediction Techniques for Rajasthan Region and Suggestive Measures for Optimal Energy using the Multi-Objective Optimization model. Specifically, data preparation, a subset of features component, a training prediction subsystem, and a management system that helps make up our integrative system. An enhanced mutual information technique was first used to summarize historical records qualities. Then, the Generalized Recursive Neural Network (GRNN) is used to predict the electric load values in the training and forecasting module. Furthermore, a Fuzzy based Golden eagle optimization approach is employed to fine-tune the mode's hyper parameters. Moreover, the proposed model's MAPE is lower when compared to the benchmark models. Our UMI-based model has a reduced MAPE error of 0.4920%, which enhances prediction performance by minimizing error. The research findings indicate that the constructed approach can be applied as a technique for electrical grid programming and has considerable advantages over most specific products.

"Feeding Habits of Birds in the Narmada Canal Region of Rajasthan"

"Feeding Habits of Birds in the Narmada Canal Region of Rajasthan"

A study to assess the etiology, risk factors, distribution, characteristics and outcome of multisystem inflammatory syndrome in children in Hadoti region of Rajasthan

Background: Aim and objectives of the study was to assess the etiology, risk factors, distribution, characteristics and outcome of multisystem inflammatory syndrome in children (MIS-C) in Hadoti region of Rajasthan.Methods: A cross-sectional study was conducted, based on notified suspected cases of MIS-C with COVID-19. The records were then classified according to the definition of a ‘confirmed case. Treatment was also recorded immunoglobulin, antibiotics, corticoid, anticoagulant and oxygen supplementation. The outcome of the subjects was also recorded.Results: Majority of the subjects belonged to 1-6 years (56.6%) with 62.3% males and 37.7% females. Fever, rashes, cough, vomiting, abdominal pain, throat pain, hematuria and decreased appetite was present among 100.0%, 47.2%, 37.7%, 39.6%, 22.6%, 15.1%, 13.2% and 3.8% respectively. C-reactive protein, D-dimer, erythrocyte sedimentation rate (ESR), ferritin and lactate dehydrogenase (LDH) were present among 94.3%, 92.5%, 88.7%, 75.5% and 60.4% respectively. Discharge against medical advice (DAMA) was done for 5.7%, death among 7.5%, discharge among 84.9% and 1.9% were referred to higher centre.Conclusions: The risk of mortality was greater in MIS-C patients in LMICs despite reduced rates of ICU hospitalisation and use of mechanical ventilation. For the causation, ideal preventative and treatment strategies, and long-term results of the MIS-C patients, further proof is required.

Investment Avenues and the Factors behind Preferences of Investors in Shekhawati Region of Rajasthan

An individual can either consume his income or save it. Whatever he saves if invested systematically and carefully, can grow and it can even give him better rate of return than the rate of inflation. There are many investment alternatives because of which the investors may get confused about where the funds should be invested in. This paper attempts to study the features of different investment avenues and the factors that affect the preferences of investors while investing their funds. In order to achieve the objectives, survey method has been used and 160 respondents of different age groups and education background have been contacted to fill in the questionnaire. The study throws light on the factors based on which the investors make their choice while investing their funds.

Water quality assessment of Banas River, eastern-south region of Rajasthan, using water quality index

The water quality index (WQI) is a numerical representation of total water quality that qualifies it for usage in residential, irrigation, industry, and other applications. The present investigation involves the statistical validation and then determining the WQI of the Banas River, which is located in Rajasthan’s eastern south region and is an important source of water supply via the Bisalpur Dam. The main objective of this study is to assess the data provided by CPCB in this way we analyzed the various physicochemical characteristics like pH, electrical conductivity, Total Dissolved Solids (TDS), Dissolve Oxygen (DO), Fluoride, Sulphate, and Total Hardness in pre-monsoon, monsoon, and post-monsoon data for the year 2018–2021, then calculate the WQI of those data. The result of Pre-monsoon WQI was 64.84, indicating an Indian water quality index grading C, whereas post-monsoon WQI was 57.10, which was closer to an Indian water quality index grading B. During the monsoon, the WQI was 61.52. It can be inferred from the abovementioned finding that the water quality improves after the monsoon.

Application of analytical hierarchical process, multi-influencing factor, and geospatial techniques for groundwater potential zonation in a semi-arid region of western India

Groundwater resources are alarmingly depleting due to over-exploitation and significant climate changes over time. Therefore, demarcation of groundwater potential zones is essential for addressing the needs of various industries in semi-arid area. Depleting groundwater resources, topography, aquifer features and climatic factors make it necessary to demarcate ground water potential zones in semiarid region of Rajasthan. The Analytical Hierarchy Process (AHP), Geographic Information System (GIS), and Multi Influence Factor (MIF) were used to determine the groundwater potential zones (GWPZs) in the semi-arid region of Jaipur, located in western Rajasthan. In present study, ten influential factors were employed i.e., geomorphology, land use/land cover (LULC), drainage density, rainfall, topographic wetness index (TWI), soil texture, slope, roughness, topographic position index (TPI) and curvature. In AHP technique, the pairwise comparison matrix was generated, and weightages were given to each thematic layer while for MIF, a proposed score for each layer was computed from the aggregate weight of major and minor effects. The GWPZ map generated by AHP technique was categorised into three parts: high, moderate and poor potential zones, covering 13%, 50.7% and 36.3% of the district. While, the GWPZ map produced with the MIF technique was also divided into the same poor, moderate, and high categories, encompassing 35.3, 44.1, and 20.6% of the district, respectively. The results of AHP and MIF techniques were then cross-validated with well depth data obtained from CGWB report, 2019–20. The receiver operating characteristics (ROC) were plotted and the findings shows that the Area under the Curve (AUC) was 79% and 76% for AHP and MIF, respectively which is considered as moderate to high in predictive precision. The study would be helpful in locating drilling sites for groundwater exploration and developing sustainable groundwater and land use policies.

Unraveling The Genetics Of Rice (Oryza Sativa L.) Yield And Its Component Traits

In the Hadoti region of Rajasthan, rice (Oryza sativa L.) crosses were grown in a Randomized Block Design for the purpose of estimating correlation and path coefficient in an experimental study. An examination of variance data demonstrated that there were noteworthy distinctions among all genotypes with respect to the traits that were studied. The correlation or association studies disclosed that the relation of grain yield per plant was positively and significantly at phenotypic and genetic level with characters viz. number of effective tillers per plant, panicle length, number of spikelets per panicle, test weight and kernel length. The highest positive direct impression/ effect on grain yield was recorded for number of spikelets per panicle, panicle length, kernel length and number of effective tillers per plant.

Genetic diversity evaluation of Sojat goat population of India

Sojat goat forms the part and parcel of the lives of the farmers in the Barmer region of Rajasthan. These are large-sized goats, white in colour, and have dual utility. These goats fetch premium price during the Eid festival. Assessment of diversity is essential for germplasm characterization and management. Genomic microsatellite markers being a valuable tool for estimating genetic diversity were selected for exploring existing genetic variability in the Sojat goat population. The standard metrics of genomic diversity detected moderate variability with a total of 162 alleles across 22 loci in this lesser-known population. The expected number of alleles had a mean value of 3.40±0.39. Similarly, a moderate magnitude of diversity was recorded in the Sojat population as the mean observed heterozygosity was 0.54±0.05. Expected heterozygosity was higher than the observed (0.60±0.06), indicating a deviation from Hardy-Weinberg Equilibrium (HWE) and the possibility of inbreeding due to the non-random mating in the population. Accordingly, significant heterozygote deficiency was noticed (F=0.08±0.03). The population did not suffer a reduction in effective population size in the last few generations. Mutation drift equilibrium did not reveal significant heterozygosity excess under different models of microsatellite evolution and no shift was recorded in the frequency distribution of alleles. To conclude, the results provided the first insights into the genetic diversity of Sojat goats. A moderate genetic variability with heterozygote deficiency within the population warrants immediate attention for scientific management of this unique goat population to conserve the existing genetic variation and to avoid any escalation of inbreeding.

Acculturation and Local Dominance: A Study in the Context of Rabaris of Gujarat

A person or group can become more or less accustomed to particular beliefs and practises of a culture that is not their own through the process of cultural contact and exchange known as acculturation. When one group moves from one place to another, this process becomes functional. In such a circumstance, it is inevitable that immigrant groups will progressively acquire cultural aspects of the host culture while retaining parts of their own. This illustrates the extent of their integration into a new community and the preservation of their distinct culture. Acculturation has been a social phenomenon for several migrant populations in India. The Rabaris were originally a nomadic tribe prominently inhabiting the regions of Gujarat, Rajasthan, and Punjab in India. They were engaged in camel and cattle herding. The origin of Rabaris is often traced from Iran via Afghanistan and Baluchistan. It is believed that they migrated to India in the 4th century. The belief of Rabaris about their origin takes a mythological turn and reflects the actual impact of adaptation of cultural traits of Hinduism, which is inherent in their belief and overall culture. The Rabaris of Gavviyar Village in Surat are a small settled group engaged in pastoral pursuits. This paper attempts to highlight the extent of acculturation among Rabaris and the impact of the local dominance on their lives.

Deciphering Depositional Environment of Playa Lakes Using Grain Size Parameters in the Arid and Semi-Arid Region of Rajasthan, India

This study encompasses the grain size distribution of the playa lakes (Pachpadra, Pokhran, and Didwana) of the Thar Desert in Rajasthan, India. The grain size of sediment particles is the most fundamental feature, giving essential information regarding their origin, transport history, and depositional conditions. The aeolian and fluvial transport processes were evaluated through environmentally sensitive grain size subpopulations to identify the differential sedimentary sources and dynamics in the playas. End-member modelling further determined the sediment grain size distribution through statistical analysis. The playa sediments mainly consist of very fine sand (46–54%) and very coarse silt (22–37%). The results show that the average fine fraction of Pachpadra, Pokhran, and Didwana playa was 46.29%, 66.11%, and 66.28%, respectively. In contrast, the average coarser fraction deposition in Pachpadra, Pokhran, and Didwana corresponds to 53.71%, 33.89%, and 33.72%, respectively. This suggests that the playas mostly contain aeolian sediment rather than fluvial sediment transported by dust/sand storms. Additionally, the textural pattern and depositional distribution of the sediments determined through the Passega CM diagram and bivariate plots indicate that 82% of the samples were poorly sorted, and 18% were very poorly sorted. Furthermore, an environmentally sensitive grain size component (ESGSC) was also assessed to identify the spatial variability and transport processes of sediment between these playas. Three ESGSCs in Pokhran (250 µ, 31 µ, and 2 µ) and Pachpadra (125 µ, 31 µ, and 4 µ), while two ESGSCs in Didwana playa (125 µ and 16 µ) were identified, indicating sediment deposition with moderate velocity in a low energy environment with a mixed sediment population transported by aeolian and fluvial activities.

Diversity and distribution of avian fauna in the Narmada Canal region of Rajasthan

Diversity and distribution of avian fauna in the Narmada Canal region of Rajasthan

Seasonal and lactational variations in fatty acid profile of milk in indigenous cattle

The present study was conducted on quality and bioactive components in milk of Kankrej and Sahiwal indigenous cattle breeds at Livestock Research Station, Kodemdesar and College of Veterinary and Animal Science, Bikaner situated in hot-arid region of Rajasthan. Representative milk samples were collected and brought to the laboratory. The variance analysis observed significant effect of season on SFA of Kankrej and Sahiwal, and revealed that the total MUFA in Kankrej differ significantly. Significant effect of season on PUFA in Sahiwal and Kankrej cattle was also observed. Significant effect of season on Omega fatty acids in Sahiwal and Kankrej cattle except Omega-9 fatty acid in Sahiwal cattle was seen. The analysis of variance found highly significant effect of season on SCFA whereas non-significant effect on LCFA in Kankrej and Sahiwal cattle. Effect of season on MCFA was found significant in Sahiwal whereas non-significant effect was found in Kankrej cattle. The analysis of variance observed significant effect of various lactation stage on MUFA, Omega-9 and MCFA fatty acids for Kankrej and Sahiwal cattle and on SCFA in Sahiwal, and non-significant effect in Kankrej whereas significant effect on LCFA in Kankrej and nonsignificant effect in Sahiwal cattle.

Effect of Hyperthermia on Photosynthetic Pigments of Some Selected Fern Taxa of Sitamata Wild Life Sanctuary, Rajasthan

Rajasthan, the state is situated in the north western part of India and covers as area of 3, 42, 274 sq.km. Despite the hostile climatic conditions of the state, pteridophytes which otherwise known as shade and moisture loving plants. Sitamata wild life sanctuary is located at southwest region of Rajasthan. Different species of pteridophytes in this region exhibit significant variation in thermal stability of their photosynthetic pigments of some pteridophytic flora of Sitamata wild life sanctuary, Rajasthan. Studies reveal that total chlorophyll contents are maximum in Ceratopteris thallictroides and Selaginella repanda and minimum in Ampelopteris prolifera. The other species range between these two. Total carotenoid contents were found maximum in Cheilanthes bicolor and minimum in Selaginella repanda. These observations suggest that species with greater resistance to drought possess higher quantity of carotenoids and show lesser degradation in their chlorophyll pigments during stress conditions. Thus, Ampelopteris prolifera, Cheilanthes bicolor and Christella dentata are most resistant to heat and drought conditions while A. capillus-veneris, Ceratopteris thallictroides and Selaginella repanda are the least resistant taxa to heat and drought conditions.

Study of CNN deep learning model for temporal remote sensing data processing to map rabi crops

Convolution Neural Network (CNN) is a deep learning approach that has become an area of interest to the researchers for solving complex problems. With the evaluation of CNN, extraction of deep features for accurate classification of remotely sensed images has gained lot of momentum. This research work uses CNN deep learning model for mapping rabi crops (mustard and wheat) using temporal remote sensing data. The mappings of mustard and wheat crops have been conducted using multispectral temporal images obtained from Sentinel 2A/2B between the dates 1st Nov 2019 and 24th Feb 2020 of Banasthali, Rajasthan region. The CNN model created in this research work uses several layers along with 5 activation functions (relu, sigmoid, tanh, elu and selu) for finding out which activation function gave the best result for the proposed study. Batch size has been examined from 1 to 50 in the multiple of 5 and epochs have been tested from 1 to 10 for a training data of 200 samples for each class. The optimal value with a batch size of 5 and epochs of 30 has been calculated as best suited in this study as the accuracy was getting constant. The implementation of CNN model for classification shows better results as compared to the traditional approach as the CNN algorithms are learning algorithms. This also helps in handling the heterogeneity within a class. A comparison has been conducted using Modified Possibilistic c-Means (MPCM) fuzzy algorithm for the classification of the same set of classes. F-Score, Kappa and Overall Accuracy have been calculated to show how the proposed approach has been outperformed and the level of classification accuracy achieved.

Degradation of Moral Values in Young Generation: A Study of Shekhawati Region of Rajasthan

Our behaviour and character reflect morality by which we live. A righteous person is one who has developed moral values and lives through them. Moral values are the basis on which we make decision about right or wrong, good or evil. Moral values are developed in childhood by our parents and teachers, and remain with us through life. But now a days degradation in moral values has been observed. In this study survey method has been used and 48 respondents have been contacted to fill in the questionnaire. The study attempts to find out the causes of degradation of moral values and its consequences in our society. The study also attempts to find the remedial actions to upgrade the moral values in young generation.

Ethnomedicinal Plants of Malwa Region of Madhya Pradesh and Rajasthan

An attempt has been made to prepare a detailed account of ethnomedicinal plants of Malwa region of Madhya Pradesh and Rajasthan. The paper deals with the 172 species of probable ethnomedicinal potential, belonging to 150 genera and 74 families from Malwa region of Madhya Pradesh and Rajasthan. These taxa are used for curing various ailments among the different ethnic societies. For each species the information regarding botanical names, family, local names, parts used and ethnomedicinal uses have been provided. The information has been gathered by field survey and from available literature.