Districts Of Rajasthan Research Articles

Understanding the behavioural intention of students for education via OTT platforms driven by social media advertisements

PurposeThe paper aims to examine students' feelings about studying through over-the-top (OTT) education and how they are influenced by social media advertisements (SMA) while browsing the Internet. The study looked into the factors influencing students' behavioural intention (BI) for OTT education, which helps meet their individual needs beyond the limits of traditional platforms.Design/methodology/approachData were collected through an online survey using a structured questionnaire from 345 students in the present study from various districts of Rajasthan in India. The collected data were analysed using the partial least square–structural equation modelling to substantiate the hypotheses and make inferences.FindingsThe study provided an inclusive model by probing the effect of four SMA features [Informativeness (INFO), Entertainment (ENT), Trust (TRU) and Reward (RWD)] on Brand Engagement (BE). It emphasises casing gaps in the literature regarding the consequence of BE on BI in the OTT market. The results highlighted a significant relationship between BE on BI. At the same time, all relationships proved significant for SMA, apart from TRU. The pioneering research jointly studies these factors in the model, predominantly in the streaming platforms, with empirical data.Originality/valueTo the best of the authors’ understanding, previous research lacks in focusing ENT, INFO, TRU and RWD’s relation to BE and identifying its effect on OTT education in the Indian context. Using the present study, marketers in the competitive world can better facilitate the adoption of OTT platforms, the factors impacting brand engagement for students and their views on the topic.

Sustainable Development of Agro-Based Industries and Agricultural Practices: An Analytical Study of Rajasthan

Background: Agriculture plays a pivotal role in Rajasthan's economy, supporting a significant portion of the population. However, the sector faces numerous challenges, including water scarcity, soil degradation, and climate change impacts. This study investigates the sustainable development of agro-based industries and agricultural practices in Rajasthan, analyzing current practices, challenges, and potential solutions. Materials and Methods: The research employed a mixed-methods approach, combining qualitative interviews and focus group discussions with a quantitative survey of 500 participants across various districts of Rajasthan. Data were collected on agricultural practices, challenges faced by farmers, and perspectives on sustainable development. Statistical analysis was performed using SPSS, while qualitative data were analyzed through thematic analysis. Results: The study revealed a blend of traditional (68% using rainwater harvesting) and modern (42% adopting precision farming) agricultural practices. Water scarcity emerged as the most critical challenge, reported by 85% of farmers. Sustainable strategies showed promising results, with organic farming increasing income by 20% and water-efficient irrigation reducing water usage by 40%. Agro-based industries, particularly food processing and textiles, contributed significantly to the state's economy. Conclusion: The findings underscore the need for integrated approaches to address water scarcity, promote sustainable farming practices, strengthen agro-based industries, and enhance farmers' access to markets and credit facilities. Policy recommendations include prioritizing water management, climate change adaptation, and farmer education to ensure a sustainable and resilient agricultural future for Rajasthan

Role Of Government Policies In Shaping Vegetable Marketing Practices: Evidence FromRajasthan

This study examines the impact of government policies on vegetable marketing practices in the Indian state of Rajasthan. Using primary data collected from surveys of 500 farmers, 100 wholesalers, and 50 retailers across five districts of Rajasthan, as well as secondary data fromgovernment reports and academic literature, the paper analyzes how various national and state-level agricultural policies have influenced the structure and functioning of vegetable value chains in the region. Key policies considered include the Agricultural Produce Market Committee (APMC) Act, contract farming laws, minimum support prices (MSP), and agricultural subsidies. The results show that the APMC Act has led to the development of a network of regulated wholesale markets which serve as the main marketing channel for vegetables, but its provisions restricting sales outside these markets have hindered direct linkages between producers and buyers. Recent reforms aimed at allowing private markets and removing barriers to interstate trade have had limited impact so far. Contract farming remains underdeveloped due to regulatory uncertainty and lack of trust between stakeholders. MSP haslittle relevance for most vegetable crops given their perishability and lack of public procurement. Input subsidies, while increasing yields, have exacerbated problems of overuse of chemicals and declining water tables. The paper argues for a more holistic, nutrition-sensitive approach to agricultural policy that goes beyond a narrow focus on boosting production and marketable surplus. Specific recommendations include investments in storage and cold-chain infrastructure, expansion of crop insurance coverage, promotion of Farmer Producer Organizations and shorter supply chains, and greater emphasis on sustainable production practices and nutrition education. Enhancing smallholder access to credit, information, and input-output markets remains critical

The Status of Access to Medicines and Enrollment in Welfare Schemes by Rural Elderly People of Southerner Rajasthan

Abstract Introduction: Multiple layers of vulnerability pose challenges for rural elderly to access health. Enrollment in government schemes is also limited by this section of society. This study focused on access to medicines and status welfare schemes for rural elderly. Subjects and Methods: It was a cross-sectional survey done in 84 villages in six districts of Rajasthan with 1266 elderly participants. The data were captured through a pretested questionnaire which was filled by trained data collectors. Results: The knowledge, as well as the actual enrollment of the elderly in various health care and welfare schemes, was very poor. Gender and caste analysis showed that women and lower castes were at the worst end in the enrollment and availing entitlements. Knowledge of health schemes was also less among them. The monthly average expenditure for participants on regular medication was Rs. 1570.35 and the time to procure the same was 6.10 h. Discussion: The elderly are vulnerable to the worst health outcomes and gender and cast categories add to it. Access to medicines is an essential component of health accessibility. However, it is largely neglected. Money and time in accessing required medicines seem to be too high to afford for these elderly people. Limited availability of public health facilities, poverty in old age, and the absence of private pharmacies in villages have contributed to the problem significantly. Welfare schemes have the potential to address these issues; however, enrollment and actual reach of benefits still need to be improved in rural areas.

ASSESS THE KNOWLEDGE LEVEL AND RELATIONSHIP BETWEEN PROFILE OF FARMER ABOUT POLYHOUSE VEGETABLE CULTIVATION PRACTICES

Polyhouse technology offers an excellent opportunity to grow high value crops during off-season with maximum input use efficiency. However, the successful implementation of polyhouse farming requires adequate knowledge about the specific cultivation practices involved. Therefore, the purpose of this study is to evaluate the farmer knowledge about polyhouse vegetable cultivation practices in Southern Rajasthan and also ascertain the relationship between knowledge of farmers with their personal characteristic. The study was carried out in two districts of Rajasthan namely Bhilwara and Chittorgarh. Data was collected through surveys and interviews conducted with farmers in the region. The analysis of the data was done with the help of different statistical tools like frequency distribution, percentage, mean, standard deviation, mean percent score and correlation coefficient. The study clearly shows that majority of respondents (63.00%) were having medium level of knowledge about polyhouse vegetable cultivation practices in study area. They had highest knowledge about the aspect of components of polyhouse and least about nematode infestation in polyhouse and its control methods. There was a significant correlation found between annual income, education level and land holding with knowledge of respondents about polyhouse vegetable cultivation practices.

Harnessing the power of hybrid deep learning algorithm for the estimation of global horizontal irradiance

Accurately and precisely estimating global horizontal irradiance (GHI) poses significant challenges due to the unpredictable nature of climate parameters and geographical limitations. To address this challenge, this study proposes a forecasting framework using an integrated model of the convolutional neural network (CNN), long short-term memory (LSTM), and gated recurrent unit (GRU). The proposed model uses a dataset of four different districts in Rajasthan, each with unique solar irradiance patterns. Firstly, the data was preprocessed and then trained with the optimized parameters of the standalone and hybrid models and compared. It can be observed that the proposed hybrid model (CNN-LSTM-GRU) consistently outperformed all other models regarding Mean absolute error (MAE) and Root mean squared error (RMSE). The experimental results demonstrate that the proposed method forecasts accurate GHI with a RMSE of 0.00731, 0.00730, 0.00775, 0.00810 and MAE of 0.00516, 0.00524, 0.00552, 0.00592 for Barmer, Jaisalmer, Jodhpur and Bikaner respectively. This indicates that the model is better at minimizing prediction errors and providing more accurate GHI estimates. Additionally, the proposed model achieved a higher coefficient of determination (R (Ghimire et al., 2019)), suggesting that it best fits the dataset. A higher R2 value signifies that the proposed model could explain a significant portion of the variance in the GHI dataset, further emphasizing its predictive capabilities. In conclusion, this work demonstrates the effectiveness of the hybrid algorithm in improving adaptability and enhancing prediction accuracy for GHI estimation.

Survey and Characterization of Ground Water Quality and its Effect on Soil Properties in Malpura Block of Tonk District Rajasthan, India

In Malpura block of Tonk district, a survey was conducted to evaluate the quality of the groundwater and determine how it affected the soil qualities. Using a handheld GPS, 60 groundwater samples and 60 soil samples overall were taken at six sites include Lawa(V1), Borkhandi(V2), Kadila(V3), Jankipura(V4), Diggi(V5) and Nukkad(V6) in the Malpura block of the Tonk district. The pH, EC, SAR and RSC of ground water ranged from 6.95-8.40, 2.18-3.15(dsm-1), 2.73-10.45 (m mol/L), 1.64-22.3 (meq/L), respectively. The anion contents followed the pattern Cl>SO42> HCO3>NO3>CO32 whereas the cations were found to be in the following order: Na+> Mg2+> Ca2+> K+. The village of Lawa had the lowest saturation rate (22.84%) and Diggi had the highest saturation percentage (38.34%). The correlation coefficient revealed that electrical conductivity (EC) of soil saturation extract was significantly and positively correlated with EC (0.625), Cl- (0.200) and Na+ (0.242) of Groundwater used for irrigation.

Safety and Efficacy of the Ayurvedic Formulation Guduchi Ghana Vati as a Preventive Remedy in COVID-19.

Background and objectives Guduchi (Tinospora cordifolia) is a well-known Ayurvedic herb used as a preventive and curative remedy for various infections and immunity-related conditions. This study aimed to evaluate Guduchi Ghana Vati as a preventive remedy for COVID-19 and non-COVID-19 infections in a healthy population. Materials and methods An open-labeled, multi-centric, randomized, comparative, interventional, prospective community-based clinical study was conducted on healthy individuals at the community level in five different districts of Rajasthan by the National Institute of Ayurveda (NIA), Jaipur, India. Participants were divided into two groups. One group received Guduchi Ghana Vati as an intervention for 45 days, and the control group did not receive any intervention. Incidences of COVID-19 infection, non-COVID-19 infections, their severity, and hospitalization requirements were assessed. Safety was evaluated through monitoring of adverse reactions. Results Among the 10,022 participants who completed the study, the incidence of COVID-19 infection was found to be lower in those taking Guduchi Ghana Vati compared to the control group; however, the difference was statistically non-significant. The severity of COVID-19 based on the WHO ordinal scale was found to be significantly lower in the Guduchi Ghana Vati group compared to the control group. The number of episodes and severity of non-COVID-19 illness were also significantly lower in participants taking Guduchi Ghana Vati compared to the control group. No major adverse drug reactions were observed. Conclusion Guduchi Ghana Vati has the potential to act as a safe and effective remedy for the prevention of infection and immunity-related conditions, including COVID-19.

Outcomes of Mahatma Gandhi National Rural Employment Guarantee act project in the Jhalawar district Rajasthan

Outcomes of Mahatma Gandhi National Rural Employment Guarantee act project in the Jhalawar district Rajasthan

Nature and Extent of Crop Diversification in Rajasthan: District-wise Analysis

"The present study was conducted to measure the nature and extent of crop diversification in different districts of Rajasthan and based on 39 years time series data and collected from various published sources, whole set of data were divided in two periods (pre WTO 1980-1995 and post WTO 1996-2014) and separate analysis was done to compare the extent of crop diversification in both the periods. Herfindhal index was used to measure diversification. Results found that both Jaisalmer and Barmer district moved from crop specialization to moderate diversification from first to second period. Jodhpur, Rajsamand, Udaipur, Jhunjhunu, Sikar, Jalore and Churu districts have obtained the values between 0.35 and 0.47 for first period which indicated moderate diversification in cropping pattern during first period whereas Jodhpur, Sikar, Jalore has obtained value of herfindhal index been range “between” 0.28 to 0.31 which indicated complete diversification in second period and Rajsamand, Udaipur and Churu districts indicated moderate crop diversification in the first and second period of the study. Herfindhal index value for remaining districts of the state were found between 0.08 to 0.33 which indicated complete diversification in cropping pattern of the districts in the first and second period of the study except Dungarpur district and it has been shifted from complete diversification to moderate diversification from first period to second period. Results also indicated that newly added district Karauli showed complete diversification in second period. During the first and second period highest value of herfindhal index was found in Jaisalmer (0.89) and Barmer (0.54) respectively. While lowest value of index was observed in Bundi district during both periods."

Evaluation of Spatio-temporal dynamics in agriculture in arid and semiarid region of Rajasthan, India-A statistical approach

The aridity of the arid and semiarid region of Rajasthan, India is considered as a great challenge for the growth of the crops due to lack of precipitation and high range of temperature. The present study focused on evaluating agricultural dynamics of the arid and semi-arid region of Rajasthan for the period of 2008-09 and 2021-22. The study comprised seven districts of Rajasthan: Barmer, Bikaner, Churu, Ganganagar, Hanumangarh, Jaisalmer and Jodhpur. Indices like crop combinations, crop diversity and agricultural efficiency of crops were taken into consideration. Hanumangarh showed 8 crop combinations to 4 from past to recent years viz. Bajra (Pennisetum glaucum), Guar seed (Cyamopsis tetragonoloba), Kharif pulses (Without Arhar) and Moth (Vigna aconitifolia), while in Jaisalmer, it was 3 crop combinations in the past while it is 6 in the recent years viz. Bajra, Guar seed , Moth , Mustard (Brassica), Mung (Vigna radiata) and Groundnut(Arachis hypogaea). A small percentage of Seasamum (Sesamum indicum) and Cotton (LINT)(Gossypium) was in the past previous years, but now, it is almost negligible. Wheat (Triticum) was observed in a lower to moderate percentage share throughout the period. There was no change in the dominant crops except in Ganganagar and Churu district. All the districts had higher crop diversification in recent years except Barmer. The result of agricultural efficiency showed that Ganganagar, Jodhpur, Hanumangarh had higher agricultural efficiency (> 100), while Barmer had the least value (< 50). Agricultural Indices efficiently visualized temporal agriculture trends in arid and semiarid regions of Rajasthan.

Long term estimation of global horizontal irradiance using machine learning algorithms

The integration of solar power into the smart grid has become quite ubiquitous among scientists and researchers to obviate the need of fossil fuels in the wake of environmental and ecological conservation. Therefore, exact and precisive prediction of global horizontal irradiance (GHI) is indispensable for quantifying the production of solar power in future. The main aim of the present study is to develop the time series forecasting models for next five years by using the past data from the period 2017–2019 of four districts of Rajasthan i.e., Bikaner (D1), Jodhpur (D2), Jaisalmer (D3) and Barmer (D4). This paper compares the efficacy of novel time series estimation models such as auto-seasonal autoregressive integrated moving average (auto-SARIMA), Facebook Prophet (FBP) and Neural Prophet (NP) for predicting the future values of GHI. In order to obtain the best fit between the test data and its prediction outcome, optimized parameters of auto-SARIMA models are selected. The performances of the models are assessed using different error metrics such as root mean squared error (RMSE) and mean absolute error (MAE). The RMSE values calculated for districts D1, D2, D3 and D4 by auto-SARIMA model are 18.69, 21.62, 14.473 and 10.70 W/m2 and their MAE values are 15.00, 19.31, 12.99 and 9.222 W/m2 respectively. Conclusively, it is observed that auto-SARIMA model outperforms the other models as far as reduction in RMSE and MAE values are concerned.

Association of Pseudomonas syringae pv. apii with the Seed of Ajwain (Trachyspermum ammi L.)

Present study aimed to isolate, identify and characterize the bacterial pathogens associated with ajwain seeds using biochemical and molecular methods. One hundred thirty-nine seed samples of ajwain were collected from various districts of Rajasthan. Twenty-four bacterial isolates were isolated and purified from collected seed samples. All strains were characterised for their biochemical activity. All isolates were tested for genetic diversity by using amplified rDNA restriction analysis (ARDRA). Selective strains were subjected for 16S rDNA sequencing and molecular phylogeny study. Most strains were positive for levan production, tobacco hypersensitivity, gelatine liquefaction and aesculin hydrolysis but showed negative reactions for activities of oxidase, tartrate utilisation, potato soft rot, tyrosinase and arginine dihydrolase. These isolates were distinguished into three groups based on the ARDRA pattern. Selected isolates (KANRJ 1507, KANRJ 1562 and KANRJ 1637) were subjected for 16S rRNA gene sequencing. In phylogenetic analysis all three isolates showed 99.85% similarities to each other. In addition, KANRJ 1507 showed 99.93% sequence similarity to P. syringae pv. apii strain BS426 while KANRJ 1562 and KANRJ 1637 showed 99.85% sequence similarity with P. syringae pv. apii strain BS426 isolated from Petroselinum crispum in California, USA. It was also observed that KANRJ 1507 and other two strains (KANRJ 1562 and 1637) showed 99.61% and 99.54% sequence similarities respectively with P. syringae pv. maculicola isolated from radish in the USA.

Mungbean in Rajasthan: Growth performance and decomposition analysis

The present study was conducted to examine the growth performance and relative contribution of area and yield to the change in mungbean production in Rajasthan. Three districts, viz., Nagaur, Jodhpur, and Pali, which together contribute more than 50% of the total area under mungbean in Rajasthan, were selected for the study. Time series data were collected from 2000 01 to 2019-20 and to study the decadal performance, the entire period was bifurcated into two sub-periods: 2000-01 to 2009-10 (sub-period I) and 2010 11 to 2019-20 (sub-period II). The Compound Annual Growth Rate (CAGR), Cuddy Della Valle Index (CDVI), and Decomposition Analysis Model were employed for analysis. Results revealed that the growth rate was positive for area, production, and productivity of mungbean at the state and district levels. The instability index was found to be greater than 30 in most of the cases, which indicates the high variations in area, production, and productivity of mungbean during the reported period. The sub-period II witnessed a comparatively higher positive growth rate accompanied by a lower instability index than the sub-period I. The study further revealed that the area effect was greater than the yield effect in most of the cases, which indicates its greater share in the increase in mungbean production at state and sampled district levels. With the observed positive growth rate in area and its contribution to change in production, the state has scope to increase the area coverage under mungbean, as 55% of the districts in Rajasthan have less than 1% of the total area under cultivation.

Geology of the Copper Mineralization in Proterozoic Ajabgarh Meta-Sediments of, Dokan-Dariba Belt, Sikar District Rajasthan Northwestern India

The Khetri copper belt is a well-known metallotect in northern part of Delhi fold belt in Rajasthan. On the eastern margin of the Khetri sub basin of North Delhi basin separated by a basement high, another sub basin Alwar-Ajabgarh sub basin exposes that a thick sequence of Ajabgarh group of rocks overlies a thick arenaceous sequence of Alwar group of Delhi Super Group of rocks. The Ajabgarh meta sediments here in the Neem Ka thana area are characterized by presence of Bornite dominated copper mineralization with silver association and minor presence of Pb. The mineralization has been described by various workers as strata-bound, hypogene and IOCG. But these inferences are based on part information and the inference drawn is sectorial in nature. The current study includes a holistic study based on exploration over a period of more than two decades and the data generated suggest thereof, that this syngenetic sulphide mineralization associated with the sedimentation of marl and carbonate rocks. Subsequently it has been relocated during 2nd deformation accompanied by epigenetic component of mineralization depicted in terms of vein filled coarse grained aggregates of bornite and chalcopyrite disposed across the general disposition of litho-package. The EPMA and fluid inclusion data generated from the area indicate association of typical hydrothermal environment minerals like, Perkrite, Wittchenite, Aguilarite, Molybdnite etc. The mineralizing fluids have been trapped between the temperature ranges of 130°C to 375°C with average being 250°C to 300°C. The fluid salinity also varies from near pure hot water to moderately saline fluid indicative of multi-episodic mineralization of syngenetic nature coupled with epigenetic component. The ore textures indicate 500°C temperature range; certain intergrowths of minerals like specular hematite and bornite suggest the occurrence of hypogene environment induced due to emplacement of granite/pegmatite on the eastern and southern margins of the belt. The strata bound nature suggests the euxogenic environment facilitated by carbonate facies of rocks. The parallelism of sulphide with the rock fabric was attained during first deformation and the epigenetic component coupled with the hypogene assemblage was deposited during the D2 deformation in the brittle ductile shear zones and limb shears, between the temperature ranges of 130°C to 570°C as deduced from petrochemical data. Hence a comprehensive model is suggested here on evolution of process of mineralization in the Neem Ka Thana belt.

Trend and determinants of early marriage in Rajasthan: Evidence from the national family health survey

Child marriage in India is still a major concern to attain the sustainable development goal. Although child marriage or early marriage is a violation of human rights and has many demographic and health consequences, it remains high in many parts of the country, and the state of Rajasthan, one among them, needs attention. Hence, this study attempted to analyze the trend in child marriage and used a social-ecological framework to examine predictors of early marriage in Rajasthan. The study used various rounds of NFHS data collected from 1992/93 to 2015/16. The study is focused on currently married women of 20–24 years. The results revealed that although child marriage has declined over the period, a higher prevalence is in Rajasthan. Results from the logistic regression delineate that being not educated either of the partners and belonging to a poor household increased the risk of getting married early. Regionally, the high rural population, and the gender gap in literacy followed by social tradition practices increase the risk of early marriages in the districts of Rajasthan. Findings suggest that facilitating educational opportunities for girls, economic support to poor families, and increasing awareness in rural areas will push to a positive impact.

Development of multidimensional food security index for Rajasthan, India: A district-level analysis

ABSTRACT The present study tries to analyze the status of food security and its various components, such as food availability, accessibility, stability, and utilization with the help of a multidimensional index across districts in Rajasthan, India, based on an indicator approach. The results confirm that there is a wide range of inequalities in terms of food security across districts. The Jaipur was found to be the most food-secure in Rajasthan due to relatively higher food accessibility. Conversely, lower food availability and accessibility contributed to the lowest food security in Banswara. Hence, study recommends: (i) diversification from farm to nonfarm activities; (ii) sufficient storage capacity to control price fluctuations throughout the year; (iii) promotion of water management and conservation technologies; (iv) regulation and replenishment of groundwater in rural areas for augmenting cropping intensity; (v) district-specific policies to arrest food insecurity; and (vi) strengthening the coverage of the rural employment program, i.e. MGNREGA.

Elucidate the Ground water Quality Parameters of Malpura Block (Tonk-Rajasthan-India)

This Paper deals with the Physico - chemical Parameters of various Sampling Sites of Malpura Block in Tonk District Rajasthan. Water samples of various water sources were analyzed for determination of degree of contamination w.r.t. to various physico-chemical parameters for investigations. The parameters analyzed included:-(1) general parameters (pH, EC, TDS and TH); (2) cations (Na+, K+, Ca2+and Mg2+); and (3) anions (Cl-, SO42-, F-, CO32-, HCO3- and NO3-) for a period of pre monsoon (March- June2011). The study will provide reliable water quality data, which can be involve for the assessment of precise health risks and for farming up of effective management and necessary water treatment required water sources.

Measuring and Mapping Food Security Status of Rajasthan, India: A District-Level Analysis

The present study tries to analyse the status of food security, along with its various components, such as food availability, accessibility, and stability with the help of a multidimensional index across districts of Rajasthan, India based on an indicator approach. The QGIS mapping computer application and quintile method were used to map districts into low, medium, high, and very high categories. Furthermore, multiple regression analysis was applied to find out the significant determinants of food security and its respective components. The results confirm that there is a wide range of inequalities in terms of food security and its components of availability, accessibility, and stability across districts. It was found that the Ganganagar district (0.407) was rated the most food-secure district due to relatively higher food stability (0.401) in the Rajasthan state. On the contrary, lower food availability (0.084) and accessibility (0.183) contributed to the lowest food security in the Dungarpur district. Moreover, districts associated with dry regions are highly vulnerable and relatively less food secure compared to districts having surface irrigation facilities. Hence, the study recommends; diversification from farm to non-farm activities; sufficient storage capacity to control price fluctuations throughout the year, formulation and dissemination of climate-resilient technologies; investment in infrastructure, promotion of water management, conservation technologies, regulation and replenishment of groundwater in rural areas for augmenting cropping intensity; district-specific policies to arrest food insecurity; and strengthening the coverage of rural employment programme, i.e. MGNREGA.

​​Incidence of Collar Rot of Groundnut in Rajasthan and its Management

Background: Groundnut (Arachis hypogaea L.) is an important legume crop of tropical and sub-tropical areas of the world. This crop suffers from several diseases like early leaf spot, late leaf spot, rust, groundnut bud necrosis, peanut clump and collar rot etc. But collar rot caused by Aspergillus niger van Teighem is one of the most important seed and soil borne diseases causing huge economic (40-50 per cent) loss in India and abroad. Methods: A roving survey was conducted to assess the incidence of collar rot in eight major groundnut growing districts of western Rajasthan i.e. Bikaner, Jodhpur, Churu, Jalore, Jaipur, Sikar, Nagaur and Dausa during Kharif 2018. A field experiment was carried out for two consecutive years (2019 and 2020) to manage the disease through altering micro-climate under canopy with six levels of seed rates (80, 85, 90, 95, 100 and 105 kg/ha). Result: Our investigations cleared that this disease is prevalent in all the 200 fields surveyed in eight districts of Rajasthan with 22.99 per cent overall disease incidence which varied from 17.84 to 32.38 per cent with monetary losses. Maximum disease incidence was recorded in Jaipur (28.85%) district while it was lowest in Nagaur district (20.15%). Higher disease reduction (12.97%) with increased pod yield (27.65%) was observed with higher seed rate of 105 kg/ha as compared to standard recommended seed rate (80 kg/ha) as this pathogen is favoured by higher temperature and low soil moisture, dense canopy provides shade that increases humidity under the cropped area and lowers temperature. As a result of this, plant mortality can be compensated by increasing plant population through seed rate, as it modifies the microclimate and generate an environment which is less favourable for developing collar rot disease of groundnut.