{"title":"Adoption of Improved Paddy Cultivation Practices among the Farmers in Durg District, Chhattisgarh, India","authors":"Priya Kaur, S. H. Mazhar","doi":"10.9734/ajaees/2024/v42i52444","DOIUrl":"https://doi.org/10.9734/ajaees/2024/v42i52444","url":null,"abstract":"The present study was conducted in Durg district of Chhattisgarh state during the years 2022–23 to study the farmers' adoption of improved paddy cultivation practices. One hundred twenty respondents were randomly selected based on the criteria that no previous study had been undertaken. Farmers were personally interviewed using a pre-tested interview schedule. The majority of respondents had a high (15.83%), medium (53.34%) and low (30.83%) adoption level, hence, there is a necessity to provide training programs through Krishi Vigyan Kendras (KVKs) and the Agricultural Departments to improve paddy cultivation methods so that the farmers can enhance their adoption levels of paddy production technology. The independent variables, namely age, education, annual income, farming experience, social participation, extension contacts, land holding, economic motivation and risk orientation were positively and significantly correlated with the adoption behaviour of paddy growers towards improved paddy production practices.","PeriodicalId":502257,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"62 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140666754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on Knowledge Level of Farmers towards Climate Change on Crop Production at Udaipur District, Rajasthan, India","authors":"Varsha Jain, S. H. Mazhar","doi":"10.9734/ajaees/2024/v42i52445","DOIUrl":"https://doi.org/10.9734/ajaees/2024/v42i52445","url":null,"abstract":"Climate change is one of the most serious ecological problems, and it has a wide-scale effect on agricultural productivity all over the globe. In general, farmers know little about climate change, and their understanding of its impacts on agriculture is poor. Additionally, farmers play the most important role in supporting the economy. This research was conducted to understand farmers' knowledge about climate change. Check the level of knowledge they have. The present study, ‘knowledge level of farmers towards climate change on crop production’ was conducted in 2023. A total of 120 participants were selected from eight different villages’ two tehsils, Vallabhnagar and Mavli. The research revealed that farmers' knowledge about climate change was ascertained at medium level and the independent variables namely age, caste, education, family type, house, sources of knowledge and economic motivation were positively and significantly correlated with knowledge level of the farmers about climate change.","PeriodicalId":502257,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"22 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140666070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Case Study on Brand Personality and Consumer Loyalty in India's Booming Dairy Industry","authors":"V. N, Kalpana M, Sivapriya P, Santhosh Kumar M","doi":"10.9734/ajaees/2024/v42i52443","DOIUrl":"https://doi.org/10.9734/ajaees/2024/v42i52443","url":null,"abstract":"India's dairy industry is witnessing significant growth, driven by factors such as rising disposable incomes, evolving consumer preferences, and the emergence of foreign brands. As the market expands, establishing a strong brand image becomes essential. This research focuses on assessing the brand personality of AMUL, a prominent player in the Indian dairy market, and its influence on consumer loyalty. Utilizing a structured questionnaire administered to respondents in Coimbatore District, this study measures consumers' attitudes towards AMUL, its brand personality. Through exploratory factor analysis, four key dimensions of AMUL's brand personality viz., activity, simplicity, responsibility and emotionality are identified. The findings reveal a positive correlation between brand personality and consumer attitude, indicating the importance of personality in brand perception. The study underscores the importance of aligning branding efforts with consumer preferences and suggests strategies for AMUL to enhance its brand image and brand personality. By leveraging these insights, AMUL and other dairy firms can effectively engage consumers, strengthen brand equity, and sustain market competitiveness in India's dynamic dairy landscape.","PeriodicalId":502257,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"12 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140676648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arvind Kumar, R. K. Doharey, Gaurav Kumar, Aman Verma, A. Verma, Anurag Dixit
{"title":"Socio-Economic Profile of Onion Growers of Kanpur Nagar of Uttar Pradesh, India","authors":"Arvind Kumar, R. K. Doharey, Gaurav Kumar, Aman Verma, A. Verma, Anurag Dixit","doi":"10.9734/ajaees/2024/v42i52442","DOIUrl":"https://doi.org/10.9734/ajaees/2024/v42i52442","url":null,"abstract":"The study was conducted in 5 villages block in Kakwan block of Kanpur Nagar district was selected purposively for the study because of the criteria of nearness to researcher’s village and their accessibility. To ensure comprehensive coverage, a complete list of all onion growers in each selected village was compiled. Using a proportionate random sampling technique, 120 farmers were selected for the study. The majority of respondents exhibited various socio-economic characteristics: most fell within the age category of 32-51 years (62.50%), were literate (71.66%), belonged to other backward castes (50.00%), resided in nuclear families (60.84%), had family sizes ranging from 5 to 8 members (66.66%), were married (95.00%), and were marginal farmers with land holdings below one hectare (52.50%). Agriculture was observed as the primary occupation, with subsidiary agricultural labor occupations being prevalent (89.16%). Housing predominantly followed a kaccha type pattern (43.34%). Regarding income distribution, the highest proportion of respondents (44.17%) reported an annual income of 1 to 2 lakh. Material possessions varied among the respondents, with the majority owning farm power equipment such as diesel engines (79.16%) and agricultural implements like khurpi (84.16%). Transportation means mainly consisted of bicycles (88.34%), while household items such as gas cylinders and crockery were ubiquitous (100%), along with coats (99.16%). Economic motivation and scientific orientation were found to be at a medium level across the surveyed population.","PeriodicalId":502257,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":" 726","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140682118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of Biofortified Sweet Potato Varieties for Their Growth, Yield and Economic Performance under Assam Condition","authors":"Rocktim Baruah, Nishita Pathak, Manoranjan Neog, Utpal Jyoti Sarma","doi":"10.9734/ajaees/2024/v42i52441","DOIUrl":"https://doi.org/10.9734/ajaees/2024/v42i52441","url":null,"abstract":"An on-farm trial under Krishi Vigyan Kendra, Baksa was undertaken to evaluate the performance of two biofortified sweet potato varieties (Bhu Sona and Bhu Krishna) against a check variety Dergaon Red. The trial was conducted in eight different locations of Baksa and Dhubri district of Assam following scientific cultivation practices. Assessing the novel varieties for performance and economic return were taken as primary objectives while designing the experiment. Randomised Block Design was used to lay out the design and statistical analysis of the growth and yield characters shows significant differences between the three varieties. The variety Bhu Sona exhibited the highest vine length (214 cm), tuber length (18.6 cm), tuber weight (152.3 g), and average yield (16.7 tonnes/ha). In some significant yield characteristics like marketable tuber yield per plant and tuber yield per plant, the two biofortified varieties were at par with each other. And with respect to days taken for harvesting from planting, Bhu Sona and Dergaon Red were at par with each other with 109.3 days. The economic analysis reflected a maximum gross income of Rs. 253500 per hectare in Bhu Sona which was 26.8% more than the check variety. The variety Bhu Krishna also exhibited a 14% increase in gross return from the check variety. The trial indicated that the cultivation of varieties Bhu Sona and Bhu Krishna is feasible under Assam conditions contributing higher economic return to the farmers.","PeriodicalId":502257,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"124 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140694389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extraneous Shocks Affecting Agribusiness Loans Default Rate in Agricultural Finance Corporation, Mount Kenya Region","authors":"M’Muruku Salesio Miriti, Gathungu Geofrey Kingori, Mwirigi Rael Nkatha.","doi":"10.9734/ajaees/2024/v42i52440","DOIUrl":"https://doi.org/10.9734/ajaees/2024/v42i52440","url":null,"abstract":"Agro-shocks create stochastic disturbances to agribusiness performance, which spills over to the performance of credit markets. Farm loan beneficiaries domiciled in the Mount Kenya Region of the Agricultural Finance Corporation (AFC), have recorded a poor loan repayment rate of 20.33% versus 10%, which is the Central Bank of Kenya benchmark for all types of loans in Kenya. Given that agribusiness is a priority sector for addressing food and employment concerns, the performance of agri-loans is sacrosanct. This study aimed to determine the effect of extraneous shocks on the default rate of agribusiness loans disbursed by AFC in the Mount Kenya Region. The region has 11 branches with a population of 3,002 agribusiness borrowers. A sample of 300 respondents was drawn using systematic random sampling with an interval of ten. In a descriptive design using a structured questionnaire, primary data were collected on the effect of extraneous shocks on the default rate of AFC loans. To analyse the data, the Statistical Package for Social Sciences (SPSS V.27) was used. The effect of variables in predicting the default rate was estimated using regression analysis. To derive the F-statistic to test the adequacy of the regression model, ANOVA was performed. A multiple regression model was used to determine the statistical relationship between extraneous shocks and AFC loan default. The model estimates revealed that the three indicators (agroclimatic extremes, market volatility and biological hazards) of extraneous shocks explained 23.90% of the AFC loan default rate. The findings revealed that the statistical significance of the extraneous shocks was positive and significant at 5% (p values=0.00<0.05), implying that their occurrences presented performance challenges to the funded farming projects, thus plunging the loan beneficiaries into repayment challenges. The level of association of each of the indicators with the default rate is as follows: agroclimatic extremes (21.7%), market volatility (30.6%) and biological hazards (17.3%). This study contributes to the existing body of facts in agricultural finance and risk management by bringing to the fore that agro-shocks are sources of far-reaching menaces that constrain the sustainable production process further hindering the repayment of agricultural loans. The study recommends the need for strategic imperatives pointing to interventionist policies through protectionism, partnerships and the mitigation strategies to internalize the resultant negative externalities; loan actors should provide for contingencies and be alert to absorb risks emanating from shocks; penultimately, credit players should collaborate in pursuit of bespoke insurance schemes that can suitably cover farmer projects; ultimately, credit stakeholders should adopt coping strategies to cushion the societies from emerging distresses and devastating constraints.","PeriodicalId":502257,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":" 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140691562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of Scale to Measure Perceived Impact of Grape Beneficiary Farmers towards Restructured Weather Based Crop Insurance Scheme","authors":"Battu Preethi, G. Sasane","doi":"10.9734/ajaees/2024/v42i52437","DOIUrl":"https://doi.org/10.9734/ajaees/2024/v42i52437","url":null,"abstract":".\u0000For the progress of our nation, our farmers need to be progressed. Driven by the motivation Restructured Weather Based Crop Insurance scheme (RWBCIS) has been introduced in India. As agriculture is effected by disasters and consequences are beyond our control, it is very essential to take precautionary measures to mitigate from unforeseen events. Crop insurance assists in stabilization of crop production and reduces the negative impact on lives of the farmers. Grapes are susceptible to changes in weather and cause losses to the farmers. An attempt is made to develop a scale to measure perceived impact of Grape beneficiary farmers towards Restructured Weather Based Crop Insurance Scheme. With the help of Likert’s Summated Rating technique perceived impact scale was constructed. The process started with selecting 39 statements after calculating Relevancy percentage, Relevancy weightage and Mean Relevancy score. Later for item analysis step, 30 farmers from non-sample area were selected and the test was administered having 39 statements on five point continum. After computing t value, 29 statements were retained. The Reliability and validity of the scale was computed for precision and accuracy. The scale developed was found reliable and valid. Hence, the scale was finalized and administered to 75 Grape beneficiary farmers of RWBCIS farmers in the sample area ie. Nashik district of Maharashtra state. The overall perceived impact of beneficiary farmers towards Restructured Weather Based Crop Insurance Scheme was low. Hence it can be inferred that the farmers perceived that there is low impact of the scheme on their lives. Therefore co-ordination between the concerned authorities and regular auditing of the insurance companies is required for the scheme to run efficiently.","PeriodicalId":502257,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Navigating the Honey Markets Across Europe and Africa","authors":"Ashutosh Kumar, Dilip R. Vahoniya, Alvira Rajwadi","doi":"10.9734/ajaees/2024/v42i52436","DOIUrl":"https://doi.org/10.9734/ajaees/2024/v42i52436","url":null,"abstract":"India ranks fourth globally in terms of honey export but the Indian honey was mainly exported to American and Asian continent consisting of over 85 per cent of total honey exported by India leaving huge untapped potential in Europe which is second largest importer of honey worldwide as well as Africa. Keeping this in mind an analysis of European and African honey market was done using secondary data and results were interpreted in excel sheet. It was found that European honey production was primarily led by Spain. The continent accounted for approximately 45 per cent of global honey imports, with Germany being the largest importer with imported value of 306674.7 thousand USD (2023). India shared less than 0.1 per cent of total European honey imports. It was also observed that Africa contributed to 10 per cent of the world's total honey output. The continent’s honey import was considerably lower than global imports. In terms of export, Egypt led African honey exports. India shared only 12 per cent of total honey imports to Africa. It was noted that both Europe and Africa presented huge untapped potential for Indian honey. It was suggested to improve post harvest management of honey for maintaining quality standards and government support for increasing exports to the continents.","PeriodicalId":502257,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"8 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140695962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adoption of Management Tools by Farmers in the Context of Agricultural Extension and Advisory Services in Menoua Division, West Cameroon","authors":"F. Hensel, Mbunda Marceline Fien, M. N. Martial","doi":"10.9734/ajaees/2024/v42i52439","DOIUrl":"https://doi.org/10.9734/ajaees/2024/v42i52439","url":null,"abstract":"Aims: This study aims to analyze the challenges under the adoption of management tools provided by the Programme for the Consolidation and Sustainability of Agro-pastoral Counselling (PCP-ACEFA) to farmers in the Menoua Division. \u0000Methodology: 60 farmers were surveyed using a stratified random sampling technic and 5 advisors were interviewed. The data were processed and analyzed with Excel 2013 and SPSS software version 20. \u0000Results: Results shows that a variety of management tools are available to farmers in the Menoua division. The calculation of gross margin (utilization rate 62.96%), Balance sheet (utilization rate 60%) are the most widely used, especially for farms generating large financial flows. Concerning the factors influencing the adoption of management tools, the study revealed several categories: social, economic and institutional. Social factors, for example with the level of education, show that those who adopt the most (50%) have at least secondary education. Furthermore, with the help of the advisors, farmers who adopted these tools have been experiencing changes in their activities as they can now evaluate their activities to know their economic performances which will further permit them to make better decisions. The study also shows that farmers faced difficulties in adopting the use of management tools and it is mostly (33, 33%) due to a lack of finance to expand their exploitation and Implementation difficulties (20.8%). Concerning strategies for a better adoption of tools, farmers mostly propose that the program help increasing their farm size by financing their activities and simplification of tools to the least level that everyone can use. \u0000Conclusion: The recommendations formulated at the end of this study are to increase farmers' awareness and training in the use of management tools to guarantee good yields on their farms.","PeriodicalId":502257,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"25 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140697129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Seasonal Patterns in Cumin Arrivals and Prices in Indian Markets: A Post-COVID 19 Analysis","authors":"Gadhe Kiran, A. S. Shaikh, Mohit Kumar","doi":"10.9734/ajaees/2024/v42i52438","DOIUrl":"https://doi.org/10.9734/ajaees/2024/v42i52438","url":null,"abstract":"Cumin known as jeera in India, holds significant economic and cultural importance in the country's spice industry. My research paper explores the seasonal dynamics of cumin arrivals and prices in selected Indian markets, considering the profound impact of the COVID-19 pandemic. Utilizing data from the Agmarknet portal spanning from January, 2006 to December, 2021, this study employs rigorous statistical techniques to analyze the patterns. The study reveals distinctive characteristics in cumin arrivals and prices across different markets. Notably, markets like Unjha, Jamnagar, Gondal, Merta City and Mumbai witnessed significant seasonal price fluctuations in August (102.40), January (103.23), July (105.37), August (104.49) and October (108.17) respectively. Mumbai, characterized by stable supply and demand, exhibited moderate price variation (CV = 17.81%), whereas Mandore experienced substantial fluctuations (CV = 43.55%) due to seasonal factors exacerbated by the COVID-19 pandemic. This research provides invaluable insights into the altered seasonal patterns of cumin arrivals and prices following the pandemic, offering vital information for farmers, traders and policymakers. Informed decisions about cumin production, marketing and pricing can be made, aligning with the dynamic post-COVID-19 landscape of the spice market in India.","PeriodicalId":502257,"journal":{"name":"Asian Journal of Agricultural Extension, Economics & Sociology","volume":"13 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140696460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}