https://extensioneducation.org/index.php/jee/issue/feedJournal of Extension Education2023-02-14T01:34:23+00:00Dr. D Puthira Prathapeditorextension@gmail.comOpen Journal Systems<p><strong>The <em>Journal of Extension Education (JEE)</em> is a peer-reviewed open-access journal in the field of extension education published by the Extension Education Society (EES).</strong></p>The journal is published in both <em>print</em> and <em>online</em><em> </em>versions. [<strong>Print ISSN: 0971-3123; Online ISSN: 2456-1282</strong>]. The CODEN assigned to JEE is <strong><em>JEEOBM</em> .</strong><br /><p><strong><br /></strong></p>https://extensioneducation.org/index.php/jee/article/view/823Determinants Affecting the Adoption of Silvopastoral Production among Smallholder Farmers in Zimbabwe2022-04-04T06:56:50+00:00Christopher Gadzirayigadzirayichris@gmail.comChimvuramahwe Jeditorextension@gmail.comNhundu Aeditorextension@gmail.com<p><em>The main goals of silvopastoral production are to increase the quality and production of </em><em>fodder and promote the conservation of soil and biodiversity. Despite its achievements </em><em>as an approach, it has not been fully practiced by small holder farmers. The study sought to </em><em>determine the factors influencing the adoption of silvopastoral production in Chikwaka </em><em>communal area in Goromonzi district of Zimbabwe. Simple random sampling technique was used </em><em>involving sixty-six respondents. Factors that affect adoption were estimated by binary </em><em>logistic regression model. Variables that significantly affected the adoption of silvopastoral were </em><em>land size, number of cattle owned as well as household size. The results revealed that uptake level </em><em>of silvopastoral is still low . Therefore, the continuous effort to improve livestock herd </em><em>under smallholder farmers through </em><em>silvopastoral, should be taken as a priority to encourage more farmers to adopt the system.</em></p>2023-02-14T00:00:00+00:00Copyright (c) 2021 https://creativecommons.org/licenses/by-nc-sa/4.0/https://extensioneducation.org/index.php/jee/article/view/881Determinants in the Adoption of Climate Change Adaptation Strategies: Evidence from Wheat Farmers in Bundelkhand Region, India2022-04-05T03:37:19+00:00Surendra Singh Jatavsurendra.singh735@gmail.comSanatan Nayaksanatan5@yahoo.com<p><em>By using systematically collected field survey data of 200 farmers and binary logistic </em><em>regression, results of this study reveals that wheat farmers of Bundelkhand, Uttar Pradesh, India </em><em>are well-aware of changing climate and adjusting their farm practices to enhance climate resilience </em><em>capacity. Farmers use their indigenous knowledge coupled with extension services provided by the </em><br /><em>government to diversify their occupation and cropping pattern as adaptation strategies. The Binary </em><em>logistic regression results show that information on climate, access to institutional credit and </em><em>having crop insurance motivate farmers to improved irrigation facilities. Further, farmers perceive </em><em>that increase in temperature, decline in rainfall and water tables jointly change cropping pattern </em><em>from the high water-intensive crop (wheat) to low water-intensive crop (chickpea) as a climate </em><em>adaptation strategy. The study suggests developing a common platform for government services for </em><em>the region. Community participation and regular training programmes in the sample villages are </em><em>benefiting farmers to channelize their indigenous knowledge and optimize local resources, </em><em>which leads to </em><em>sustainable farming.</em></p>2023-02-14T00:00:00+00:00Copyright (c) 2021 https://creativecommons.org/licenses/by-nc-sa/4.0/https://extensioneducation.org/index.php/jee/article/view/926Impact of Extension Services Provided by ATMA (Agricultural Technology Management Agency) on Small and Marginal Farmers in Rural Assam2022-04-05T03:40:28+00:00Christopher TIRKEYtirkey.chriss@gmail.comManesh Choubeymchoubey@cus.ac.in<p><em>Agricultural Extension Services aim at disseminating new knowledge and skill to farmers to aid them in adopting new agricultural technologies and use their resources efficiently. Agricultural knowledge improves their skill and decision-making and enhances more efficient utilization of agricultural technologies. With a sample of 160 famers collected from Golaghat district of Assam by using multi-staged random sampling method, this study attempts to understand the impact of extension services provided by ATMA (Agricultural Technology Management Agency) in rural Assam. The Propensity Score Matching (PSM) technique is employed to control for potential sample selection biases. The analysis and findings reveal that the extension services provided by ATMA in the study area positively impacts on the income and paddy production of the small and marginal farmers. Timely dissemination of extension services which meet the actual needs of the farmers can impact the farmers income and output production to larger extent.</em></p>2023-02-14T00:00:00+00:00Copyright (c) 2021 https://creativecommons.org/licenses/by-nc-sa/4.0/https://extensioneducation.org/index.php/jee/article/view/927Development of a Scale to Measure the Marketing Behaviour of Vegetable Farmers2022-04-25T01:10:49+00:00Nadhika Knadhikakaladharan@gmail.comJayasree Krishnankuttyeditorextension@gmail.com<p><em>Marketing behaviour is the attitude and/or conduct of a person towards marketing </em><em>activities. Marketing decisions made by the farmer are based on factors such as </em><em>commodity, quantity and quality of produce, distance from market, transportation facilities, risk </em><em>bearing ability, innovativeness, etc. The study of marketing behaviour of the farmer </em><em>could help in promoting inclusive markets with the direct participation of farmers leading to </em><em>better profit margins. In the present study a scale was developed to measure the marketing behaviour </em><em>of vegetable farmers. The items generated rated for relevance by expert judges and after item </em><em>selection; it was administered to respondents for scoring. This was followed by factor analysis </em><em>using principal component analysis. The scale was standardized after reliability testing using </em><em>Cronbach's alpha and scale validation using content analysis. The final scale covered seven </em><em>dimensions, viz., production oriented decisions, planning orientation, farm enterprise </em><em>management, enterprise planning, technology oriented marketing, market based production </em><em>preferences and quality oriented production with 27 </em><em>statements.</em></p>2023-02-14T00:00:00+00:00Copyright (c) 2021 https://creativecommons.org/licenses/by-nc-sa/4.0/https://extensioneducation.org/index.php/jee/article/view/1171From the Editor's Desk2023-02-12T01:45:17+00:00PUTHIRA PRATHAP Deditorextension@gmail.com<p>This JEE Editorial speaks on "<strong>Data-driven Agriculture</strong>" [Volume: 33; Issue: 3]</p>2023-02-14T00:00:00+00:00Copyright (c) 2021 https://creativecommons.org/licenses/by-nc-sa/4.0/