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Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur

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2009 - 200922010 - 201649
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Subject: Agricultural Extension × End date: 2016 × Start date: 2000 ×
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    Impact of kisan mobile advisory sevices in tikamgarh district of madhya pradesh
    (JNKVV, 2016) Bhatnagar, Shraddha; Bisht, Kamini
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    Effectiveness of communication channels on adoption of sesame production technology in block prathvipur district tikamgarh (M.P.)
    (JNKVV, 2016) Sinoriya, Prashant; Pyasi, V.K.
    ABSTRACT Sesame (Sesamum indicum L) is a very ancient and important annual oil seed crop in the world (Ashri, 1990) it is very important crop due to its edible oH, protein content protein quality, vitamins and amino acids. Sesame seeds have approximately 50 per cent oil and 25 per cent protein. Sesame is one of the most important oil seed crops of the world cultivated over an area of 7.8 million ha with a production of about 3.84 million metric tonnes of grains and the productivity of 0.48 tonnes per ha in 2010. It Is very high prized oil crop of India. Recently, India and China are the world's largest producer of sesame crop. In India sesame crop occupies an area of 1.82 million ha with production 0.62 million tonnes and its productivity is 0.34 tonnes per ha. Objectives of the study: To study the profile of sesame growers. To identify the communication channel in the process of adoption of new technology of sesame production. To determine the relationship between use of different communication channels with the profile of sesame growers. To determine the credibility of the various communication channels as perceived by the sesame growers. For this study, the multi-stage random sampling technique was used for selection of block, villages and respondents. The study was carried out in one block i.e. Prathvipur block of Tikamgarh district of Madhya Pradesh, which was selected purposively for the study on the basis of small area and less production of sesame crop. The total sample size was 120 sesame growers selected from 10 villages. The study was focused to know the adoption level of sesame growers in relation to socio-personal, psychological and communicational variables of the farmers i.e. age. education, total annual income, occupation, size of land holding, area under sesame crop, social participation, information source utilization, contact with extension agencies, mass media exposure, innovativeness, economic motivation and scientific orientation were selected as independent variables, while adoption of new technology of sesame production as dependent variable. The primary data were collected personalty by interviewing the selected respondents with the help of structural and pre-tested interview schedule. The secondary data were collected from various government departments, journals, publications and statistics department The data were analyzed through computer using frequency, percentage, chi-square test and association between dependent and independent variables. 1. Profile of sesame growers : It was observed that the majority of the farmers (58.33%) were formal educated. The majority of the farmers (78.33%) were formally educated. The higher percentages of the farmers (38.33%) had in low annual income category. The higher percentages of the formers (35.00%) had in Solely farming occupation category. The higher percentages of the farmers (43.33%) had in medium size of land holding category. The higher percentages of the formers (36.67%) had in medium area under sesame crop. The majority of the farmers (66.67%) were in low social participation category. The majority of the farmers (63.33) were in low information source utilization category. The majority of formers (58.33%) were in no contact with extension agencies category. The majority of formers (58.33%) were in low mass media exposure. More than half of the total farmers (63.33%) were in low cosmopoliteness category. The majority of farmers (61.67%) were in medium Scientific orientation category. 13. More than half of the total farmers (63.33) were in medium adoption level category. 2. Identify the communication channel in the process of adoption of new technology of sesame production: Maximum numbers of respondent who were using RAEOs as interpersonal channel at over 1all stages of adoption process was 28.67 per cent followed by 26.00 per cent were using neighbours and 25.00 percent were using progressive famers for adopting of new technology. In the mass media channels maximum numbers of respondent 11.60 per cent were used television followed by 05.70 per cent were used news papers and 03.50 per cent were used radio. 3. Association between independents and dependant variables: The association between various attributes of sesame growers like age, education, total annual income, occupation, area under sesame crop, social participation, information source utilization, contact with extension agencies, mass media exposure, cosmopoliteness and scientific orientation, were found to be significant with adoption of new technology of sesame production., whereas only size of land holding has showed nonsignificant association with adoption of new technology of sesame growers. 4. Credibility of the various communication channels as perceived by the sesame growers: The finding of the present investigation indicate that the credibility of the various communication channels as perceived by the growers in adoption of new technology of sesame production were the interpersonal communication channels at over all stages of adoption process was RAEOs (25.33%) was ranked 1st by the growers followed by progressive famers (25.00%) was ranked 2nd, neighbors (21.67%) was ranked 3rd. whereas regard to mass media communication channels the growers ranked television (15.00%) was ranked 1st followed by news papers (07.50%) was ranked 2ndand radio (05.50%) was ranked 3rd. Suggestions for further work: The present study was confined to ten villages only. Hence, the results may not be applicable to large area. In this study, the dependent and independent variables were limited and therefore, further studies may be taken up based on situational and infrastructure! variables. Replication of research may be planned for studying different sesame grown areas under various agro-climatic zones of the state. For appropriate generalization, similar work should be undertaken on a large scale in different categories of farmers. More intensive statistical techniques should be used for improving contribution of different variables which might be given more strength to the study.
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    ThesisItemOpen Access