Thesis (M.S.)--University of Wisconsin--Madison. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 134-139).

Thesis (M.S.)--University of Wisconsin--Madison, 1961. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 73-74).

Thesis (M.S.)--University of Wisconsin, 1959. / Extension Repository Collection. Typescript (carbon copy). Autobiographical sketch. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 119-127).

Thesis (M.A.)--University of Florida, 2001. / Title from first page of PDF file. Document formatted into pages; contains ix, 112 p.; also contains graphics; Microsoft Excel spreadsheet linked to PDF file. Vita. Includes bibliographical references (p. 100-111).

Thesis (M.Sc.(Agric.))(Agricultural Extension)--University of Pretoria, 2006. / Includes bibliographical references. Available on the Internet via the World Wide Web.

Thesis (M.S.)--University of Wisconsin--Madison, 1961. / Typescript. Title from title screen (viewed July 27, 2007). Includes bibliographical references (leaves [126]-128). Online version of the print original.

The educational aspect of the work of the District Agriculturist is not well defined. The problem was to develop a system of defining, measuring and portraying the educational work of agricultural extension that would be considerably more meaningful than present day attendance records, would relate quality to the quantity of work, would enable extensiveness of use of the extension service to be related to socio-economic characteristics of farmers and would enable the testing of the hypothesis that socioeconomic characteristics differ between extensive and nominal users of the service. The work of one District Agriculturist in the Peace River Extension District in Northern Alberta, Canada was studied for the period of one year, March 1968 to March 1969. All individual and group contacts were recorded and classified according to function of the contact, instructional level achieved, method employed and time involved. Two hundred farmers were interviewed regarding certain socioeconomic characteristics. A numerical score indicating extensiveness of use was related to socio-economic characteristics using Chi-square, T test and correlation procedures. The measurement system developed for the study was found to be operational and yielded considerably more information than common annual reports and could be a basis for evaluation. It was found that the extension agent accomplished his work by making a large number of face to face contacts with about a third of the potential clientele. About half of the contacts were educational and most of these were at the lower instructional levels. Group contacts reached higher instructional levels than individual contacts and farm visits reached higher levels than office visits. The small group meeting was found to be superior to other methods. Extensiveness of use of the service was found to be more meaningful when instructional quality of the contacts was considered rather than numbers of contacts. Little difference was found relating age, education, tenure, experience and area of farm to extensiveness of use. Extensive users of the service were found to have spent significantly less time at off farm work and earned a significantly greater proportion of their income from the farm. They had significantly greater capital assets and significantly higher gross sales than the nominal users indicating that extensive users of the extension service differed significantly from nominal users of the service with respect to certain socio-economic characteristics. The description of the educational role of the District Agriculturist relating quantity, quality, extensiveness of use and socio-economic characteristics, contains information that would lead to more accurate determination of program priorities and would be a useful measure of achievement on a regional basis. / Land and Food Systems, Faculty of / Graduate

Please read the abstract in the section 00front of this document / Dissertation (M Inst Agrar (Extension))--University of Pretoria, 2005. / Agricultural Economics, Extension and Rural Development / unrestricted

The impact of farmer training in Botswana in terms of its influence on farmers’ production efficiency is not well known. The objectives of this study have been to investigate the factors that determine the adoption and non-adoption of agricultural technologies, establish how farmers contribute to the training program, and determine the impact of the knowledge gained from the training program. A structured questionnaire was administered to 223 respondents, from these respondents 153 farmers attended training, twenty-one respondents were never trained, thirty-three were frontline extension agents, nine support staff, five instructors and two managers. The respondents were from five districts of Kgatleng, Kweneng south, and Kweneng north, Kweneng west, and Southeast. The study revealed that intervening variables are the determinants of behaviour change, and the effect of the independent variables is manifested in them. It was established that age, education and farm size seems to have an influence on adoption of technologies. While gender, farming experience, land ownership, and membership to farmer organization did not influence adoption of technologies. The results indicated that most of the farmers were not involved in identifying the courses they attended, as indicated by 65 percent of the respondents. This was confirmed by 80 percent of respondents who indicated that extension agents suggested the courses. The findings of the study show that most of the respondents agreed that knowledge gained from training is very useful. This was reported by 45 percent of respondents who indicated moderate impact on their production due to training, 46 percent indicated that they used the knowledge often, while 36 percent of respondents never used the knowledge since training. The most important factor revealed by the study contributing to non-adoption of technologies is lack of resources. This is related to need, perception and participation of farmers in identifying the courses they attend. During follow-ups made by extension staff on trained farmers, the results show that the status of acquired knowledge is usually negative; this was stated by 64% of the respondents, as such indicating that there was no implementation. This affirms the fact that 36 percent of respondents never used the knowledge, while 36 percent did not realize any impact at all on their production efficiency due to training. The study concluded that for training to be effective, extension has to address the needs and perception of trainees. This will address lack of resources, which contribute to non-adoption of technologies. Compatibility of acquired knowledge to the situation of respondents is another factor to be considered in training. It is concluded that the needs of respondents determine adoption behaviour, which finally influences production efficiency. Based on the findings of this study, factors identified to influence adoption and non-adoption of technologies and issues raised, it is recommended that more research should be done to address implementation of acquired knowledge and how to measure the impact of training. / Dissertation (MSc (Agricultural Extension))--University of Pretoria, 2006. / Agricultural Economics, Extension and Rural Development / MSc / unrestricted

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