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  • ThesisItemOpen Access
    Organic farming as a strategy for climate change adaptation - an exploratory study
    (Department of Agricultural Extension, College of Agriculturture, Vellayani, 2018) Sangeetha, K G; KAU; Sheiref, A K
    The study entitled “Organic farming as a strategy for climate change adaptation – An exploratory study” was carried out with the objectives to analyze the integrated adaptive capacity of organic farmers in comparison with conventional farmers through the development of a measurement tool, namely, Integrated Adaptive Capacity Index; to create a database of the certified organic farmers of Kerala and to explore the personal, socio-economic and psychological characteristics of the farmers and the agro-ecological characteristics of their farms for formulating a workable climate change adaptation strategy. The database of certified organic farmers in Kerala was prepared by collecting the information from the list of accredited certifying agencies in Kerala and PGS (Participatory Guarantee System) of India. The respondents were selected from the agro-ecological units having maximum number of certified organic farmers, namely, AEU9 - South central laterites and AEU11- Northern laterites and minimum number of certified organic farmers namely, AEU 1- Southern coastal plain and AEU13- Northern foot hills. Developing an index for measuring the Integrated Adaptive Capacity (IAC) of the farmers was one of the major achievements of the study. For that, the factors contributing to the Integrative Adaptive Capacity were identified as: socio- economic, technological, agricultural, managerial, bio-physical and ecological. Each factor of the adaptive capacity index was measured by summing up the scores of indicators delineated through pilot study, expert opinion and judges’ relevancy rating. The Integrated Adaptive Capacity (IAC) index was calculated as the composite measure of these six factors. The comparison of the mean scores of IAC index of organic (81.05) and conventional farmers (46.35) clearly indicated that there exists a significant difference between the two groups and the organic farmers were found to be more adaptive. The IAC index-based analysis revealed that majority (62%) of the organic farmers are of high adaptive capacity where as majority of the conventional farmers (56.1%) belonged to moderate adaptive capacity. The AE Unit wise comparison revealed that the farmers of South central laterites exhibited the highest IAC index, followed by the farmers of Southern coastal plain, Northern foothills and Northern laterites. Among the six IAC factors, socio- economic factor was found to be the most contributing followed by technological, agricultural, managerial, bio-physical and ecological. All these factors were found to be positively and significantly correlated with the IAC Index. The analysis of personal, socio-economic and psychological characteristics indicated that majority of the farmers of the survey area belonged to middle aged category, medium level of annual income and possessed an area of 1 to 5 acres of land. Majority of the farmers were studied up to high school level with high farming experience and farming commitment. Most of the respondents were having medium level of mass media exposure, closeness with agricultural support system and self confidence. Majority of the farmers were found to have a low level of socio-political participation. The results indicated a positive and significant correlation between the integrated adaptive capacity index and the profile characteristics of the farmers except age. The major constraints as perceived by the farmers were: marketing problems (72.17%), lack of timely weather forecasts and its access to farmers (71.5%), risk due to uncertain weather parameters (69.77), inadequate storage and transportation facilities (64.54%), high cost of inputs (57.85%), inadequate labour availability (55.18%), inadequate input supply (48.93%), non- availability of organic inputs (48.55), inadequate institutional support (43.7%), lack of timely dissemination of appropriate technology (40.77%), lack of need based training programmes (40.53%), inadequate infrastructural facilities (40.13%) and lack of farmer participatory research (34.24%). Based on the study a workable climate change adaptation strategy is proposed at different levels such as: Farmer, Extension delivery system, Research and Government. The major strategies at farmer level included: adopting locally- relevant climate-smart agricultural practices, changing cropping pattern according to seasonal/ climatic variability/changes, application of organic inputs, insitu- resource utilization etc. The major strategies at extension delivery system level included: encourage rain water harvesting and recharging measures, making the farmer aware about the bio-physical resources of the farm, support livelihood diversification, promoting crop insurance, etc. The major strategies at research level included: Identify technologies with mitigation and adaptation synergies, developing climate resilient varieties, development of technologies to improve water productivity and water use efficiency, innovative technologies for value addition of agricultural products, undertaking researches related to climate change and adaptation/mitigation, etc. The major strategies at government level included: providing additional access to credit and saving mechanisms, establishing efficient transporting and marketing facilities avoiding middle men for getting reasonable income to the farmers, encourage education on how to reduce their emissions, awareness programmes for reducing GHG emission, carbon sequestration etc., disaster risk reduction and climate change in schools and farmer/worker organisations, provide funding for climate adaptation activities and research, etc. A comparison of the agro ecological profile of the farmers with highest IAC index indicated that organic farmers had better adaptation capacity for coping up with climate change. Thus, from the study it is concluded that, organic farming can be considered as one of the climate change adaptation strategies, as it optimally combines different practices in a systematic manner using limited resources, along with additional benefits of biodiversity and environmental services, leading to safe food production and sustainable livelihood support.
  • ThesisItemOpen Access
    Performance effectiveness of technology dissemination system of state department of agriculture in Kerala and Andhra Pradesh: a comparative analysis
    (Department of Agricultural Extension College of Agriculture, Vellayani, 2018) Modem Ravikishore; Seema B
    The present study entitled ‘Performance effectiveness of technology dissemination system of State Department of Agriculture in Kerala and Andhra Pradesh: A comparative analysis’ was conducted in Kerala and Andhra Pradesh states during 2014-2017 covering 200 extension professionals and 100 farmers form both the states with equal proportions. Agricultural extension workers of State Department of Agriculture are personnel who are responsible for meeting the goals of extension system. Evaluation of the success of extension delivery programmes, in most cases, has focused on performance effectiveness of extension personnel of State Department of Agriculture. However, the effectiveness and efficiency with which extension personnel deliver extension services cannot be over looked as this may in fact be a greater reason for success or failure of extension programmes. This necessitates the present study with the objective of assessing and comparing performance effectiveness of State Department of Agriculture in Kerala and Andhra Pradesh vis-a-vis technology dissemination system. Comparative analysis of technology dissemination systems of Kerala and Andhra Pradesh would allow inter-scalability of technologies. The findings demonstrated that most of the extension professionals with respect to Kerala as well as Andhra Pradesh states have moderately favorable attitudes towards technology dissemination system of State Department of Agriculture (SDA). Comparative analysis of attitude among Kerala and Andhra Pradesh extension personnel have shown that there was significant difference towards State Department of Agriculture. Attitude of Kerala extension professionals was influenced by the factors age, experience, training and organizational commitment. Attitude of Andhra Pradesh extension personnel was influenced by the factors training, organizational commitment, perceived workload, job satisfaction and achievement motivation. Performance effectiveness index of technology dissemination system of State Department of Agriculture (SDA) was devised and measured in three components namely: Human effectiveness component, Dissemination system component and Organisational effectiveness component and the results revealed that majority of the extension personnel with respect to Kerala as well as Andhra Pradesh, performance effectiveness index was medium. Comparative analysis of Performance effectiveness index of technology dissemination system of State Department of Agriculture (SDA) among Kerala and Andhra Pradesh extension personnel have shown that there was significant difference. Performance effectiveness index of Kerala extension professionals was influenced by the factors like experience, training, job satisfaction, participation efficiency and achievement motivation. Performance effectiveness index of Andhra Pradesh extension professionals was influenced by the factors like experience, training, organizational commitment, innovation proneness and participation efficiency. The study also revealed that most of the farmers with respect to Kerala as well as Andhra Pradesh states, perceived that technology dissemination system of State Departments of Agriculture (SDA) was moderately favourable. Comparative analysis of farmers’ perception towards technology dissemination system of State Department of Agriculture (SDA) among Kerala and Andhra Pradesh states have shown that there was significant difference. The findings also demonstrated that most of the respondents with respect to Kerala as well as Andhra Pradesh states, belonged to middle age category, comprising medium experience; attended very high number of trainings. It was also found that most of the respondents from both states having normative commitment with no significant difference. Perceived workload, job satisfaction and decision making ability of the respondents from both states was medium with significant difference. Achievement motivation and innovation proneness of the respondents from both states was medium with no significant difference. Hence, the study assessed and compared the performance effectiveness of technology dissemination system of State Department of Agriculture (SDA) in Kerala and Andhra Pradesh by developing performance effectiveness index which also revealed that there was significant difference in their performance with clearly depicted constraints and suggestions from both the states.