Socio-economic correlates and determinants of cashew productivity: An analysis of Dakshina Kannada district

The study analyses the socio-economic correlates and determinants of cashew productivity in the Dakshina Kannada district of Karnataka state, as a prerequisite for developing and initiating effective extension interventions for combating low productivity and profitability from cashew cultivation. Results show that majority of the cashew farmers recorded medium to low productivity in cashew cultivation. Extension contact and participation were identified as significant correlates of cashew production and productivity along with level of education and primary occupation. Age of the farmer, primary occupation, years of experience in farming, cosmopoliteness, number of yielding cashew trees, yearly expenditure made in cashew farming and net income from cashew farming were identified as determinants of cashew productivity. The study suggests motivating farmers to take up cashew cultivation in high density mode, undertake cashew cultivation in better quality land with recommended management practices and proportionately increasing yearly expenditure for cashew farming in relation to net income from agriculture. The results clearly indicate that socio-personal and economic correlates and determinants along with policy environment have a larger contribution in explaining cashew productivity, while technology component alone cannot be expected to bring a positive impact

Technology impacts on area, production and productivity of cashew in Dakshina Kannada district, Karnataka

The study analyses the technology impacts on area, production and productivity of cashew in the Dakshina Kannada district of Karnataka state, for combating low productivity and profitability from cashew cultivation. Results revealed that highest area under cashew is occupied by the variety Ullal-3 followed by Bhaskara with similar trend in adoption levels. The ‘Ullal-3 + Bhaskara’ combination emerged to be the most popular one among farmers in the study area. Farmers realized highest yield from cashew varieties such as Bhaskara and Madakkathara-2 followed by Ullal-1 and Ullal-3. Productivity under normal density (8 x 8 m) as well as high density (5 x 5 m) planting was highest for Bhaskara and Madakkathara-2. Correlation analysis showed that four technologies; soil and water conservation, pruning and training, plant protection and harvesting and post-harvest technologies had highly significant relation with the cashew production achieved by farmers. Increased adoption of soil and water conservation techniques, development and popularization of user friendly plant protection measures and adoption of viable intercrops can contribute largely to increase cashew production while increased adoption of pruning and training in cashew orchards can significantly increase the per unit productivity of cashew orchards. The study concludes that socio-economic and bio-physical factors along with policy environment have a larger contribution in explaining cashew production and productivity and technology component alone cannot be expected to bring a positive impact. Understanding the above dynamics in technology impact can help researchers and extension agencies working in cashew sector to design better innovations and effective outreach strategies

Technology adoption and socio-economic determinants of cashew farming in North Kerala

The present investigation analyses the existing technology utilization status in the Kannur and Kasaragod districts of Kerala state, as a prerequisite for developing and initiating innovative cashew production technology interventions for combating low productivity and profitability from cashew cultivation. An ‘ex-post-facto cause to effect’ design was used, and a rural appraisal ascertained that the levels of technology utilization were significantly low among cashew farmers in this region. The majority of farmers surveyed exhibited a low level of technology utilization status in cashew farming. Four socio-personal variables viz., extension contact, extension participation of cashew farmers, information and communication technologies (ICT) usage and cosmopoliteness and seven economic variables viz., farm size, area under cashew, number of yielding cashew trees, expenditure in agriculture, net income from agriculture, expenditure in cashew farming and net income from cashew farming were found to have a significant positive contribution towards adoption of cashew production technologies. Stepwise regression yielded a model with four predictors viz., number of yielding cashew trees, extension participation, net income from agriculture and farm size (negative effect) explaining up to 47.5 per cent of the variation in technology utilization among cashew farmers

Half yearly news letter of ICAR-Directorate of Cashew Research, Puttur, Karnataka, India

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Half yearly news letter of ICAR-Directorate of Cashew Research, Puttur, Karnataka, India

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Half yearly news letter of ICAR-Directorate of Cashew Research, Puttur, Karnataka, India

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