Extent of Adoption of Available Components in the IFS Units of Kerala

Chandran, Vani; Chakravarty, Ritu

doi:10.48165/ijee.2022.58426

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…Same pattern was visible in all districts. According to the findings of Chandran and Chakravarty (2022), in the IFS units of Kerala, the rate of adoption of identified components were found to be low and none of the units possessed all the identified components. Among the components, least adoption was noticed for mushroom and apiculture.…”

Section: Categorization Of Ifs Farmers Based On Their Overall Annual ...mentioning

confidence: 98%

Contribution of Integrated Farming System (IFS) Units Towards Household Income in Kerala

Chandran

Saurav

Chakravarty

et al. 2023

ijee

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From an economic point of view, combining various components in the same unit helps to diversify farmers’ income. An attempt was made to determine the contribution of various components, adopted in an IFS unit, to the annual household income among the IFS units of Kerala during 2022. In this study, total annual household income was computed by summing up the gross income from all the on-farm sources. The study revealed that 52.78 per cent of respondents were found in the low-income category, followed by one-third in the medium-income category. Among the selected components, the contribution of income from the crop component, dairy component, and poultry component, was found to be low to medium, while the trend in income generation from fish component was from medium to low. In the case of apiculture and mushroom components, medium to high-income generation was also noticed. It was also found that farm size, experience in farming, economic motivation, training undergone, and herd size were positively correlated with the total farm income of households.

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Section: Categorization Of Ifs Farmers Based On Their Overall Annual ...mentioning

confidence: 98%

Contribution of Integrated Farming System (IFS) Units Towards Household Income in Kerala

Chandran

Saurav

Chakravarty

et al. 2023

ijee

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“…82 % increase in adoption over pre demo was found in use of high yielding variety followed by use of nitrogen (62%), seed treatment (55%), use of FYM (48%), weed control (45%) and use of P2O5 (33 %). Whereas, below 30% increase in adoption was found in time of sowing, irrigation application, pest control measures, time of harvesting, timely land preparation, disease control, seed rate, use of potassium fertilizer and spacing [12,9,10,13,11,14,15].…”

Section: Adoption Level Of Farmers About Demonstrated Finger Millet P...mentioning

confidence: 99%

Farmers’ Adoption of Finger Millet Production Technologies and the Impact on Finger Millet Yields

Srinivas,

Sukanya,

Rao

2024

JEAI

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Low remuneration and poor adoption of Finger millet [Eleusine coracana] production technologies were major constraints in yield gap in finger millet. Therefore, evaluation of production potential, adoption, economic and other benefits of the technologies in social perspectives of the farmers was undertaken. The study was conducted in two districts of Karnataka, India where the frontline demonstrations programme organized during the five years from 2017-18 to 2021-22 in 200 farmers’ fields. The knowledge, adoption and impact were measured by following before and after method, and data was collected through survey, focussed group discussion and personal interview methods. The demonstrated technologies resulted into increase in Knowledge over pre demo in use of high yielding variety (85%) followed by use of nitrogen (Urea) (62%), seed treatment (62%), use of FYM (56 %). Increase in adoption over pre demo was found in use of high yielding variety 82 % followed by use of nitrogen (62%), seed treatment (55%), use of FYM (48%). The higher adoption of the demonstrated technologies (71%) by the farmers in Karnataka led to higher grains production (33%) with better quality (65%) and fodder yield by 38% over pre-FLD stage. The increased yields not only enabled them to obtain higher net returns (55%) and incremental increase of benefit-cost ratio (25%) but also motivated to increase in area under finger millet (20%) significantly than the pre-FLD stage. Whereas, very low increase in cost of production (10%) over the pre-FLD stage was observed. Age, education, family size, annual income, institutional support, extension contact, herd size, and utility of grain and fodder were found to be significant in explaining the variation in their adoption level of demonstrated finger millet production technologies. Among the constraints, availability of labour, wild animals (deer and wild boar) and availability of seed are the major production constraints and price fluctuation, limited quantity purchases by government, delay in payment by government, and high commission from APMC are the major market constraints. To boost-up the adoption, large family size of the farmers, their dependency on farming and continuing newly selected farmers with field demonstration of location-specific low-cost technologies up to five years should be considered.

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Extent of Adoption of Available Components in the IFS Units of Kerala

Cited by 2 publications

References 7 publications

Contribution of Integrated Farming System (IFS) Units Towards Household Income in Kerala

Contribution of Integrated Farming System (IFS) Units Towards Household Income in Kerala

Farmers’ Adoption of Finger Millet Production Technologies and the Impact on Finger Millet Yields

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