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Roy, Rakesh
- Socio-Economic Factors and their Influence on the Production Performance of Commercial Pig Farms in India
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Affiliations
1 Division of Extension Education, Indian Veterinary Research Institute, Izatnagar, Bareilly (U.P.), IN
2 Darjeeling Krishi Vigyan Kendra, (U.B.K.V.), Kalimpong (W.B.), IN
1 Division of Extension Education, Indian Veterinary Research Institute, Izatnagar, Bareilly (U.P.), IN
2 Darjeeling Krishi Vigyan Kendra, (U.B.K.V.), Kalimpong (W.B.), IN
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The Asian Journal of Animal Science, Vol 9, No 1 (2014), Pagination: 68-73Abstract
Socio-personal and socio-economic characteristics influence the accessibility to the resources, participation in decision making, livelihood pattern, standard of living etc. Most of the studies conducted hitherto in the social perspective on pig farming primarily focused on the traditional backyard pig rearing system. Very little was known about the social aspects of pig farmers engaged in commercial pig farming, due to relative newness and geographical scatteredness of this enterprise. Thus, the present study was designed to study the socio-personal and socio-economic characteristics of commercial pig farmers and their influence on production performance of pig farms in India. The cases of 100 commercial pig farmers across five states in India were interviewed using structured interview schedule. The study revealed that most of the pig farmers belonged to middle age group (67%) and were literates (83.00 %). The major religion followed among respondents was Hinduism (73%) and majority of them belonged to other backward classes (38 %). Majority had small land holding (36.00%) and small herd size (42 %). The annual income of most of the respondents (47 %) was found to be Rs.4-8 lakh. Production performance score was given to each farm based on some important production parameters (body weight of boar and gilts at first breeding, body weight of fatteners during marketing, body weight of boar and gilt at 6 months and average litter size at birth). Correlation between the production performance and some important socio-personal parameters was found positive and significant.Keywords
Socio-Personal Profile, Socio-Economic Profile, Production Performance, Pig Farmers.- Forecasting of Green Chilli Prices in West Bengal by Holt-Winters Method Using Expert System
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Authors
Affiliations
1 Darjeeling Krishi Vigyan Kendra (UBKV), Kalimpong (W.B.), IN
2 Palli Siksha Bhavana, Visva-Bharati University, Santiniketan (W.B.), IN
3 Darjeeling Krishi Vigyan Kendra (U.B.K.V.) Kalimpong (W.B.), IN
1 Darjeeling Krishi Vigyan Kendra (UBKV), Kalimpong (W.B.), IN
2 Palli Siksha Bhavana, Visva-Bharati University, Santiniketan (W.B.), IN
3 Darjeeling Krishi Vigyan Kendra (U.B.K.V.) Kalimpong (W.B.), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 9, No 1 (2018), Pagination: 203-207Abstract
The present study was conducted to access the market trend of green chilli in West Bengal using user friendly expert-system. Windows operating system and MS Office package is required to run the system. Triple exponential smoothing (Holt-Winters method) has been applied for forecasting the monthly price of chilli. To measures the accuracy, mean absolute percentage error (MAPE), mean absolute error (MAE) and mean square error (MSE) at different levels of smoothing constants such as α, β and γ have been used for the model selection criteria that can describe the trend the price of green chilli during January 2010 and March 2017. Price of green chilli from April 2016 to March 2017 was considered for model validation. Price forecasts of green chilli from April 2017 to March 2018 were found to be in between Rs.16/kg to Rs. 58/kg highest price forecast during Sept. 2017 and lowest during May, 2017. Upper control limit and lower control limit along with forecast value has given an narrow range of forcast that proves its accuracy in forcasting.Keywords
Green Chilli Price, Forecasting, Holt-Winters Method, Expert-System.References
- Bermudez, J.D., Segura, J.V. and Vercheri, E. (2010). Bayesian forecasting with the Holt–Winters model, J. Operational Research Society. 61:164 -171.
- Chakrapani, R. and Kannaiah, P. (2012). A study on forecasting predicting commodity prices of gold movements with use of Holt-Winter Model, Trend Smoothing Method at Hydrabad Stock Exchange. IRACST- Internat. J. Res. Mgmt. & Technol., 2(2):131-139.
- Chatfield, C. (2013). The analysis of time series: Theory and Practice, Springer Publisher, pp. 263.
- Dhakre, D.S., Sarkar, K.A. and Manna, S. (2016) Forecast price of brinjal by holt Winters method in West Bengal using MS Excel. Internat. J. Bio-Resource, Environ. & Agric. Sci., 2(1): 232-236.
- Gelper, S., Fried, R. and Croux, C. (2010). Robust forecasting with exponential and Holt-Winters smoothing, J. Forecasting, 29: 285-300.
- Holt, C.C. (1957). Forecasting trends and seasonals by exponentially weighted averages, Carnegie Institute of Technology, Pittsburgh ONR memorandum no. 52.
- Ishaque, M. and Ziblim, S.D. (2013). Use of some exponential smoothing models in forecasting some food crop prices in the upper east region of Ghana, Mathematical Theory &Modeling, 3 (7) : 16-27, www.iiste.org.
- Ramya Lakshmi, S.B. and Bhavani Devi, I. (2017). Time series analysis of chilli (dry) prices in selected markets of India. Internat. Res. J. Agric. Eco. & Stat., 8(2):271-276, DOI : 10.15740/HAS/ IRJAES/8.2/271-276.
- Winters, P.R.(1960). Forecasting sales by exponentially weighted moving averages. Mgmt. Sci., 6 (3): 324–342. doi:10.1287/mnsc.6.3.324.
- AGMARK (2017). Commodity, Green Chilli, West Bengal, Accessed on April 2017 from http://agmarknet.dac.gov.in.
- Adoption of Improved Mandarin Production Technologies among Mandarin Growers of Darjeeling Hills
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Authors
Affiliations
1 Darjeeling Krishi Vigyan Kendra, Uttar Banga Krishi Viswavidyalaya, Kalimpong (W.B.), IN
1 Darjeeling Krishi Vigyan Kendra, Uttar Banga Krishi Viswavidyalaya, Kalimpong (W.B.), IN
Source
Agriculture Update, Vol 13, No 4 (2018), Pagination: 396-404Abstract
The study was undertaken with the objective to assess adoption behaviour of improved mandarin production technologies among mandarin orange growers. The study was purposively conducted in the hill region of Darjeeling district in West Bengal where mandarin orange is the pride fruit of the region. In all, 150 respondents were considered for the study and personal interview method was applied for collection of data using semi-structure interview schedule and farm visit. The socio-economic profile of the mandarin orange growers shows that mean age of the respondents was 50 years with mean education upto class 6 and agriculture as primary occupation. Mean land holding was 2.3 hectares with 15 numbers of plants and having 28 years of farm experience. Annual income from mandarin production was about 0.99 lakhs. Majority of the respondents had no social participation and had training exposure among 20 per cent of the respondents. The study shows that adoption of improved mandarin production technologies was low among the mandarin growers. Total Rank Order Score (TROS) shows that proper harvesting time and methods was highly adopted. St aking and supporting was highly adopted by the respondents. The study shows low adoption of soil treatment, seedling preparation, practices of scientific intercropping. The study also shows low adoption of other improved mandarin production technologies like application of manures, application of micronutrient, water treatment, fruit drop control measures and plant protection measures. The study further shows that age (p<0.01) of the mandarin growers was negatively correlated and education (p<0.01) of the respondents, number of plants (p<0.05) and training received (p<0.05) by the respondents was positively correlated with adoption of mandarin production technologies. The study reveals that education of the respondents and the numbers of plants in the orchard were the main contributing factors for adoption of improved mandarin technologies.Keywords
Adoption, Darjeeling Mandarin, Improved Production Technologies, Socio-Economic.References
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- Meena, R.R., Geanger, K.L., Meena, B.L., Bhatnagar, P. and Meena, P.L. (2017). Analysis of adoption and constraint perceived by mandarin growers in Jhalawar district of Rajasthan state, India. Internat. J. Curr. Microbiol. & Appl. Sci., 6(4): 1465-1470.
- NHB, database (2012). National Horticulture Board (NHB) Government of India– an autonomous society under the Societies Registration Act 1860. Institutional Area, Sector 18, Gurgaon (Haryana) India.
- Phuse, A.P., Vitonde, A.K. and Thipse, C.D. (2007). Adoption of recommended mandarin orange production practices. Indian Res. J. Extn. Edu., 7(2&3) : 98-100.
- Thakare, P.V.,Chikale, N.J. and Deshmukh, P.V. (1996). Factor affecting adoption of orange technology by growers, Maharashtra J. Extn. Edu., 15 :176-178.
- Yadav, B.C., Choudhary, R. and Saran, P.L. (2013).Adoption of improved production technology of Mandarin in Rajasthan, India: A review. African J. Agric. Res., 8(49): 6590-6600.
- Peste Des Petits Ruminants in India:A Review of Economic Losses
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Authors
Affiliations
1 Darjeeling Krishi Vigyan Kendra (U.B.K.V.), Kalimpong (W.B.), IN
1 Darjeeling Krishi Vigyan Kendra (U.B.K.V.), Kalimpong (W.B.), IN
Source
Agriculture Update, Vol 13, No 4 (2018), Pagination: 463-469Abstract
Small ruminants contribute a significant source of supplementary income to the poor rural people but this sector is highly affected due to high incidence of different diseases. Peste des petits ruminants (PPR) is one of the major diseases of small ruminants which is having high incidence rate, morbidity and mortality rate in India. The literature related to economic losses due to PPR has been carefully reviewed and presented in this paper. Various researchers had estimated the economic loss of PPR due to its mortality and morbidity and found it to be high; still they felt many of the incidence, morbidity and mortality in small ruminants might have not been reported. The reviews of various papers and reports had also clearly pointed out high incidence, morbidity and mortality rate due to PPR in India. High economic loss in small ruminants is a major concern as it is mainly practiced by the small, marginal and landless farmers in India. The losses due to PPR might have reduced a major portion of their farm income among these rural people. To combat this threat comprehensive national programme have to be taken through combined efforts of local and national authorities along with continuous support and strengthening by international agencies.Keywords
Economic Loss, Morbidity, Mortality, Peste Des Petits Ruminants, Small Ruminants.References
- Abubakar, M., Jamal, S.M., Hussain, M. and Ali, Q. (2008). Incidence of peste des petits ruminants (PPR) virus in sheep and goat as detected by immuno-capture ELISA (Ic ELISA). Small Ruminant Res.,75 : 256–259.
- Awase, M., Gangwar, L.S., Patil, A.K., Goyal,G. and Omprakash (2013). Assessment of economic losses due to peste des petits ruminants (PPR) disease in goats in Indore Division of Madhya Pradesh. Livestock Res. Internat., 1(2):61-63.
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- Dhar, P., Sreenivasa, B.P., Barrett, T., Corteyn, M., Singh, R.P. and Bandyopadhyay, S.K. (2002). Recent epidemiology of peste des petitsruminants virus (PPRV).Vet. Microbiol.,88(2):153-159. doi:10.1016/S0378-1135(02)00102-5.
- Dixit, A.K., Kumar, V., Kumar, A., Mohan, B. and Rai, B. (2016). Economic losses due to peste des petits ruminants (PPR) disease in goats: a post outbreak sample study in Auraiya district of Uttar Pradesh. Vet. Practitioner, 17(2):301-302
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- Enhancing Farmers’ Income Through Integrated Farming System:An Economic Review
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Authors
Affiliations
1 Darjeeling Krishi Vigyan Kendra (U.B.K.V.), Kalimpong (W.B.), IN
2 Regional Research Station (U.B.K.V.), Kalimpong (W.B.), IN
1 Darjeeling Krishi Vigyan Kendra (U.B.K.V.), Kalimpong (W.B.), IN
2 Regional Research Station (U.B.K.V.), Kalimpong (W.B.), IN
Source
Agriculture Update, Vol 13, No 4 (2018), Pagination: 480-488Abstract
The farmers are sensitive to the economical benefits of the improved agricultural practices while adopting the practices for enhancing the income of farm families. Higher is the benefit obtained from the introduced enterprise combinations; the easier it is to motivate the farmers to adopt them in their farms. With the aim of doubling farmers’ income, identification of suitable farming system is the need of the hour. It is a very complex and serious problem, when share of agriculture in gross domestic product is declining, average size of land holding is gradually shrinking and number of operational holdings is increasing. It is imperative to develop strategies that enable adequate income and employment generation, especially for small and marginal farmers who constitute large majority of the farming community. In this circumstances of decreasing land holding size, it is essential to integrate enterprises such as dairy, piggery, goatery, fishery, poultry, duckery, apiary, along with field and horticultural crops so as to make farming more remunerative and reliable options for the farmers. The literature related to integrated farming systems (IFS) has been reviewed carefully in terms of economic contribution, employment generation, vulnerability reduction and constraints in IFS.Keywords
Integrated Farming System, Economic Contribution, Employment Generation, Vulnerability Reduction.References
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