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Sendhil, R.
- Strategies for Increasing Production and Productivity of Wheat and Barley
Authors
1 Wheat Research, Karnal 132 001, IN
Source
Current Science, Vol 106, No 4 (2014), Pagination: 502-504Abstract
No Abstract.- Potential Pathways for Increasing the Productivity of Wheat and Barley
Authors
1 ICAR-Indian Institute of Wheat and Barley Research, Karnal 132 001, IN
Source
Current Science, Vol 112, No 05 (2017), Pagination: 895-896Abstract
The 55th All India Wheat and Barley Research Workers' Meet was organized to review work done under the All-India Coordinated Wheat and Barley Improvement Programme during 2015-16 and finalization of work plan for 2016-17.- Transforming Indian Agriculture:Is Doubling Farmers' Income by 2022 in the Realm of Reality?
Authors
1 ICAR-Indian Institute of Wheat and Barley Research, Karnal-132 001, IN
2 Krishi Anusandhan Bhawan II, Pusa, New Delhi-110 012, IN
3 ICAR-National Institute of Agricultural Economics and Policy Research, Pusa, New Delhi-110 012, IN
Source
Current Science, Vol 113, No 05 (2017), Pagination: 848-850Abstract
Indian agriculture is essentially monsoon- and market-dependent, and suffers frequent distresses posing threat to the welfare of farmers as well as interest in farming. Declining farm productivity and income have serious implications on rural prosperity and overall economy. Hence, increasing the real farm income, i.e. nominal (actual) income adjusted to inflation has become a priority for the state and policy planners.References
- Chand, R. et al., Econ. Polit. Wkly, 2015, 50, 139–145.
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- Chandrasekhar, N. M., Econ. Polit. Wkly, 2016, 51, 10–13.
- Sen, A., Econ. Polit. Wkly, 2016, 51, 12– 15.
- Birthal, P. S., Kumar, S., Negi, D. S., and Roy, D., Agric. Econ., 2015, 46, 549–561.
- Chand, R. et al., Econ. Polit. Wkly, 2011, 46, 5–11.
- Sendhil, R., Kumar, A., Singh, S., Chatrath, R. and Singh, G. P., Indian J. Econ. Dev., 2017, 13, 1–8.
- Chand, R., Dr B. P. Pal Memorial Lecture, Indian Agricultural Research Institute, New Delhi, 26 May 2016; http: //iari.res.in.
- http://www.fao.org/publications/card/en/ c/20e3ff08-df6f-4e48-abd3-037eccdde9df/
- https://www.usaid.gov/what-we-do/agricultureand-food-security/increasing-foodsecuritythrough-feed-future
- Chadha, G. K., Ramasundaram, P. and Sendhil, R., Curr. Sci., 2013, 105, 908– 913.
- Technical Efficiency of Cooperative Member Vis-A-Vis Non-Member Dairy Farms in Gujarat-Application of Data Envelopment Analysis
Authors
1 Division of Dairy Economics, Statistics and Management, ICAR-National Dairy Research Institute, Karnal - 132 001, Haryana, IN
Source
Indian Journal of Economics and Development, Vol 6, No 2 (2018), Pagination: 1-9Abstract
Objectives: To compare the technical efficiency scores of dairy cooperative member and non-member farms across the districts in Gujarat selected from regions having different level of dairy development.
Methods/Statistical Analysis: The present study has analyzed and compared the technical efficiency of 180 dairy farmers using a non-parametric approach i.e., Data Envelopment Analysis (DEA). The study is based on the primary data collected during 2016-17 using a well-structured, comprehensive and pre-tested interview schedule. Apart from conventional analysis, box-plot and scatter-plot were used to compare the efficiency scores.
Findings: The investigation identified regional disparities in efficiency scores based on dairy development. The DEA results showed that member farmers of the district selected from low (Tapi), moderate (Bharuch) and highly (Anand) dairy developed regions were more efficient than their respective non-member counterpart. Similarly, the overall comparison between dairy cooperative members and non-members showed that the efficiency of member farmers was 83.27% while for non-members it was 75.31%. Further, the results revealed that small herd size farmers were most efficient in both member (87.21%) and non-member (81.59%) categories. The paper established that membership in dairy cooperatives; herd size as well as status of dairy development in a region greatly influences the technical efficiency of farmers.
Application/Improvements: Overall, the study concludes that 24.69% and 16.73% inefficiency exist respectively in dairy cooperatives non-member and member farms indicating the scope for increasing the realized output with same level of resources and production technology.
Keywords
Gujarat, Technical Efficiency, Dairy Cooperatives, Member, Non-Member, Data Envelopment Analysis.References
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- J.R. Stokes, P.R. Tozer, J. Hyde. Identifying efficient dairy producers using data envelopment analysis. Journal of Dairy Science. 2007, 90(5), 2555-2562.
- D. Mahida, R. Sendhil. Data analysis tools and approaches (data) in agricultural sciences. ICAR-Indian Institute of Wheat and Barley Research. 2017, 54-56.
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- S. Sirohi, D. Bardhan. Costs and returns in milk production: developing standardized methodology and estimates for various production systems. Project Report submitted to Department of Animal Husbandry. 2015.
- S. Mor, S. Sharma. Technical efficiency and supply chain practices in dairying: the case of India. Agricultural Economics (CZECH).2012, 8(2), 85–91.
- Tracking the Disparities in Gujarat Dairy Development – An Application of Biplot Analysis
Authors
1 ICAR-National Dairy Research Institute, Karnal 132 001, IN
2 ICAR-Indian Institute of Wheat and Barley Research, Karnal 132 001, IN
Source
Current Science, Vol 114, No 10 (2018), Pagination: 2151-2155Abstract
Gujarat, despite being a highly progressive state of India in terms of dairying, has great potential to enhance its milk production and make dairying a more lucrative enterprise. It is home to many high quality dairy animal breeds and has a very active milk cooperative structure which can accelerate the possibilities of uplifting the level of milk production further, if proper and balanced micro level development policies are promoted. The present study depicts the causes for disparities besides analysing the strengths and weaknesses in dairying across 26 districts in Gujarat. To identify and capture the variation in resource use which causes disparities in dairy development, the principal component analysis-based biplot technique was employed. Data on different variables like resource availability, infrastructure and veterinary facilities, and, milking animals and their yields have been sourced from 26 districts of Gujarat for tracing the disparity. The conclusions drawn from the biplot imply that promoting the quality of animal breeds and increasing the population of high yielding cattle breeds in low-developed districts can lead to high milk production. In the setting of increased milk production, the cooperative milk marketing structure will become more dynamic and result in enhanced income for dairy producers.Keywords
Biplot, Eigen Value, Gujarat Dairy Development, PCA, Regional Disparity.References
- NDDB, 2015–16; http://dahd.nic.in/sites/default/files/NDDB%-20AR%202015-16.pdf (accessed on 18 May 2017).
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- Chakraborty, S., On world milk day, a look at how India became the largest producer and why it continues to be so. Financial Express, 2017; http://www.financialexpress.com/economy/on-world-milk-day-a-look-at-how-india-became-the-largest-producer-and-why-it-continues-to-be-so/695991/
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- Kale, R. B., Ponnusamy, K., Chakravarty, A. K., Sendhil, R. and Mohammad, A., Assessing resource and infrastructure disparities to strengthen Indian dairy sector. Indian J. Anim. Sci., 2016, 86(6), 720–725.
- Gabriel, K. R., The biplot graphic display of matrices with application to principal component analysis. Biometrika, 1971, 58(3), 453–467.
- Torres-Salinas, D., Robinson-Garcia, N., Jimenez-Contreras, E., Herrera, F. and Lopez-Cozar, E. D., On the use of Biplot analysis for multivariate bibliometric and scientific indicators. J. Am. Soc. Infor. Sci. Technol., 2013, 64, 1468–1479; doi:10.1002/asi.22837.
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- Rana, V., Ram, S., Sendhil, R., Nehra, K. and Sharma, I., Physio-logical, biochemical and morphological study in wheat (Triticum aestivum L.) RILs population for salinity tolerance. J. Agric. Sci., 2015, 7, 119–128; doi:0.5539/jas.v7n10p119.
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- Evaluation of Alternate Animal Identification Techniques and Livestock Insurance Products in Bengaluru Rural District of Karnataka
Authors
1 ICAR- National Dairy Research Institute, Karnal-132001, IN
2 ICAR- Indian Institute of Wheat and Barley Research, Karnal-132001, IN
Source
Indian Journal of Economics and Development, Vol 6, No 9 (2018), Pagination: 1-9Abstract
Objectives: The present study evaluates different techniques used for identification of insured animals, assesses the farmers’ need and their willingness to buy insurance for different livestock insurance products. Methodology/Statistical Analysis: The data required for the study was collected by direct personal interview method based on a well-structured schedule from 120 sample households through multistage sampling technique in Bengaluru rural district of Karnataka. Scale ranging from very poor to excellent was used to assess the identification techniques based on considered parameters for the study. Conjoint analysis was used to calculate the estimated utilities for different livestock insurance products. Findings: It was found that plastic tag was having advantages in case of cost, labour requirement, application ease and animal health compared to plastic tag plus branding while plastic tag plus branding was advantageous in case of readability and durability compared to plastic tag alone. The estimated utility for mastitis was found highest (0.765) at one teat blindness and for metritis, estimated utility was highest (1.927) up to four number of services. The most important factors determining the farmers’ willingness to buy insurance were governed by the depreciation charge followed by level of teat blindness in case of mastitis and number of services in case of metritis disease. Application/Improvements: Insurance companies should maintain regular, reliable and complete database related with animal identification techniques in order to assess the efficiency of different animal identification techniques promptly. Insurance companies and Karnataka state Department of Animal Husbandry can include alternate insurance products viz., mastitis, metritis, transit insurance and theft with affordable premium charges which do not exist in the present livestock insuranceKeywords
Garrett Ranking Technique, Parameters of Identification Techniques, Conjoint Analysis.References
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- S.P. Singh. Factors influencing adoption of livestock insurance among dairy farmers in Karnal district of Haryana. Agricultural Economics. M.Sc. thesis, ICAR-NDRI, Karnal, Haryana. 2015; 1-125.
- J. Das, R. Raju. Determinants of consumption and willingness to pay for fermented probiotic dairy products in metropolitan Delhi. Indian Journal of Economics and Development. 2018; 14(2a), 447-452.
- M. Kurjogi, B. Kaliwal. Epidemiology of bovine mastitis in cows of Dharwad district. International Scholarly Research Notices. 2014; 1-9.
- S.S.N. Kumar, M.M. Appannavar, M.D. Suranagi. Study on incidence and economics of clinical mastitis, Karnataka. Journal of Agricultural Sciences. 2010; 23(2), 407-408.
- A. Singh. Development and validation of bilingual information module on transition period of dairy animals, Ph.D. thesis, ICAR-NDRI, Karnal, Haryana. 2015; 1-210.
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