Estimating cost of production of coconut in a region

A methodology for estimating cost of production of coconut in a region is proposed by taking into account the establishment cost of the garden as well as the annual maintenance cost. Stratified multistage sampling design was adopted for collecting data from different growth stages of the crop. District level estimates of cost of production of coconut have been worked out on the basis of a survey carried out in three districts of Kerala state namely Kozhikode, Ernakulam and Thiruvannanthpuram. The cost of production of coconut (i.e., all paid out cost (Cost A) + imputed family labour) per 100 nuts, in Kozhikode, Ernakulam and Thiruvannanthpuram districts as estimated from the survey data is Rs. 198, 374 and 293, respectively for the year 2001. The per cent standard error obtained was 11.18, 15.4 and 15.45 in that order. The methodology evolved in this study can be used for arriving cost of production in all the major coconut growing districts/states in India

Estimating cost of production of coconut in a region

A methodology for estimating cost of production of coconut in a region is proposed by taking into account the establishment cost of the garden as well as the annual maintenance cost. Stratified multistage sampling design was adopted for collecting data from different growth stages of the crop. District level estimates of cost of production of coconut have been worked out on the basis of a survey carried out in three districts of Kerala state namely Kozhikode, Ernakulam and Thiruvannanthpuram. The cost of production of coconut (i.e., all paid out cost (Cost A) + imputed family labour) per 100 nuts, in Kozhikode, Ernakulam and Thiruvannanthpuram districts as estimated from the survey data is Rs. 198, 374 and 293, respectively for the year 2001. The per cent standard error obtained was 11.18, 15.4 and 15.45 in that order. The methodology evolved in this study can be used for arriving cost of production in all the major coconut growing districts/states in India

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Not AvailableHorticulture sector, a significant sector of agriculture, has emerged as an important component of the Indian economy contributing more than one-fourth share in the economy of agriculture and allied sectors. Fruits and vegetables account for nearly 90% of the total horticulture production in the country. Availability of reliable statistics about area and production of these crops at various levels has been one of the basic requirements of proper planning for increasing the production of these crops in the country. The estimates of area and production of important fruits and vegetables were obtained under the scheme “Crop Estimation Survey on Fruits and Vegetables (CES - F&V)” only for eleven states. An alternative sampling methodology for estimation of area and production of different horticultural crops was developed by Ahmad et al. (2011). In this paper, an attempt was made to estimate the area, production and productivity of important fruits and vegetables for Himachal Pradesh State using the alternative sampling methodology. Optimum sample size was also determined for obtaining reliable estimates of production of fruits and vegetablesNot Availabl

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Not AvailableHorticulture sector has emerged as an important component of the Indian economy. This sector of agriculture contributes to more than one-fourth share in the economy of agriculture and allied sectors. Fruits and vegetables account for nearly 90% of total horticulture production in the country. Although, India has emerged as a leading producer of these crops in the world, the reliable, adequate and timely estimates of the area and the production of these crops are not available from any source. In this paper, we report on the present methods of generation of data, pertaining to area and production of horticultural crops and the current methodologies under practice. We have also proposed alternative methodologies for estimation of area and production of horticultural crops. We have also worked out an optimum sample size for obtaining reliable estimates of production of fruits and vegetables. The estimates of total production of all major fruit and vegetable crops have been obtained for all the districts of Maharashtra and Himachal Pradesh (H.P.). Using the new estimation procedure in Maharashtra, the estimates of total production of important fruit crops such as mango, orange, grape and banana were obtained with percentage standard error between 4.19 and 19.21 and the total production of vegetable crops such as onion, tomato, potato and brinjal with percentage standard error between 9.30 and 29.34. The estimates of total production of important fruit crops such as apple, mango, and orange in H.P. were obtained with percentage standard error between 0.09 and 18.51 and of potato, tomato and peas with percentage standard error between 0.22 and 24.05. It is expected that at district level, the total production of important fruits can be estimated with less than 10 percent standard error and the total production of important vegetables can be estimated with less than 15 percent standard error at 95 percent confidence interval, if 80 villages are selected from each selected districtNot Availabl

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Not AvailableHorticulture sector is an important sub-sector of agriculture with its contribution of about 20% in the Indian economy of agriculture and allied sectors. Fruits and vegetables account for nearly 90% of total horticulture production in the country. Although, India has emerged as a leading producer of these crops in the world, we do not have official estimates on large number of fruits and vegetables. In this paper, we propose an alternative sampling methodology for estimation of area and production of different horticultural crops. The study has revealed very encouraging results and demonstrated the feasibility of estimating the production of fruits and vegetables with much smaller sample size.Not Availabl

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Not AvailableSheep rearing is an important activity, and 6 million people, especially the poor and backward sections of the society living in rural areas are engaged in this activity. In view of this importance, a study to estimate the sheep number, wool production and its related activities was carried out to get the latest estimates and also the changes which occurred due to the implementation of cross-breeding programmes in the country. The study was carried out in the districts of Kolar (Karnataka) and Bikaner (Rajasthan). The sampling design adopted under the study was stratified multi-stage random sampling and at each stage the units were selected by simple random sampling without replacment (SRSWOR). This article deals with the sampling strategy used for estimation of sheep number and wool production at district level.Not Availabl

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Not AvailableA study on the assessment of harvest and post harvest losses in marine fisheries was undertaken in Ernakulam district of Kerala, India. This paper deals with the loss occurring at the harvest stage. Losses were estimated to be 4.13% in the traditional non-motorized, 3.61% in the motorized, 14.48% in the small and medium mechanised crafts and 21.41% for large mechanized crafts. The main reasons for loss observed were discard of juveniles and low value fish and spoilage.Not Availabl

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Not AvailableIn India, fish is the major source of protein for over one-third of the population especially for the rural poor in coastal areas. The per capita consumption of fish in India is 9.8 kg. against the recommended intake of 13 kg. The marine fish production has also been stagnating over recent years (CMFRI, 2004). As per FAO, the post harvest loss in world fisheries is 10%.Considering the nutritional significance coupled with stagnating catches in India, it is imperative that losses at all levels should be reduced. A pilot study to assess harvest andpost harvest losses in the marine sector was carried out by Central Institute of Fisheries Technology, Cochin in collaboration with Indian Agricultural Statistics Research Institute, New Delhi. This paper presents the results obtained vis-a-vis the post harvest sector in the study.Not Availabl