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ThesisItem Open Access Application of market information system of major agricultural commodities in Haryana(CCSHAU, 2017) Veer Sain; Kundu, K.K.The study on “Application of Market Information System of Major Agricultural Commodities in Haryana” was carried out with the following objectives : (1) To study the existing market Information Sytem for Basmati rice, maize, mustard, gram and cotton crops in Haryana, (2) To study the pattern and extent of dissemination and utilization of existing formal information by stakeholders, (3) To estimate the price forecasts and long term relationship in prices among domestic markets, and (4) To identify the constraints in the existing formal information system and suggest possible alternatives. The present study covered Karnal, Ambala, Mahendergarh, Bhiwani and Sirsa districts of Haryana (selected purposively). Two blocks from each district i.e. from Karnal (Karnal and Assandh), Ambala (Naraingarh and Sahazadpur), Mahendergarh (Mahendergarh and Kanina), Bhiwani (Siwani and Tosham) and Sirsa (Dabwali and Baragudha) having the maximum area under the major agricultural commodities were purposively selected for the present study. Form each district, four regulated markets were randomly selected due to maximum arrival i.e. Basmati Rice from Karnal (Karnal, Gharaunda, Assandh and Taraori), maize from Ambala (Sahazadpur, Mullana, Naraingarh and Ambala city), mustard from Mahendergarh (Mahendergarh, Ateli, Kanina and Narnaul), gram from Bhiwani (Siwani, Charkhi Dadri, Tosham and Bhiwani) and cotton from Sirsa (Dabwali, Ellenabad, Sirsa and Kalanwali) under the major agricultural commodities. Out of the total sample, 60 farmers from each district so 30 farmers one block and 10 traders from each regulated market, so 40 traders from each district were randomly selected. Thus, the sample size consisted of 300 farmers, 200 traders and 20 market committees. Out of the expectations of farmers on quality, prices in potential markets, price projections; only arrivals and prices were documented and disseminated with traditional/modern approach. Hence, there is a need to create awareness among the farmers through the agricultural extension agencies like the State Department of Agriculture, Krishi Vigyan Kendras, etc. so that the marketing information on agricultural commodities is incorporated in the extension services along with production aspects to the farmers. Forecasting of prices showed that the prices of Basmati rice, maize, mustard, gram and cotton in Karnal, Ambala, Mahendergarh, Bhiwani and Sirsa districts, respectively were moving in same trend as predicted. The Dickey-Fuller test indicated that the order of integration of prices among selected markets was similar with zero suggesting that the prices are integrated in the long run in Karnal, Ambala, Mahendergarh, Bhiwani and Sirsa districts. ARIMA model could be used for forecasting prices of other agricultural commodities and transmitted through a network to the farmers so as to enable them to make appropriate production and marketing decisions.