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Research Detail

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Md. Saiful Islam
Scientific Officer
Socioeconomic Research Division Bangladesh Livestock Research Institute, Savar,Dhaka-1341

Dr. Nathu Ram Sarker
Principal Scientific Officer
Animal Production Research Division Bangladesh Livestock Research Institute Savar,

Most. Mahfuja Khatun
Scientific Officer
Socioeconomic Research Division Bangladesh Livestock Research Institute, Savar,Dhaka-1341

Producing and trading of green fodder are recognised as a profitable venture in many parts of the country, but data and information in this aspect are very scanty. In this regard, four study areas were selected from four districts viz: Dinajpur, Jessore, Kurigram and Rangpur. A purposive sampling technique was followed for collecting primary data. Three categories of sample farmers were selected namely: i) Fodder Producer cum seller; ii) Fodder Producer cum Dairy owner and iii) Fodder Middlemen. Functional analysis revealed that fodder sale and livestock rearing and fodder business significantly contributed to the household income of the fodder farmers and middlemen. The dairy farmers having 1-2, 3-4 and 4-5  cross-bred dairy cattle earned Tk. 1,20,227, Tk. 1,91,728 and Tk. 4,17,287, respectively, whereas local cattle earned Tk. 33, 658, Tk. 51,601 and Tk. 1,13,558, respectively from milk sell annually. Fodder processing was not observed in the study areas. Farmers sold green fodder to dairy owner or to middlemen. Farmers faced problems such as the scarcity and higher wage of labour, lack of transportation facilities and lack of marketing facilities. The government should provide HYV fodder, and organized market to the fodder farmers.

  Fodder production, Fodder marketing, and Income coefficient
  Dinajpur, Jessore, Kurigram, and Rangpur.
  01-07-2013
  30-06-2014
  Socio-economic and Policy
  Fodder

1. To determine the income coefficient of fodder farm households; 2. To study the fodder marketing and processing in the areas;  and 3. To explore the problems of fodder marketing and processing at farm level.

Multi-strata sampling procedure was followed for collecting primary data for this study. In the first stage of sampling, four fodder growing districts, namely Rangpur, Dinajpur, Kurigram and Jessore were selected purposively. In the second stage, one upazila was purposively selected from each district as the study location considering the concentration of fodder production and marketing. The selected upazilas were Badarganj under Rangpur district, Chirirbandar under Dinajpur district, Kurigram Sadar under Kurigram district and Jessore Sadar under Jessore district. In the third stage, a total of 200 fodder farmers and middlemen taking 50 from each upazila were randomly selected from each selected district. Fodder farmers were grouped into two categories such as: i) Fodder producer cum seller; and ii) Fodder producer cum dairy owner having 1-2 dairy cows as small, 3-4 dairy cows as medium, and 5 and above dairy cows as large farmer. Fodder middlemen were who had taken fodder business as primary occupation. The analysis was done using descriptive statistics like percentage, frequency distribution, mean, and rank where appropriate. Functional analysis - The following Cobb-Douglas type revenue function model was used to determine the income coefficient of the fodder producer and middlemen. Y = a X1b1 X2b2 X3b3 X4b4 X5b5 X6b6eui . The Cobb-Douglas type revenue function was transformed into following logarithmic form so that it could be estimated by the ordinary least squares (OLS) method. For estimating the income coefficient of fodder producer cum seller, the model was as follows: In Y = Ina + b1InX1+ b2InX2 + b3InX3 + b4 InX4 + b5InX5 + b6InX6 + Ui . Where, Y = Total household income (Tk./year), X1 = Income from crop production (Tk./year), X2 = Income from fisheries (Tk./year), X3 = Income from fodder sale (Tk./year), X4 = Income from service (Tk./year), X5 = Income from business (Tk./year), X6 = Income from livestock rearing (Tk./year), For estimating the income coefficient of fodder producer cum dairy owner, the model was as follows: In Y = In a + b1InX1+ b2InX2 + b3InX3 + b4InX4 + b5InX5+ Ui Where, Y = Total household income (Tk./year), X1 = Income from crop production (Tk./year), X2 = Income from fisheries (Tk./year), X3 = Income from service (Tk./year), X4 = Income from business (Tk./year), X5 = Income from livestock rearing (Tk./year), For estimating the income coefficient of fodder middlemen, the model was as follows: In Y = In a + b1 In X1+ b2 In X2 + b3 In X3 + b4 In X4 + b5 In X5 +Ui Where, Y = Total Household Income (Tk. /year), X1 = Income from crop production (Tk. /year), X2 = Income from fisheries (Tk. /year), X3 = Income from fodder business (Tk. /year), X4 = Income from labour sale (Tk. /year), , X5 = Income from livestock rearing (Tk. /year),   a = Constant/intercept;   b1, b2…..b6 = Coefficients of the respective variables; and  ui = Error term.

  Bangladesh Journal of Livestock Research. Volume 20, number 2 (July-December),2013, ISSN 1022-3851 (Accepted for publication)
  
Funding Source:
1.   Budget:  Five Lakh
   Five Lakh

Functional analysis revealed that fodder sale and livestock rearing and fodder business significantly contributed to the household income of the fodder farmers and middlemen. The dairy farmers having 1-2, 3-4 and 4-5  cross-bred dairy cattle earned Tk. 1,20,227, Tk. 1,91,728 and Tk. 4,17,287, respectively, whereas local cattle earned Tk. 33, 658, Tk. 51,601 and Tk. 1,13,558, respectively from milk sell annually. It was found that fodder middlemen’s income from fodder business highest in Kurigram district and lowest in Jessore district. Fodder processing was not happened in the study areas. Main marketing channels were: (i) Producer cum seller-Dairy owner and (ii) Producer cum seller-Fodder Middlemen-Dairy owner. Fodder farmers faced various socioeconomic problems during its processing and marketing. The major problems were the scarcity and higher wage of labour, lack of transportation facilities, unorganized and unregulated market and lack of marketing facilities. The government should provide HYV fodder, and organized market to the fodder farmers in the study areas.

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