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Research Detail

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Mr. J. C. Pandit
MS Fellow
Department of Agricultural Extension Education, Bangladesh Agricultural University, Mymensingh-2202

The study was conducted to determine the constraints faced by the farmers in commercial cultivation of vegetables and to explore relationship between the selected characteristics of the farmers and constraints faced by them. Data were collected through personal interview from 142 randomly selected respondents out of 1422 vegetable growers of the three villages viz. Panchpara, Bagan and Rampur, under Trishal Upazila of Mymensingh district during January to March 2011. In terms of overall constraints the highest portion (83.30%) of the respondents faced medium constraint. Based on constraint facing index (CEI), low price of vegetables during harvesting ranked first followed by lack of quality seed and high wages of labourer. Among the ten selected characteristics, level of education, family size, farm size, extension media contact, knowledge on vegetable production and cosmopoliteness showed significant negative correlation and family subsistence pressure showed significant positive correlation with farmers’ constraints in commercial cultivation of vegetables. Stepwise multiple regressions showed that extension media contact, cosmopoliteness and knowledge on vegetable production had greater influence on farmers’ constraints.

  Farmers’ constraints, Vegetables, Commercial cultivation
  Mymensingh
  00-00-2011
  00-00-2012
  Socio-economic and Policy
  Vegetables

i) To determine the constraints faced by the farmers in commercial cultivation of vegetables

ii) To explore relationship between the selected characteristics of the farmers and constraints faced by them.

The study was conducted in three villages, namely Panchpara, Bagan and Rampur, under Trishal Upazila of Mymensingh district in the year 2011-2012. The villages were selected purposively. The basis of the selection was availability of commercial vegetable growers. Total number of vegetable growers in three villages was 1422, which constituted the population of the study. Out of them 142 (10% of the total population) vegetable growers were selected randomly and proportionately from each of the three villages to constitute the sample. Data were collected from the respondents through direct interviewing method using a pre-tested structured interview schedule during January to March 2011. The independent variables of the study were ten selected socio-economic and demographic characteristics of the farmers. These were age, level of education, family size, farm size, annual income, family subsistence pressure (total number of family members per unit area (ha) of arable land), extension media contact, knowledge on vegetable production, cosmopoliteness and innovativeness. Appropriate methods were used to operationalize the independent variables by developing suitable scales. Constraints faced by the farmers in selected 5 aspects, viz. availability of seed, pest management, field management, marketing and extension media contact in commercial vegetable cultivation were the dependent variable of the study. The dependent variables were measured by constructing scores for each of the five aspects. The scale contained five possible constraints which the farmer might face in respect of each of the five aspects of constraints in vegetable cultivation. Each of the farmers was asked to indicate the extent of difficulty caused by each of the constraint by checking any of the four responses such as, ‘very high’, ‘high’, ‘little’ and ‘not at all’ and weight was assigned to these responses as 3, 2, 1 and 0, respectively. Thus the possible score of each respondent could range from 0 to 15 in each aspect, 0 indicating no constraints and 15 indicates facing high constraints. An overall constraint score for each respondent was computed by adding his constraints scores in all five aspects. Possible range of overall constraint score of the farmer could range from 0 to 75, while 0 indicating no constraint facing and 75 indicating high constraint facing. For clear understanding, the 25 aspects of constraints were arranged in a rank order by developing Constraint Facing Index (CFI) by using the formulae,  CFI= Pn×0 + Pl×1 + Ph×2 + Pvh×3, Where, CFI = Constraint Facing Index;  Pn = Percentage of farmers having no constraints; Pl = Percentage of farmers having little constraints;Ph = Percentage of farmers having high constraints and Pvh = Percentage of farmers having very high constraints. CFI for any aspect of constraint could range from 0 to 300, 0 indicating no constraint and 300 highest constraint. Data analysis was performed by using the Statistical Package for Social Sciences (SPSS). Descriptive analysis such as range, number, percentage, mean, standard deviation and rank order were used whenever possible. Pearson’s Product Moment Coefficient of Correlation was used in order to explore the relationship between the concerned variables. In order to have an understanding on the influence of independent variables on the dependent variable, stepwise regression analysis was conducted.

  J. Bangladesh Agril. Univ. 11(2): 193–198, 2013, ISSN 1810-3030
  
Funding Source:
  

On the basis of the findings and their logical interpretation, it can be concluded that majority of the vegetable growers faced medium to high constraints regarding all the aspects under study except extension media contact. In respect of individual constraint low price of vegetables during harvesting, non availability of quality seed, high wages of labourer and lack of storage facility were the major ones. So, concerned authorities should take proper steps to minimize the constraints so that the commercial vegetable growers can get expected return from their investment.

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