Abstract:
A study was conducted to identify the status of mango production, mango varieties produced,
and to explore their relationship with some selected characteristics. Data were collected from
randomly selected 120 mango growers from six selected villages of Shibganj upazila under
Chapainawabganj district through personal interview during March to August, 2022. Data were
collected on age, education, family size, farm size, land used in mango production, annual
income, experience and knowledge on mango production, varieties and number of mango trees
and so on. Estimated three dependent variables on some selected characteristics of mango
production. In the study, about three fourths (79.20 %) and more than the same (70.80 %) of
the respondents had high mango production and very high income respectively. Majority (74.2
%) of respondents involved in mango production had high (>10 ton) production and medium
production percentage was also so sound with 13.3% of respondents (7-10 ton). So, it may be
concluded that, the study area bears a better mango production sign. For mango production,
highest proportion (45%) of respondents had moderately large sized (1.01-2.80 ha) of land
which were almost entire (1.01-3.00 ha) of the farm size though mango cultivated land in
homestead area were negligible and had no effect on total production. The study indicated that
large farm size, land use in mango production, annual income, and knowledge in mango
production had major determents’ of annual mango production and annual income from mango
production individually. Although respondents certified that Chapainawabganj district is
profitable in respect of mango production but further study should be taken place with other
variables and characteristics that related to farmers in mango production in different upazila of
Chapainawabganj district.
Description:
A Thesis Submitted to the Department of Agricultural Statistics, Sher-e-Bangla Agricultural
University, Dhaka-1207, in partial fulfillment of the requirements for the degree of
MASTER OF SCIENCE
IN
AGRICULTURAL STATISTICS