Abstract:
ABSTRACT
The objectives of this study were to describe the selected characteristics of the smallholder
dairy farmers, to determine the average yield of milk production in small scale dairy farming
and to identify the contribution of the farmers selected characteristics to the milk production
of their rearing cows. The study was conducted in four villages of two unions under Bhandaria
upazila of Pirojpur district. A total of 93 smallholder dairy farmers were selected randomly
from a population of 229 dairy farmers. Data were collected from the dairy farmers during the
period of 27th December, 2019 to 12th February, 2020 by using an interview schedule.
Multiple regression coefficient was used to examine the contribution of the selected factors of
the smallholder dairy farmers. The majority (48.3 percent) of the dairy farmers belonged to
medium production category followed by low production (36.6 percent) and high production
(15.1 percent). Among the respondents, a total of 84.9 percent respondents had low to medium
production performance. Seventy point three percent (R2 = 0.703) of the variation in the
respondents’ milk production performance can be attributed to their age, education, farm size,
annual family income, training in cattle rearing, extension media contact, experience in dairy
farming, time spends in cattle rearing, cattle herd size, farmers knowledge on milk production
and number of milking cow. Multiple regressions exposed that number of milking cow,
farmer’s knowledge on milk production, cattle herd size and training in cattle rearing were
significant contributing factors. Based on the findings of the study, it is concluded that
smallholder dairy farmer’s individual milk production performance is low but there is an ample
scope to increase milk production considering these significant factors by the personnel of
DLS.
Description:
A thesis
Submitted to the Department of Agricultural Extension and Information System
Sher-e-Bangla Agricultural University, Dhaka
In partial fulfillment of the requirements
For the degree of
MASTER OF SCIENCE (MS)
IN
AGRICULTURAL EXTENSION AND INFORMATION SYSTEM
SEMESTER: July-December, 2018