Abstract:
Roof top garden is a practice for cultivation of crops on roof top on a building either
in peri-urban or urban areas. The experiment was conducted at roof top of Mushroom
laboratory, Horticulture Research Centre (HRC), Bangladesh Agricultural Research
Institute (BARI), Gazipur during July 2016 to June 2017. The experiment was laid out
in Completely Randomized Design (CRD) having single factors with three
replications. Nine treatment of this experiment were T
ii
1
= Plastic box 1, T
= Plastic
box 2, T
3
= Plastic box 3, T
4
= Plastic box 4, T
5
= Plastic box 5, T
6
2
= Plastic box 6, T
=
Plastic box 7, T
8
= Half drum, T
= Sac/ Multilayer box and three roof top garden
models viz., Model 1, Model 2, Model 3 included in the study. Each model consists of
22 type vegetables. Considering the 3 models, there were a narrow difference in term
of vegetable yield and prices. In terms of vegetables yield during one year from a 100
sqft area, Model 2 produced the maximum yield (76 kg) followed by Model 1 (68.5
kg), while lowest by Model 3 (66.5 kg). The yield variation was very narrow due to
maximum vegetables were same in among 3 model, while only 2-3 vegetables were
differed. In terms of vegetable price, Model 2 obtained the maximum (2374 tk)
followed by Model 1 (2278 tk), while minimum was from Model 3 (2116 tk).The
main cause behind it was the number of vegetables was same (22) in all models. Just
rearrangement the vegetables within the treatments and type of production system
viz., single cropping, inter cropping and relay cropping. So, on a roof garden from a
100 sqft area, anybody can follow any model preferably Model 2 and Model 1, which
vegetable price (2374 tk, 2278 tk, respectively) and yield (76 kg, 68.5 kg,
respectively) were higher. This study was just 1-year result, so after another year trial
it may be concluded which model is best in terms of yield and price.
Description:
A Thesis
Submitted to the Faculty of Agriculture,
Sher-e-Bangla Agricultural University,
Dhaka, in partial fulfillment
of the requirements
for the degree
of
MASTER OF SCIENCE
IN
AGROFORESTRY & ENVIRONMENTAL SCIENCE