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Research Detail

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N. Mohammad
Scientific Officer
Scientific Officer, ASICT Division, BARI, Gazipur-1701

M. S. Islam
Principal Scientific Officer
Principal Scientific Officer, ASICT Division, BARI, Gazipur-1701

K. S. Rahman
Scientific Officer
Scientific Officer, ASICT Division, BARI, Gazipur-1701

M. M. Rahman
Scientific Officer
Scientific Officer, ASICT Division, BARI, Gazipur-1701

S. Nasrin
MS Student
Dept. of Statistics, Rajshahi University, Bangladesh

To improve efficiency in collecting data from field experiment on fruit attributes of bottle gourd (Lau), the sample size was studied for sample size at Olericulture Division, Horticulture Research Centre (HRC) of Bangladesh Agricultural Research Institute (BARI) Gazipur during 2012-13. The treatments/varieties were LS 0026-5-3, LS 0012-5-3, LS 117-F-1, LS 117-A-2 and BARI Lau-3. Fruit length, breadth and weight of bottle gourd (Lau) data were collected from the experimental plot. The data were used to design optimum sampling plan from equal number of observations per cell. The observation on fruit length (cm), breadth (cm) and weight (kg) were taken from 5 plots/treatments at random. A randomized complete block design (RCBD) with 3 replications and five treatments/varieties was used in this experiment. Five (5) plants per plot and 2 fruits per plants (10 fruits per plot) were the original sampling plan for this experiment. A sampling plan of selecting 4 plants at random and measuring 2 fruits per selected plant (8 fruits per plot and plots were 25m2 i.e. 10m long and 2.5m wide) was found to be optimum and economical for taking measurements of fruit attributes in field experiments on bottle gourd.

  Measurement, Optimum sample size, Sampling technique, Bottle gourd
  Olericulture Division, Horticulture Research Centre (HRC) of Bangladesh Agricultural Research Institute (BARI) Gazipur
  00-00-2012
  00-00-2013
  Crop-Soil-Water Management
  Bottle gourd

To improve efficiency in collecting data from field experiment on fruit attributes of bottle gourd

Sample size depends on the variability associated with variable and the cost of reducing that variability. For such cases, it is necessary to choose optimum sample size and number of replications. Estimation of optimum sample size and number of replications are obtained by maximizing the information for a given cost. There were five treatments/varieties used as treatment in this experiment. The treatments/varieties were LS 0026-5-3, LS 0012-5-3, LS 117-F-1, LS 117-A-2 and BARI Lau-3. Experimental plots were 25 m2 (10 m long and 2.5 m wide). Fruit length, breadth and weight of bottle gourd (Lau) data were collected from the experimental plot. This data were used to calculate optimum sampling plan from equal observation per cell. The observation on fruit length (cm), breadth (cm) and weight (kg) were taken from 5 plots or treatments selected at random. The fruit length, breadth and weight of first two fruits from each selected plant utilized in this analysis. There were 10 fruits (5 plants per plot x 2 fruits per plant) per plot and 50 fruits per replication. Considering the time factor, the data of three replications were collected for deriving optimum sampling plan (Optimum in the sense of time involved in taking fruits measurements). A randomized complete block design (RCBD) with 3 replication was used for this experiment. The data were analyzed replication wise by analysis of variance (ANOVA) technique.
 

  Bangladesh J. Agril. Res. 40(4): 703-709, 2015
  
Funding Source:
1.  Government Budget:  
  

Sampling of selecting 4 plants at random per plot and measuring 2 fruits each selected plant (total 8 fruits per plot) appeared optimum and efficient (closed to original sampling plan i.e. 10 fruits per plot ).

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