Exploring the Potential and Performance of the Oilseed Mustard Variety Binasharisha-9 in Some Selected Areas of Bangladesh
Razia Sultana *
Agricultural Economics Division, Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh, Bangladesh.
Md. Habibur Rahman
Agricultural Economics Division, Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh, Bangladesh.
Mohammad Rashidul Haque
Agricultural Economics Division, Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh, Bangladesh.
Md. Mohsin Ali Sarkar
Agricultural Economics Division, Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh, Bangladesh.
Syful Islam
Agricultural Economics Division, Bangladesh Institute of Nuclear Agriculture (BINA), Mymensingh, Bangladesh.
Ashrafun Nahar
Department of Agribusiness, Faculty of Agricultural Economics and Rural Development, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh.
Mohammad Monirul Hasan Tipu
Plant Pathology Division, Bangladesh Agricultural Research Institute (BARI), Gazipur, Bangladesh.
Nowrin Islam Toma
Department of Agricultural Economics, EXIM Bank Agricultural University, Bangladesh.
*Author to whom correspondence should be addressed.
Abstract
The study aimed to identify the profitability of mustard variety and was conducted in three Binasarisha-9 growing areas of Bangladesh, namely Mymensingh, Sherpur and Ranpur district. In total, data were collected from randomly selected 180 farmers, 60 farmers from each area. Survey was conducted in sadar, Gouripur and Nalitabari Upazila of Rangpur, Mymensingh, and Sherpur district, respectively. From each areas 30 farmers was adopters and 30 was non-adopters. In the sampled areas data were collected through pre-designed interview schedule from January-March, 2019. Tabular, descriptive statistics and logit model were used to fulfill objectives.The study ascertains that mustard production is profitable. The average per hector net return was Tk. 22278.34 and profitability ratio was 1.50. Thirteen explanatory variables were performed in logit regression analysis in this study. The result of logit regression model shows that experience of household head, farm size, annual income, yield, training, and extension contact were found as positively significant and earning person, duration and weather were found as negatively significant variables in explaining the variation in Binasarisha-9 adoption of farm households. The major constraints were: About 20% mentioned about lack of training facilities and was top ranked followed by quality seed in timely (13.33%), infestation of disease (11.11%), and other (9.99%) were found among the mustard growers.
Keywords: Mustard, Binasarisha-9, profitability, logit model, cost, chi-square.