Upoma RH1, Mazumder MSJ1, Monshi MH2*, Mouri MH3, and Alam M1*
1Department of Agricultural Statistics, Sylhet Agricultural University, Sylhet-3100, Bangladesh
2Department of Economics, University of Chittagong, Chittagong-4331, Bangladesh.
33Faculty of Agriculture, Sylhet Agricultural University, Sylhet-3100, Bangladesh.
Abstract
The study aimed at evaluating the determinants of productivity of betel leaf cultivation among the
farmers of two districts namely Sylhet and Moulvibazar administered under Sylhet division, Bangladesh.
A total of 80 respondents were selected as the sample using multistage random sampling technique for achieving
objectives of the study. Data were collected through a structured questionnaire during the month of March, 2020.
Based on the objective’s descriptive statistics, ANCOVA and stepwise regression model were employed to analyze the data.
The study found that, most of the farmers of betel leaf were followed their indigenous knowledge and technology to cultivate
betel leaf. ANCOVA and stepwise regression model were employed to identify the factors as well as their impact on betel leaf
production. The study identified the factors that significantly influenced the productivity of betel leaf farming i.e. the
involvement of marketing agreement, access to training, access to irrigation, amount of cow dung applied and land area under
betel leaf cultivation. The study also confronted some problems associated with the betel leaf cultivation like excess
rainfall during peak season, insufficiency of irrigation water, disease attacks and low price of betel leaf. Therefore, this
study provide essential information that can be used by the growers, scientists, exporters, policy makers to increase the
productivity of betel leaf cultivation in the future. This study will build a foundation for further research based on the
present background.
Keywords:
Betel leaf, agronomic practice, productivity, determinants, Sylhet division
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