Farmers’ Characteristics and Constraints in T-aman Rice Cultivation in Bangladesh
2. Introduction Bangladesh’s economy and rural society are strongly shaped by agriculture, which continues to play a pivotal role in employment generation, food supply, and livelihood security. Approximately four-fifths of the population are engaged in agricultural activities either directly or through related sectors, which contributes about 18.4% to the national gross domestic product [1]. Rice (Oryza sativa L.) is the staple food and the dominant crop, occupying approximately 80% of the cultivated land and serving as the primary source of calories for the population [2,3]. However, rapid population growth, declining cultivable land, and increasing climate variability pose serious challenges to sustaining rice production. Rice cultivation in Bangladesh follows three seasonal cycles—Aus, Aman, and Boro—among which transplanted Aman (T-aman) occupies the largest share, accounting for nearly half of the country’s total rice-growing area [4]. Despite its importance, T-aman productivity remains highly vulnerable to climatic stresses, including floods, drought spells, erratic rainfall, cold waves, and riverbank erosion. Such stresses are especially acute in northern Bangladesh, particularly in areas influenced by the Teesta and Jamuna river systems, where fragile agro-ecological conditions and limited opportunities for livelihood diversification restrict agricultural productivity. One of the most critical manifestations of agricultural vulnerability in northern Bangladesh is Monga, a recurring seasonal phenomenon of food insecurity and unemployment. Monga is most pronounced during the pre-harvest scarcity period preceding the Aman rice harvest (mid-September to mid-November) and, to a lesser extent, before the Boro harvest [5]. Poor or unstable Aman rice yields are widely recognized as a major driver of Monga, as rural livelihoods in the region are heavily dependent on agricultural wage labor and a limited number of cropping cycles. In districts such as Gaibandha, Kurigram, Rangpur, Nilphamari, and Lalmonirhat, crop failure or reduced T-aman productivity often leads to sharp income declines, food shortages, and heightened vulnerability among smallholder and landless households. Farmers’ ability to achieve stable T-aman production is constrained by multiple agronomic, environmental, and socio-economic factors. These include drought or untimely rainfall, flooding and waterlogging, lack of early-maturing or stress-tolerant varieties, inadequate access to quality seed, limited extension support, and poor access to inputs [6]. The extent to which farmers confront these problems is not uniform and may vary depending on individual characteristics. Understanding how these characteristics influence farmers’ problem confrontation is essential for designing effective extension strategies and policy interventions aimed at improving T-aman productivity and reducing Monga-related food insecurity [7]. Despite the recognized importance of T-aman rice for food security in northern Bangladesh, systematic empirical evidence on the nature and severity of problems faced by farmers—and how these problems relate to their socio-economic characteristics—remains limited [8]. Most existing studies focus on poverty, food security, or climatic vulnerability, with comparatively little attention given to farmer-level problem confrontation in T-aman cultivation. Addressing this knowledge gap is crucial for developing targeted, context-specific solutions [9]. We did the study to assess the severity of constraints encountered by farmers in cultivation. We selected Monga-affected areas of northern Bangladesh and to examine the relationship between these problems and farmers’ selected personal, economic, and communication characteristics [10]. The findings are expected to provide valuable insights for agricultural extension services, development practitioners, and policymakers seeking to enhance rice productivity and mitigate seasonal food insecurity in vulnerable regions [11]. 3. Materials and Methods Study Area The study was conducted in two villages—Rajabirat and Katabari—located in Gobindaganj Upazila of Gaibandha district, northern Bangladesh. These villages are situated approximately 20 km and 10 km northeast of the district headquarters, respectively. The study sites were selected purposively due to their high dependence on T-aman cultivation and the absence of prior empirical studies addressing farmers’ problem confrontation in T-aman production in this area. Population and Sampling An updated sampling frame comprising 1,029 T-aman farmers was compiled with support from local Sub-Assistant Agricultural Officers. From this population, 10% of farmers (n = 103) were selected. Survey Instrument and Pre-testing Information was gathered out using an interview schedule specifically designed to address the study objectives. The instrument comprised both open- and closed-ended questions and applied appropriate scaling techniques for measuring the selected variables. Before the main survey, the schedule was pilot-tested with ten T-aman farmers from outside the study area, and revisions were subsequently made to enhance clarity, relevance, and overall consistency. Measurement of Variables Farmers’ Characteristics The study examined nine independent variables: age, level of education, family size, experience, area, annual income, knowledge, extension media contact, and innovativeness. Problems Faced by Farmers in T-Aman Rice Production Problem confrontation was measured using 15 statements related to constraints in T-aman cultivation. The severity of each problem was rated by respondents using a four-point scale ranging from high (3) to not at all (0).An overall problem confrontation score was calculated for each farmer by compiling the responses, yielding a possible range of 0–45, with higher values indicating greater severity of problems.To prioritise individual constraints, a (PCI) was calculated. Hypothesis Testing The null hypothesis posited that farmers’ problem confrontation in T-aman cultivation was not significantly associated with their selected socio-economic and communication characteristics. Data Collection Procedure The researcher collected data via direct, face-to-face interviews during October 2012. Interviews were carried out at respondents’ homes or fields during their leisure time. Rapport was established prior to interviews to ensure accurate and reliable responses. Statistical Treatment and Data Analysis The collected data were coded and analyzed using SPSS software (version 11.5). The data were summarized using descriptive statistical measures, including frequencies, percentages, means, and standard deviations. Relationships between farmers’ characteristics and problem confrontation scores were analyzed using Pearson’s Correlation Coefficient (r) at the 5% probability level (p ≤ 0.05). 4. Result 4.1 Socio-economic and Farm Characteristics of the Farmers The linkage between selected farmer attributes and problems facing were analyzed using Pearson’s product-moment correlation coefficients, as presented in Table 4.11. The variables show negative or non-significant relationship. 4.4 Severity Ranking of Problems in T-aman Cultivation The severity of 15 selected problems was assessed using the Problems Confrontation Index (PCI). PCI values ranged from 69.6 to 279.5 (Table 4.12). High cost of production ranked … Read more