Abstract-Only transplanted Aman (T. Aman) rice is one of the major cropping sequences in the medium saline, irrigation water lacking area of the coastal Bangladesh which requires suitable succeeding crop with early planting in moist soil and to escape damage from the effect of storm surges and water logging due to rainfall in May. A field trial was conducted in 2012 to compare the early dibbled sunflowers in zero tilled soil with traditional tilled one after T. Aman rice. Sunflower was planted on four dates, 14 January (zero tillage in moist soil), 22 and 29 February and 5 March (tilled field at field capacity). Results indicated that dibbling on 14 January produced significantly taller plant, larger head and higher seed yield (3.06 t ha -1 ) than those of other planting dates (2.54 to 2.68 t ha -1 ). The farmers' led validation of zero tilled dibbled sunflowers in the following year confirmed its earlier planting and higher productivity.
Rice (Oryza sativa L.) production technology adoption requires effective farmers’ training for narrowing knowledge gap. This paper assesses the result of community training on the extent of adoption of improved rice production practices in low land rice of south western Bangladesh. A total of 531 farmers were trained through community training approach and 177 farmers were randomly selected for data collection. The extent of adoption of improved rice production practices and reasons for nonadopting technologies were solicited by personal interview with the help of a semi-structured questionnaire. Collected data were analysed using descriptive and inferential techniques. The community training was suited to adopt rice production technologies. The adoption of different rice production technologies was greater by the adopters of Satkhira district compared to Khulna that resulted in significant rice yield difference. The constraints against the adoption of the selected rice production technologies show that a portion of adopters was not convinced to adopt row transplanting, skipped row planting and birds perch for controlling insects, use of appropriate K and S fertilizers due to requirement of higher labour and fertilizer and risk of reduction of rice yield. The integration of other extension methods such as method and result demonstration might enhance the rate of adoption of those rice production technologies.
SAARC J. Agri., 17(1): 1-11 (2019)
Anthropogenic activities have a significant influence on land use and land cover (LULC) changes, especially in rapidly growing areas. Among several models, the combination of a cellular automata–artificial neural network (CA-ANN) model is being widely used for assessing future LULC changes using satellite images. This study aimed to investigate LULC changes in Gazipur City Corporation (GCC), Bangladesh, and the changes in LULC patterns over the last two decades (2002 to 2022). In this study, the maximum likelihood supervised classification technique was used for processing the available satellite images. The results show that the urban area and vegetation coverage increased by 150% and 22.78%, whereas the bare land and waterbody decreased by 7.02% and 78.9%, respectively, from 2002 to 2022 inside the GCC area. For future LULC predictions, the CA-ANN model was developed, the accuracy percentage of which was 86.49%, and the kappa value was 0.83. The future LULC prediction model results show that the urban area will increase by 47.61%, whereas the bare land and waterbody are supposed to decrease by 24.17% and 67.23%, respectively, by 2042. The findings of this study could be useful for future sustainable urban planning and management, as well as enabling decision making by authorities for improvements in environmental and ecological conditions in the study area.
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