Greenhouse gas emissions from selected cropping patterns and adaptation strategies in Bangladesh

There are many cropping patterns existed at farmers’ field in Bangladesh. Different amounts of greenhouse gas (GHG) emission takes place from different crops fields, but data are not well examined in Bangladesh. In order to estimate GHG emission from agriculture fields, Cool Farm Tool Beta-3 was used for selected cropping patterns. The non-rice based cropping patterns had lower global warming potential (GWP) than rice-rice based cropping patterns. Onion-Jute-Fallow, Jute-Rice-Fallow, Wheat-Mungbean-Rice and Maize-Fallow-Rice patterns are relatively more suitable for reducing GHG emission and subsequent GWP. There were spatial variations in CH4 emissions and the higher amounts were found in Mymensingh and Dinajpur districts of Bangladesh. On an average, about 1.39-1.56 Tg year-1 CH4 emissions took place from paddy field in Bangladesh during 2012-2015. However, Potato-Boro-T. Aman and Mustard-Boro-T. Aman cropping pattern showed highest total rice equivalent yield (REY) and low GWP than Boro-T. Aman-Fallow cropping patterns. But intermittent drainage for growing dry season irrigated rice under Potato-Boro-T. Aman and Mustard-Boro-T. Aman patterns can be adopted to reduce about 24-26% of total GHG emissions than continuous flooding and also to maintain higher crop productivity and food security in Asian countries like Bangladesh.