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Public Search Interests Related To Covid-19: Insights From Google Search Trends In Bangladesh, M. Ahamad, M. Ahmed, Daniel R. Uden
Public Search Interests Related To Covid-19: Insights From Google Search Trends In Bangladesh, M. Ahamad, M. Ahmed, Daniel R. Uden
School of Natural Resources: Faculty Publications
No abstract provided.
Spatial And Temporal Analysis Of A 17–Year Lightning Climatology Over Bangladesh With Lis Data, Rezaul Mahmood
Spatial And Temporal Analysis Of A 17–Year Lightning Climatology Over Bangladesh With Lis Data, Rezaul Mahmood
School of Natural Resources: Faculty Publications
No abstract provided.
The Role Of Soil Water Availability In Potential Rainfed Rice Productivity In Bangladesh: Applications Of The Ceres-Rice Mode, Rezaul Mahmood, David R. Legates, Mark Meo
The Role Of Soil Water Availability In Potential Rainfed Rice Productivity In Bangladesh: Applications Of The Ceres-Rice Mode, Rezaul Mahmood, David R. Legates, Mark Meo
School of Natural Resources: Faculty Publications
Soil water stress and its impact on the monsoon season potential rainfed rice productivity in Bangladesh is investigated. A crop growth simulation model, CERES-Rice, is applied to 16 locations representative of the major rice growing regions of Bangladesh to determine the impact of soil water stress on the regional scale potential yield for four transplanting dates: 1 June, 1 July, 15 July, and 15 August. A quantified estimate of potential yield loss for four regions and for Bangladesh as a whole is calculated for water stress during flowering and maturing stages. For example, in Bangladesh, average potential yield for 1 …
Air Temperature Variations And Rice Productivity In Bangladesh: A Comparative Study Of The Performance Of The Yield And The Ceres-Rice Models, Rezaul Mahmood
Air Temperature Variations And Rice Productivity In Bangladesh: A Comparative Study Of The Performance Of The Yield And The Ceres-Rice Models, Rezaul Mahmood
School of Natural Resources: Faculty Publications
Potential increase in air temperature due to climatic change and inter-annual climatic variability and its impacts on crop productivity is of major concern to crop scientists. A number of physically-based models have been developed and applied to estimate crop–environment relationships. In the present study the performance of two such models (the YIELD and the CERES-Rice) are discussed. These two models are used to estimate boro rice productivity under normal and abnormal climate scenarios in Bangladesh. This study finds that boro rice productivity at Mymensingh predicted by the YIELD is higher than the prediction by the CERES-Rice. Productivity estimates for Barisal …